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AI Governance

The Rise of Agentic AI Jobs: 15 Emerging Careers Shaping the Future of Work

/ Article/Stories

Artificial intelligence is moving beyond simply answering questions. The next phase of AI is increasingly about taking action. Traditional AI systems typically respond to a user’s instructions. Agentic AI goes a step further. These systems can interpret a goal, break it into smaller tasks, select appropriate tools, make decisions, learn from feedback and complete multi-step workflows with limited human intervention. As businesses begin experimenting with these autonomous systems, a new employment landscape is emerging. Alongside conventional AI and software roles, companies are likely to need professionals who can build, integrate, evaluate, secure and manage AI agents. Here are 15 emerging career paths associated with the growth of agentic AI. 1. Agentic AI Engineer Agentic AI Engineers design and build autonomous AI systems capable of planning and completing complex tasks. They work with large language models, agent frameworks and tool-calling systems to create agents that can operate with limited human supervision. Key skills: Python, LLMs, agent orchestration, tool calling and software development. 2. AI Agent Developer AI Agent Developers focus on implementing the functionality of individual AI agents. They determine which tools an agent can access, how it should respond to different situations and how it should execute specific tasks. Key skills: Python, APIs, prompt engineering and application development. 3. AI Engineer AI Engineers build the broader machine learning systems and infrastructure that support intelligent applications. For professionals entering the agentic AI ecosystem, this can provide a strong foundation before specialising in autonomous systems. Key skills: Machine learning, deep learning, model development and cloud technologies. 4. LLM Engineer Large language models often serve as the reasoning engine behind AI agents. LLM Engineers work on model development, fine-tuning, optimisation and deployment to improve the reliability and performance of AI applications. Key skills: Natural language processing, fine-tuning, prompt engineering and vector databases. 5. AI Solutions Architect AI Solutions Architects design the larger technical ecosystem in which AI agents operate. They determine how agents interact with enterprise applications, databases and other systems while considering scalability, security and reliability. Key skills: System architecture, cloud computing, APIs and enterprise integration. 6. AI Automation Engineer AI Automation Engineers identify repetitive business processes that could be handled by intelligent systems. They work with business teams to convert complex workflows into processes that AI agents can execute. Key skills: Workflow automation, process mapping, AI tools and business-process analysis. 7. Multi-Agent Systems Engineer Some complex tasks may require several specialised AI agents rather than one system handling everything. Multi-Agent Systems Engineers develop architectures in which multiple agents communicate, coordinate and divide responsibilities. Key skills: Multi-agent orchestration, distributed systems and agent communication. 8. AI Product Manager AI Product Managers determine what AI-powered products should accomplish and how they can address genuine customer or business needs. The role requires an understanding of both technology and business strategy, without necessarily requiring advanced programming skills. Key skills: Product strategy, AI literacy, business analysis and communication. 9. AI Evaluation Engineer As AI systems become more autonomous, measuring their performance becomes increasingly important. AI Evaluation Engineers develop benchmarks, tests and metrics to determine whether agents are accurate, reliable and capable of handling unexpected situations. Key skills: AI evaluation, testing, statistics and performance analysis. 10. AI Safety Engineer Giving AI systems the ability to act independently also creates new safety challenges. AI Safety Engineers develop guardrails, monitoring mechanisms and risk controls designed to keep autonomous systems within defined boundaries. Key skills: Risk assessment, safety frameworks, guardrail design and model monitoring. 11. AI Governance Specialist AI Governance Specialists help organisations establish rules and processes for responsible AI deployment. They may work with legal, compliance, cybersecurity and business teams to ensure AI systems are used according to organisational policies and applicable regulations. Key skills: AI policy, regulatory awareness, governance and risk management. 12. RAG Engineer Retrieval-Augmented Generation, or RAG, enables AI systems to retrieve relevant information from external knowledge sources before generating an answer or taking action. RAG Engineers build these information-retrieval systems so agents can work with current and organisation-specific data. Key skills: RAG pipelines, embeddings, vector databases and search technologies. 13. AI Integration Engineer An AI agent becomes significantly more useful when it can interact with existing business systems. AI Integration Engineers build connections between agents and databases, enterprise applications, communication platforms and other digital tools. Key skills: API integration, databases, systems engineering and software architecture. 14. AI Operations Engineer Building an AI agent is only the beginning. AI Operations Engineers are responsible for deploying, monitoring and maintaining AI systems once they enter production. Their work has similarities with DevOps and MLOps, but is tailored to AI-powered applications. Key skills: MLOps, cloud infrastructure, deployment and monitoring. 15. AI Consultant AI Consultants help organisations identify where autonomous AI could deliver practical value. They analyse business processes, identify potential use cases and help companies develop strategies for adopting AI without necessarily building the technology themselves. Key skills: Business strategy, AI literacy, problem-solving and communication. How Can You Prepare for an Agentic AI Career? Despite the variety of roles, several foundational skills are common across the field. Learning Python, machine learning fundamentals, APIs and large language models can provide a strong starting point. The next step is experimentation. Building simple AI agents that can use tools, retrieve information, remember context or complete multi-step tasks can provide practical experience that goes beyond theoretical knowledge. From there, career paths begin to diverge. Those interested in technical development can explore areas such as agent engineering, RAG, AI integration and MLOps. Professionals who prefer strategy and coordination may find opportunities in AI product management, consulting or governance. Communication and problem-solving will remain important regardless of the specialisation. As AI systems become more capable, organisations will need people who understand not only what the technology can do, but also where and how it should be used. The Changing AI Career Landscape Agentic AI is creating a broader ecosystem around artificial intelligence. The emerging roles span software development, infrastructure, product management, cybersecurity, governance, business strategy and operations. Not every title listed above will become a

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BRICS Summit 2026: India’s Governance Moment and the Search for a More Inclusive Global Order

/ Article/Stories

The 18th BRICS Summit in New Delhi has offered more than another chapter in the expanding story of emerging economies. It has also provided a window into a fundamental question confronting the international system: who gets to shape the rules of global governance, and how can those rules remain relevant in a world that is increasingly multipolar? Hosted by India on September 12-13 under the theme “Building for Resilience, Innovation, Cooperation and Sustainability”, the summit came at a time of geopolitical tensions, trade disruptions, conflicts and growing dissatisfaction with the ability of traditional multilateral institutions to respond effectively to contemporary challenges. India’s stated approach was to make BRICS more practical, responsive and people-centric, with equality, openness and consensus at the centre of its working style.  The resulting New Delhi Declaration reflects this ambition. But its larger significance lies not simply in the number of commitments made. The real test will be whether BRICS can convert political consensus among a highly diverse group of countries into institutional mechanisms and measurable outcomes. From representation to participation For years, developing countries have argued that the architecture of global governance does not adequately reflect the economic and demographic realities of the 21st century. Institutions such as the United Nations Security Council, International Monetary Fund and World Bank continue to operate within structures shaped largely by an earlier international order. At the summit, Prime Minister Narendra Modi called for reforms in global governance and argued that countries of the Global South should not merely follow international rules but have a greater role in shaping them. He described the desired transition as one from a “pyramid of privilege” to a “platform of partnership”. This distinction is important. Representation alone does not necessarily translate into influence. Effective global governance requires developing countries to have meaningful participation in agenda-setting, decision-making, financing and implementation. For BRICS, therefore, institutional reform cannot remain a diplomatic slogan. The group will increasingly be judged by whether it can develop credible alternatives, or complementary mechanisms, in areas such as development finance, digital governance, health, climate action and international trade. Governance through consensus — strength and constraint One of BRICS’ defining characteristics is its diversity. Its expanded membership brings together countries with different political systems, economic structures, strategic priorities and relationships with the major powers. That diversity can make consensus difficult. At the same time, it is precisely what gives BRICS its potential significance as a platform for the Global South. The New Delhi Summit demonstrated this balancing act. The bloc adopted a joint declaration despite significant geopolitical differences among its members. On the Middle East, for instance, members agreed on the need for restraint, dialogue and diplomacy despite the presence of countries with sharply different positions on the conflict.  This suggests that BRICS may be most effective when it focuses on areas where cooperation is possible rather than attempting to eliminate differences among members. For governance, this is a valuable lesson: consensus does not necessarily mean complete agreement. It can mean creating mechanisms through which countries with different interests can still negotiate common positions. The Global South needs institutions that deliver India’s emphasis on a more practical BRICS reflects a broader shift in expectations from multilateral organisations. Developing countries increasingly want international cooperation to translate into tangible outcomes — better access to finance, resilient supply chains, technology partnerships, food and energy security, skills development and greater capacity to respond to climate and health emergencies. This is where governance becomes more than diplomacy. The New Delhi Declaration’s broad agenda — covering areas including trade, health, technology, agriculture, sustainability and cooperation — indicates an attempt to build BRICS as a platform that can address issues affecting citizens and economies directly. The summit also produced initiatives related to climate-resilient agriculture and digital agriculture, while India proposed a Seafarers’ Emergency Support Network focused on maritime safety. Such initiatives matter because they connect international governance with everyday economic and social realities. Technology is creating a new governance frontier Artificial intelligence and digital transformation are rapidly becoming central to the governance agenda. For BRICS countries, the challenge is twofold. They must harness AI and digital technologies for public services, education, healthcare, agriculture and economic growth while simultaneously developing safeguards around privacy, security, transparency, misinformation and responsible use. This makes cooperation among emerging economies particularly important. Many BRICS countries face similar challenges in building digital public infrastructure and ensuring that technological progress does not widen existing inequalities. The governance debate around AI is therefore not simply about regulating technology. It is about deciding who benefits from it, who is accountable when systems fail and whether developing countries will participate in writing the rules that govern the next generation of technology. A more distributed model of global leadership The evolution of BRICS reflects a wider transformation in international politics. The group began primarily as an economic grouping but has gradually expanded into areas ranging from health and education to technology, climate and global governance. Its growing membership also gives it greater demographic and economic weight. Yet size alone cannot guarantee influence. BRICS will need institutional coherence, transparency and mechanisms for implementation if it wants to translate its collective weight into sustained global influence. This is where India’s 2026 presidency assumes particular importance. India has sought to position BRICS not as an anti-Western alliance but as an inclusive platform for cooperation among emerging economies. That positioning allows New Delhi to advocate reform of the existing international system without necessarily advocating its wholesale replacement. Such an approach is consistent with India’s broader foreign-policy emphasis on strategic autonomy and issue-based partnerships. The implementation gap The greatest challenge for BRICS, however, remains implementation. Declarations can establish political intent, but effective governance depends on institutions, financing, timelines, monitoring and accountability. The group must therefore move from announcing cooperation to measuring results. That means asking difficult but necessary questions: Which commitments have been implemented? Which institutions are responsible? How will progress be measured? What resources will be allocated? How will smaller and newer members participate in decision-making?

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Microsoft CEO Satya Nadella Raises Concerns Over Growing AI Power Concentration

/ Human Resource Community

Satya Nadella, Chief Executive Officer of Microsoft, has voiced serious concerns about the increasing concentration of power within the artificial intelligence sector, cautioning against a future where only a few major companies control the rapidly evolving technology. In a recent interview with The Wall Street Journal, Nadella shared his perspective on the future of AI, emphasizing the importance of affordability, accessibility, and giving users greater control over how the technology develops and is deployed. He warned against a scenario where a small group of companies dominates AI development while simultaneously claiming that white-collar jobs could disappear and using those fears to justify massive investments in infrastructure such as large-scale data centres. According to Nadella, society is unlikely to accept a future where the benefits, learning, and deployment of AI remain concentrated in the hands of a select few organizations. Instead, he stressed the need for the industry to build public trust and earn what he referred to as “social permission” to continue advancing the technology responsibly. His comments come amid growing global debate over the direction of the AI race. Although he did not directly mention competitors, Nadella criticized business models where only a handful of firms capture most of the economic value generated by AI while also raising concerns about safety risks, employment disruption, and the enormous computing resources required for development. A key strategic question for Microsoft is whether it should host models from DeepSeek, a Chinese AI company that has recently gained attention worldwide for offering highly cost-effective AI models. Such a decision could intensify competition in the AI market and challenge established industry leaders by driving down costs. Nadella also pushed back against the idea that AI should replace human jobs entirely. Instead, he argued that businesses should focus on redesigning and restructuring work roles so employees can adapt alongside technological progress rather than being displaced permanently. While acknowledging that AI-driven transformation will inevitably bring disruption, he said companies must actively create pathways that help workers adjust to these changes and remain relevant in the evolving workforce. Describing AI as a “knowledge engine,” Nadella said the future should involve organizations leveraging multiple AI models with varying capabilities and price points rather than depending on a single dominant provider. He further emphasized that rebuilding public confidence in AI will require more than promises or carefully crafted narratives. According to Nadella, the technology industry must demonstrate through concrete action that AI development can be both responsible and beneficial for society. The remarks come at a time when competition around AI is accelerating globally, with major technology firms investing billions of dollars into infrastructure, advanced computing systems, and data centres. Microsoft continues to remain one of the leading forces shaping the future of the AI ecosystem through its partnerships and investments across the sector. Source: IANS

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India Introduces AI Governance Guidelines to Ensure Safe and Responsible Adoption

/ Governance Community

The Indian government has unveiled its first set of Artificial Intelligence (AI) governance guidelines, outlining a framework for the safe, transparent, and ethical use of AI technologies. The non-binding rules, released on Wednesday, are expected to shape India’s long-term vision for AI regulation ahead of the IndiaAI Impact Summit scheduled for February next year. Developed under the Ministry of Electronics and Information Technology (MeitY), the guidelines recommend potential amendments to the Information Technology (IT) Act to better classify AI systems and define liability across the AI value chain. The document highlights that the current definition of “intermediary” under the IT Act — covering telecom operators, search engines, and even cyber cafés — is outdated in the context of autonomous AI systems capable of generating data independently. Principal Scientific Adviser Ajay Sood noted that the new framework aims to provide clarity on responsibilities of AI developers and deployers, while also ensuring accountability. He added that the framework could serve as a model for AI governance in the Global South, especially for countries with limited regulatory resources. The guidelines also propose an India-specific AI risk assessment framework based on real-world harm evidence, along with a national database of AI incidents to track misuse, bias, and potential threats. This centralised repository will collect data from smaller regional databases managed by sectoral regulators, helping policymakers better understand the societal and security implications of AI technologies. The framework further recommends establishing new institutions to oversee AI policy, including an AI Governance Group—a permanent inter-ministerial body responsible for coordination and policy development—and leveraging the newly formed AI Safety Institute as the lead authority for ensuring safe and trusted AI use in India. Other key proposals include adopting regulatory sandboxes to allow innovation in controlled environments with limited legal exposure, and mandating accessible grievance redressal mechanisms through the existing Grievance Appellate Committee process. The guidelines also stress the need to update copyright laws to support large-scale AI model training and clarify digital platform classifications. MeitY Secretary S. Krishnan said the government is committed to acting when necessary to ensure AI is developed responsibly and ethically. The document, shaped after studying AI policies in the US, European Union, and China, and informed by over 2,500 submissions from stakeholders including academia, industry, and government bodies, marks a significant step in India’s effort to build a robust governance ecosystem for emerging technologies. Source: Economic Times

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Majority of Indian Firms Lack AI Governance Amid Soaring Data Breach Costs: IBM Report

/ Governance Community

A new IBM study has revealed that a significant portion of Indian companies remain unprepared to tackle the cybersecurity challenges posed by rapid AI adoption. According to the Cost of a Data Breach Report 2025, nearly 60% of Indian organizations either do not have an AI governance policy in place or are still developing one, highlighting a concerning disconnect between the use of artificial intelligence and the implementation of necessary safeguards. The report underscores a growing vulnerability, as India records its highest-ever average cost of a data breach — ₹220 million in 2025, reflecting a 13% spike from ₹195 million the previous year. The increase is attributed largely to companies deploying AI tools without adequate risk management frameworks or access controls. IBM’s global analysis suggests this is not an isolated trend. While businesses worldwide are embracing AI technologies, security infrastructure is struggling to keep pace, creating fertile ground for cyberattacks on unmanaged AI systems. In India, the statistics are alarming: Only 37% of organizations have instituted AI-specific access controls. A mere 42% have mechanisms in place to detect or manage “shadow AI” — unauthorized AI tools used without IT oversight. Shadow AI has now emerged as one of the top three contributors to breach-related costs, adding an average of ₹17.9 million to each incident. However, a majority of organizations have yet to implement tools or protocols to monitor these hidden threats. When it comes to breach causes, phishing remains the leading culprit, responsible for 18% of incidents, followed by third-party and supply chain vulnerabilities (17%) and exploitation of known system flaws (13%). The research sector topped the chart with the highest average breach cost at ₹289 million, closely followed by transportation (₹288 million) and industrial sectors (₹264 million). Despite the clear advantages of using AI-powered cybersecurity solutions — which the report notes can cut breach-related costs by more than 50% — a staggering 73% of Indian organizations report minimal or no deployment of AI-driven security automation. The findings stress an urgent need for enterprises to not only accelerate their adoption of AI governance frameworks but also invest in AI-based defense mechanisms to reduce vulnerability and financial exposure in an increasingly digital world. Source: IBM

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PM Modi Calls for Ethical AI and Stronger Global South Cooperation at BRICS Outreach Summit

/ Governance Community

At the BRICS Outreach Summit held in Brazil, Prime Minister Narendra Modi emphasized the need for responsible use of Artificial Intelligence, stronger South-South cooperation, and reforms in global financial governance. Addressing leaders from Latin America, Africa, and Asia, Modi reaffirmed India’s commitment to multilateralism and inclusive global development. Speaking at the session titled ‘Strengthening Multilateralism, Economic-Financial Matters, and Artificial Intelligence’, Modi thanked Brazilian President Luiz Inácio Lula da Silva for the opportunity to engage with fellow nations from the extended BRICS family. “It is a pleasure to share India’s perspectives with our friends from Latin America, Africa, and Asia. I thank President Lula for this invitation,” he said. Highlighting the rising influence of BRICS amid global uncertainty, the Prime Minister noted that the group’s diversity and shared vision of a multipolar world are key strengths. “As the world faces numerous crises, BRICS must step up and serve as a pillar of stability and cooperation,” he stated. Modi outlined four key areas to advance BRICS collaboration: Economic Integration and Financial Reforms He acknowledged the contributions of the BRICS Business Council and Women Business Alliance in strengthening economic ties. Modi also supported Brazil’s push for reforming global financial institutions. He emphasized that the BRICS New Development Bank should focus on long-term, sustainable, and demand-driven projects, particularly to benefit countries in the Global South.  Empowering the Global South Modi stressed that BRICS must respond to the unique needs of developing nations. He spotlighted India’s BRICS Agricultural Research Platform as a tool to foster innovation in agri-tech, climate adaptation, and precision farming. Additionally, he proposed two new initiatives — One Nation, One Subscription to improve access to academic resources and a BRICS Science and Research Repository for collective knowledge sharing.  Securing Global Supply Chains Calling for cooperative efforts to ensure fair access to critical minerals and technologies, the Prime Minister warned against the strategic misuse of such resources. He urged BRICS to develop resilient and transparent supply chains that serve collective interests.  Responsible Use of Artificial Intelligence Modi highlighted the dual nature of AI — its potential to transform lives and the ethical concerns it raises. He reiterated India’s ‘AI for All’ approach, showcasing AI’s growing role in Indian agriculture, healthcare, education, and governance. Emphasizing the importance of international standards, he called for frameworks to ensure transparency, accountability, and authenticity in AI-generated content.  He welcomed the release of the BRICS Leaders’ Statement on AI Governance as a step in the right direction and announced that India will host the AI Impact Summit next year, inviting global participation. Reaffirming India’s leadership in promoting South-South solidarity, PM Modi concluded, “The Global South looks to us with hope. By setting an example, India remains dedicated to working hand-in-hand with partner nations to achieve shared development goals.” Source: DD News

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PM Modi Advocates for Global AI Governance at Paris Summit

/ Governance Community

Paris, February 12: Prime Minister Narendra Modi called for collective global efforts to establish a governance framework for artificial intelligence (AI) during the Paris AI Action Summit, which he co-chaired with French President Emmanuel Macron. Modi emphasized that AI should be developed for good and for all, highlighting India’s expertise and commitment to responsible AI innovation. India, he said, is building its own large language model to reflect its linguistic and cultural diversity. He also underscored India’s public-private partnership model that makes AI resources accessible to startups and researchers at affordable costs. Addressing concerns about AI surpassing human intelligence, Modi stressed that governance must balance risk management with fostering innovation, particularly in the Global South, where access to AI infrastructure, talent, and data remains limited. He reiterated India’s role in shaping global AI governance, citing its G20 presidency consensus on responsible AI use. The Prime Minister highlighted AI’s transformative potential in healthcare, education, and agriculture while calling for open-source systems, bias-free datasets, cybersecurity measures, and solutions against deep fakes. He also pointed to India’s low-cost digital public infrastructure serving 1.4 billion people as a model for inclusive AI adoption. Modi reaffirmed India’s readiness to share its expertise and experience to ensure AI benefits humanity while maintaining transparency, trust, and security.

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IIT Madras and Vidhi Centre Recommend Participatory AI Governance Model for Inclusive Development

/ Governance Community

A recent study by IIT Madras, in collaboration with the Vidhi Centre for Legal Policy, advocates a participatory governance model for Artificial Intelligence (AI) in India, aiming to set a global standard for inclusive AI development. The report emphasizes that involving diverse stakeholders in AI’s lifecycle enhances accountability, transparency, and fairness in AI systems. The research, spearheaded by IIT Madras’ Centre for Responsible AI (CeRAI) at the Wadhwani School of Data Science and Artificial Intelligence (WSAI), brings together technologists, legal experts, and policy researchers to explore the benefits of a participatory approach. Real-world case studies across sectors reveal how public involvement can yield AI systems that are better aligned with societal values and ethical standards. “The widespread adoption of AI has fundamentally reshaped our public and private sectors,” explained Prof. B. Ravindran, Head of CeRAI, IIT Madras. He highlighted a key finding: those impacted by AI systems often lack a voice in their development. “This study aims to close that gap by recommending participatory approaches that prioritize responsible, human-centric AI development,” he added. The report also provides a practical, sector-agnostic framework for identifying and integrating diverse perspectives throughout the AI development process. Shehnaz Ahmed, Lead for Law and Technology at the Vidhi Centre, noted that while the value of inclusivity in AI is recognized, frameworks for its implementation remain unclear. “Our findings demonstrate how a structured, participatory model can guide ethical development, especially in sensitive applications like facial recognition and healthcare,” she explained. This groundbreaking study suggests that a participatory model not only strengthens public trust but also accelerates AI’s acceptance across sectors by fostering transparency and accountability. With global relevance, the framework aims to support ethical, safe, and equitable AI practices worldwide. Source: Shiksha.com Photo Credit: Shiksha.com

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UN Unveils Key Recommendations for Global AI Governance

/ Governance Community

The United Nations (UN) has released a landmark report proposing a global framework to address the risks and governance gaps associated with artificial intelligence (AI). Titled “Governing AI for Humanity,” the report outlines seven key recommendations to ensure that AI development aligns with human rights, ethical principles, and sustainable development goals. The report, prepared by a 39-member UN advisory body established last year, highlights the need for a multi-stakeholder approach, urging governments, private companies, civil society, and international organizations to collaborate on AI governance. These recommendations will be discussed at an upcoming UN summit later this month. In a video statement accompanying the report’s release, UN Secretary-General Antonio Guterres emphasized the importance of the document, calling it a “key milestone” in the UN’s ongoing efforts to ensure that AI serves the common good and benefits all of humanity. Among the proposals, the report calls for the creation of a global AI governance system that is inclusive, transparent, and accountable. It advocates for an international AI standards exchange and a global AI capacity development network to strengthen governance capabilities. The report also stresses the need to address AI-related risks such as bias, privacy violations, and job displacement. One notable recommendation is the establishment of a global AI fund to close gaps in governance capacity and collaboration. Additionally, the UN proposes forming a global AI data framework to enhance transparency and accountability in AI systems. The report also warns of the concentration of AI development in a few multinational companies, which could lead to the technology being imposed on populations without proper input or oversight. To support these governance efforts, the UN proposes the creation of a small AI office to coordinate and implement these recommendations. As AI continues to rapidly evolve, the UN’s report aims to ensure that it remains a force for good, aligning with global standards and benefiting all sectors of society. Source: CGTN

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