Senior Thought Leader Agentic AI Systems

Job Title : Senior Thought Leader Agentic AI Systems

Location: Remote

Duration: Long term

Job Type : Full time

Responsibilities:

We are seeking an exceptional Senior Thought Leader with deep expertise in agentic AI systems including design patterns, autonomous architectures, agent orchestration, integration protocols (e.g., Model Context Protocol (MCP), Agent-to-Agent Communication Frameworks), and multi-agent coordination.

Key Responsibilities:

• Research Leadership:
• Drive cutting-edge research initiatives on agentic AI design patterns, system orchestration, and real-world deployment challenges.
• Identify, analyze, and synthesize emerging trends, technologies, and academic breakthroughs related to agentic systems.
• Publish high impact thought leadership (whitepapers, blogs, conference papers) articulating clear points of view on agentic AI evolution.
• Architectural Innovation:
• Develop and document detailed design frameworks for building advanced agentic systems, including agent creation, autonomy management, memory architectures, and self-improving agents.
• Define and standardize integration strategies, including protocols such as Model Context Protocol (MCP), model routing, agent collaboration layers, and decentralized agent-to-agent interactions.
• Lead the development of reusable architectural blueprints and reference implementations.
• Strategic Influence:
• Represent the organization externally at conferences, working groups, client briefings, and industry forums on agentic AI topics.
• Advise internal leadership teams on strategic investments, product evolution, and capability development in agentic AI.
• Collaboration and Mentorship:
• Collaborate cross-functionally with engineering, research, product management, and client teams to align agentic system initiatives with broader AI strategies.
• Mentor and guide teams in adopting agent-first approaches and understanding nuances between agentic, orchestration, and LLM application designs.
• Point of View Development:
• Create differentiated narratives and frameworks on agentic AI maturity models, operationalization paths, and value realization approaches.
• Proactively challenge conventional wisdom in AI design to champion agent-based thinking where applicable.

Ideal Candidate Profile:

• Experience:
• 10+ years in AI/ML, including at least 3+ years directly working with agent-based systems, agent orchestration frameworks, or autonomous multi-agent platforms.
• Strong track record of thought leadership: published papers, patents, keynote presentations, or recognized contributions to agentic AI communities.
• Technical Expertise:
• Deep understanding of advanced agent architectures (e.g., ReAct, AutoGPT variants, BabyAGI derivatives, recursive agents, decentralized memory agents).
• Familiarity with integration models like Model Context Protocol, agent-to-agent API designs, knowledge graphs for agent memory, and dynamic role allocation among agents.
• Working knowledge of relevant programming frameworks (Python preferred), LLM integration libraries, and orchestration platforms.
• Bonus: Familiarity with open-source agentic systems such as LangChain, CrewAI, AutoGen, or proprietary equivalents.
• Research Mindset:
• Ability to systematically explore unknowns, define experimental methods, derive insights, and communicate them persuasively.
• Strong critical thinking and ability to balance visionary thinking with practical design realities.
• Communication & Influence:
• Exceptional written and verbal communication skills, especially the ability to translate complex technical concepts into accessible insights for executive and business audiences.
• Proven ability to work with and influence diverse stakeholders from senior executives to technical practitioners.

Preferred Qualifications:

• Master's or Ph.D. in Computer Science, AI/ML, Computational Systems, or a related field.
• Prior experience contributing to or building multi-agent system platforms, agentic SDKs, or dynamic planning/execution engines.