Strategic Activities - Define enterprise architecture for agentic AI platforms, including multi-agent systems, orchestration frameworks, and LLM-driven applications.
- Design secure Function Calling interfaces and Tool Definition schemas to enable agents to interact with legacy systems, SQL databases, and enterprise CRMs.
- Architect Human-in-the-loop checkpoints and state-management protocols to ensure autonomous actions remain within defined operational guardrails.
- Drive adoption of Generative AI and autonomous agent systems across digital and operational platforms.
- Establish architecture standards for LLM pipelines, prompt engineering, evaluation frameworks, vector search, and Retrieval Augmented Generation (RAG).
- Design scalable AI inference architectures and microservices optimized for latency, cost efficiency, and reliability.
- Define governance frameworks ensuring responsible AI usage, security, explainability, and regulatory compliance.
- Contribute to the AI technology roadmap, including evaluation of new AI platforms, frameworks, and vendor solutions.
- Monitor emerging AI technologies and evaluate their potential impact and opportunities for the organization.
- Balance rapid innovation and experimentation with enterprise-grade reliability and operational stability.
Solution Architecture & Technical Leadership - Architect end-to-end agentic AI systems including LLM orchestration layers, agent coordination mechanisms, and intelligent workflow automation.
- Design architectures integrating LLM inference services, vector databases, APIs, and enterprise data platforms.
- Define architectural patterns for multi-agent coordination, memory management, tool usage, and reasoning workflows.
- Develop reusable architectural frameworks and design patterns to accelerate AI solution development.
- Evaluate architecture alternatives and define trade-offs between performance, cost, scalability, and security.
- Provide technical guidance to engineering teams implementing AI-driven solutions.
- Ensure architectural alignment with enterprise architecture standards and cloud strategy.
Research & Emerging Technology Monitoring - Track advancements in LLMs, agent frameworks, orchestration tools, reasoning engines, and AI infrastructure.
- Conduct research and experimentation to evaluate emerging AI technologies and frameworks.
- Develop prototypes and proof-of-concepts to validate architectural approaches.
- Document research findings and architectural guidance for internal knowledge sharing.
- Participate in AI technology communities and industry forums to remain current with evolving AI trends.
Systems & Software Design - Design software components supporting agent orchestration, AI services, and inference pipelines.
- Produce architecture documentation covering system components, interfaces, and integration patterns.
- Develop multiple architectural views addressing both functional and non-functional requirements.
- Lead architecture and design reviews to ensure adherence to enterprise standards.
AI Platform Engineering & Integration - Define and implement LLMOps / MLOps practices supporting model evaluation, monitoring, experimentation, and deployment.
- Establish observability frameworks for monitoring model performance, latency, reliability, and cost efficiency.
- Integrate AI services with enterprise applications through APIs, microservices, and data pipelines.
- Ensure production readiness of AI platforms through testing, monitoring, and performance optimization.
Team Leadership & Collaboration - Provide architectural leadership to AI engineers, LLM engineers, and data engineers.
- Mentor engineering teams on AI architecture patterns, best practices, and design principles.
- Collaborate with product and business teams to translate requirements into scalable AI solutions.
- Support capability building and knowledge sharing across AI and engineering teams.
- Participate in recruitment and development of AI engineering talent.
Any other additional responsibility could be assigned to the role holder from time to time as a standalone project or regular work. The same would be suitably represented in the Primary responsibilities and agreed between the incumbent, reporting officer and HR. |