AI Architect JD: Role Description : We are seeking a highly skilled and passionate Consulting Architect / Lead to define and deliver the end-to-end vision, architecture, and successful production deployment of complex, autonomous AI systems (Agentic AI). This role requires a blend of strategic thinking and hands-on technical expertise to design scalable, secure, and high-performing AI/ML solutions on leading cloud platforms.

- Strong client-facing skills with ability to translate complex AI concepts into clear, compelling business solutions

- Track record of delivering rapid POCs and transitioning them into production-ready solutions.

- Deep knowledge of modern AI ecosystems: LLM and Agentic frameworks, model fine-tuning, Context engineering, vector databases, cloud AI services (AWS, Azure, GCP).

- Should have an understanding of prompt/context engineering, LLM fine-tuning, and vector stores (e.g. Pinecone, FAISS, Weaviate).

- Serve as the authority on product rationalization, critical architectural choices, trade-offs, and technology stack selection.

- Work closely with Product Owners to define requirements, Data Scientists, Business Stakeholders acting as the primary technical interface.

- Lead the design and development of agentic systems. This involves selecting the right frameworks (like CrewAI, LangGraph, etc or proprietary solutions) and architectural patterns.

- Engineer dynamic context using memory modules, prompt templates,



and retrieval strategies.

- Define and enforce guardrails and context governance across agent interactions and LLM outputs. Prioritize security by implementing secure architecture patterns

- Design and automate Continuous Integration and Continuous Delivery (CI/CD) pipelines, leveraging tools like Azure DevOps, GitHub Actions, or similar systems Minimum Qualifications:

- Bachelor's degree in computer science, Engineering, Statistics, Mathematics, Information Systems, or a related quantitative field (or equivalent experience) from reputed institutions

- 10+ years of experience in business consulting/Product management/data analysis roles with a focus on enterprise-scale data systems and tooling

- Proficiency in GenAI stack and scripting language such as Python. Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, or equivalent, including designing multi-agent workflows and tool-augmented reasoning systems.

- Demonstrated experience supporting AI/ML projects with relevant data analysis and business understanding

- Valuable to have experience in working with large datasets, distributed data systems (e.g., Hive, Spark), and data visualization platforms (e.g., Tableau, PowerBI) Soft Skills:

- Excellent communication and stakeholder management skills.

- Ability to lead technical discussions and influence decision-making.

📌 Ai Architect (Chennai)
🏢 Cognizant
📍 Chennai