This role involves building 𝗺𝗼𝗱𝘂𝗹𝗮𝗿 𝗟𝗟𝗠-𝗱𝗿𝗶𝘃𝗲𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀, enabling 𝗺𝘂𝗹𝘁𝗶-𝘀𝘁𝗲𝗽 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴, 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗮𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚), and 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗮𝗴𝗲𝗻𝘁 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 — all while ensuring scalability, security, and compliance.

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:

𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗔𝗴𝗲𝗻𝘁𝗶𝗰𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: Design modular systems that integrate LLMs and support multi-step reasoning, retrieval-augmented generation, and tool use.

𝗔𝗜 𝗠𝗼𝗱𝗲𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Select and embed suitable models (e.g., GPT-5, custom LLMs) into scalable platforms.

𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Build agents capable of research, summarization, and action execution.

𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Use Docker/ Kubernetes for containerization and ensure robust monitoring and security.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝗜 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: Implement guardrails like content filters, logging, and data protection compliance.

𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Translate business needs into technical AI solutions and advise on use cases.

𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Analyze agent errors, refine prompts, and improve model performance.

𝗦𝗸𝗶𝗹𝗹𝘀 & 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:

Strong background in cloud platforms (Azure / AWS)

Experience with CICD, infrastructure-as-code (IAC), and automation frameworks

Expertise in data pipeline design and federated data marts

Knowledge of responsible AI practices and compliance frameworks

Hands-on experience in AI agent orchestration and monitoring