Data and AI Associate Manager

**Role Overview:**

We are seeking an experienced and forward-thinking Principal AI Program Manager to lead the design, development, and deployment of cutting-edge AI solutions for our clients. In this senior consulting role, you will combine deep technical expertise with client-facing leadership, driving innovation through GenAI while maintaining a strong foundation across broader AI/ML and full-stack engineering. You will architect scalable, secure, production-grade AI systems, support pre-sales engagements, and play a pivotal role in shaping our growing AI engineering practice.

This is a strategic role for someone who thrives at the intersection of technology, delivery, and client advisory—and who is excited to build the next generation of intelligent applications using GenAI and beyond.

**Key Responsibilities:**

**Client Delivery – Generative AI & Full-Stack AI Solutions**

• Lead the delivery of advanced AI applications, with a strong focus on Generative AI (LLMs, embeddings, RAG, prompt engineering, agents, etc.).
• Architect and implement scalable GenAI systems—combining LLM orchestration, model integration, data pipelines, and secure APIs.
• Work across the full stack, developing intuitive front-end experiences and robust back-end services to support AI capabilities.
• Collaborate with client data scientists, product managers, and engineering teams to align solutions with business outcomes.
• Ensure production-readiness, including performance optimization, observability, security, and maintainability of AI applications.

**Key Skills & Experience:**

• 10+ years in software engineering, with extensive experience in AI/ML application development and recent hands-on delivery of GenAI-based solutions.
• Deep knowledge of Generative AI technologies—LLMs, vector databases, RAG pipelines, prompt design, fine-tuning, orchestration tools (e.g., LangChain, Haystack, Flowise), and cloud GenAI services (e.g., AWS Bedrock, Azure OpenAI, Vertex AI).
• Full-stack proficiency including front-end frameworks (React, Angular) and back-end (Node.js, Django, Flask) development.
• Strong cloud architecture skills (AWS, GCP, Azure), including MLOps/DevOps experience for deploying and scaling AI solutions in production.
• Proven ability to work with both technical and non-technical stakeholders, translating business requirements into AI solution architecture.
• Domain experience in Insurance is highly desirable
• Experience in consulting or professional services, with strong pre-sales, proposal writing, and client advisory skills.
• Demonstrated leadership in building teams, scaling delivery, and contributing to IP/assets that grow a consulting practice.