AI/ML Solution Architect – Generative AI & Agentic AI

AI/ML Solution Architect – Generative AI & Agentic AI - Fulltime

Domain: Healthcare & Life Sciences | Generative AI | Agentic AI | Machine Learning
Experience: 10–15 years with strong AI/ML Architecture and AWS experience

Role Overview
We are looking for a hands-on AI/ML Solution Architect to design and deliver enterprise-grade Generative AI and Agentic AI solutions on AWS. The role will translate complex business requirements into scalable architectures, technical designs, and production-ready solutions.

Key Responsibilities

• Lead AI/ML discovery, solutioning, architecture, and technical design.
• Design GenAI, RAG, Agentic AI, and ML solutions using AWS services.
• Develop HLDs, LLDs, technical design documents, and reference architectures.
• Hands-on development and prototyping using Python.
• Work with Amazon Bedrock, SageMaker, Step Functions, Lambda, S3, OpenSearch and related AWS services.
• Experience with agent frameworks such as AWS Strands, LangGraph, LangChain, CrewAI, or equivalent.
• Define security, governance, observability, scalability, and cost optimization strategies.
• Lead architecture reviews and collaborate with engineering, business, security, and technical stakeholders.
• Ensure solutions are production-ready and aligned with HCLS requirements.

Preferred Skills

• Strong Python, ML, GenAI/LLM, RAG, and Agentic AI expertise.
• Strong AWS architecture and implementation experience.
• Experience with enterprise AI solutions in Healthcare & Life Sciences.
• Hands-on experience with Halo and SkyBridge is preferred.
• Excellent communication and technical leadership skills.