AI/ML Solution Architect
Generative Ai
United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Amazon S3
Python (Programming Language)
Machine Learning
Large Language Models
Multi-Agent Systems
Virtual Agents
Job description
- 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.
Requirements
Experience: 10-15 years with strong AI/ML Architecture and AWS experience, * 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.
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