AI/ML Solution Architect

Generative Ai
United States
1 day ago

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

3:21 min

Navigating the ethical integration of virtual colleagues

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

3:44 min

Automating storage savings with S3 intelligent tiering

Sébastien Stormacq · WWC 2021

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch · WWC Europe 2026

Videos

See all

Related articles

See all