GenAI & Agentic AI Solutions Architect — AWS Expert

Apexon; Indianapolis (IN); On-site; USD 140,000 - 190,000; Full time

Job summary

Apexon is seeking an AI/ML Solution Architect to design and deliver enterprise-grade Generative AI and Agentic AI on AWS. Translate complex business requirements into scalable architectures, designs, and production-ready implementations.

You'll lead discovery, architecture reviews, and hands-on prototyping in Python, collaborating with stakeholders across security, engineering, and BI to ensure compliant, scalable outcomes.

Qualifications

• 10-15 years of AI/ML architecture and AWS experience.
• Hands-on development with Python and GenAI/LLM implementations.
• Experience with agent frameworks and enterprise AI in Healthcare & Life Sciences.
• Ability to design high-level and low-level architectures and production-ready solutions.

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 AWS Bedrock, SageMaker, Step Functions, Lambda, S3, OpenSearch and related services.
• Define security, governance, observability, scalability, and cost optimization strategies.
• Lead architecture reviews and collaborate with engineering, business, security, and stakeholders.
• Ensure solutions are production-ready and aligned with regulatory requirements.

Skills

Python/Machine Learning

AWS Architecture

Healthcare AI Experience

Halo/SkyBridge

Communication & Leadership

Education

Bachelor's degree

Tools

SageMaker

Bedrock

LangGraph

LangChain

CrewAI

Job description

Apexon is seeking an AI/ML Solution Architect to design and deliver enterprise-grade Generative AI and Agentic AI on AWS. Translate complex business requirements into scalable architectures, designs, and production-ready implementations.

You'll lead discovery, architecture reviews, and hands-on prototyping in Python, collaborating with stakeholders across security, engineering, and BI to ensure compliant, scalable outcomes.