Generative AI / Agentic AI Architect

AIT Global, Inc.

United States

3 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Code Review Continuous Integration Memory Management Amazon DynamoDB Identity and Access Management Python (Programming Language) Software Engineering TypeScript Workflow Management Systems

+15 more

ReactJS Large Language Models Multi-Agent Systems Prompt Engineering State Machines Generative AI Fastapi AI Platforms Kubernetes Virtual Agents Cloudwatch Api Gateway Restful APIs Docker Microservices

Job description

We are seeking an experienced Generative AI / Agentic AI Architect to lead the design, development, and delivery of a next-generation enterprise AI platform. The ideal candidate is a hands-on architect with deep expertise in Agentic AI, Large Language Models (LLMs), AWS cloud technologies, and modern AI orchestration frameworks. This role requires strong technical leadership to architect scalable AI solutions while mentoring and leading a team of developers., * Architect and build an enterprise-grade Generative AI and Agentic AI platform from the ground up.

Lead the design and development of AI agents and multi-agent systems using modern Agentic AI frameworks.
Define platform architecture, reusable components, security, governance, observability, and deployment standards.
Lead and mentor a team of AI engineers and developers through architecture, design, code reviews, and delivery.
Collaborate with business and technical stakeholders to translate requirements into scalable AI solutions.
Evaluate and integrate emerging AI technologies and frameworks.

Requirements

15+ years of software engineering experience with 3+ years in Generative AI/Agentic AI.
Hands-on experience designing and developing Agentic AI solutions using:
LangGraph/LangChain
Strands Agents
Model Context Protocol (MCP)
Agent-to-Agent (A2A)
Loop Engineering
AI workflow orchestration and multi-agent architectures
Strong experience building LLM applications, including Prompt Engineering, RAG, Function Calling, Tool Calling, Memory Management, and AI Guardrails.
Hands-on AWS experience, including Amazon Bedrock, EKS/ECS, Lambda, API Gateway, Step Functions, S3, DynamoDB/Aurora, IAM, and CloudWatch.
Strong Python development skills; experience with FastAPI and REST APIs. React/TypeScript knowledge is a plus.
Experience with vector databases, microservices, Docker, Kubernetes, and CI/CD.
Good understanding of Generative UI (GenUI) concepts and AI-driven user experiences., * Experience building enterprise AI platforms from concept to production.
Healthcare experience specially handling payer data is preferred.
Knowledge of Responsible AI, AI governance, security, and observability.
AWS Solution Architect or AI/ML certifications preferred.
Excellent communication, stakeholder management, and technical leadership skills.