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# SR AI Solution Architect

- **Company:** Modis
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $114,400 - $124,800
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Cloud Engineering, Data Security, Python (Programming Language), PostgreSQL, Software Engineering, Enterprise Software Applications, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, AgentCore, Agentic-AI, Fastapi, Build Management, Pgvector, Kubernetes, Information Technology, Docker
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/d7365bbb-cc04-4a06-b1ba-670e98e1a49e

## About the Role

* Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, or a related technical field.
 * 8-10+ years of experience in software engineering, cloud architecture, and enterprise application development.
 * Strong hands-on experience with AWS AgentCore, AWS Bedrock, Context Engineering, and Harness Engineering in production environments.
 * Proven expertise in Python, FastAPI, multi-agent orchestration frameworks (LangGraph/Strands), and enterprise AI solution delivery.

## Description

Modis is seeking an SR AI Solution Architect for a Contract with a client in Tampa, FL. The ideal candidate willdesign and develop intelligent AI agents that automate complex workflows, integrate enterprise systems, and deliver secure, scalable solutions on AWS., * Design and develop intelligent AI agents capable of reasoning, planning, and automating complex business workflows.

 * Build and deploy scalable agentic AI solutions using AWS AgentCore, AWS Bedrock, and cloud-native AWS services.
 * Develop enterprise knowledge retrieval and RAG pipelines using PostgreSQL, pgvector, and secure data governance practices.
 * Implement multi-agent orchestration, context management, and agent execution frameworks to ensure reliable performance.
 * Deploy and manage containerized applications on Amazon EKS using Docker, Kubernetes, and Helm.
 * Establish testing, monitoring, security, and observability standards to ensure reliable and production-ready AI systems., The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
 * The California Fair Chance Act
 * Los Angeles City Fair Chance Ordinance
 * Los Angeles County Fair Chance Ordinance for Employers
 * San Francisco Fair Chance Ordinance