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# Senior AI Architect - Agentic Systems & SDLC Automation

- **Company:** Flextrack LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Systems Development Life Cycle, Software Engineering, Systems Integration, Multi-Agent Systems, Performance Monitor, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://portal.procomservices.com/jobs?jobId=b554a7d5-435d-4078-bb92-302f6a5f91f7

## About the Role

* Strong engineering background with experience in automation, platform systems, or AI-enabled workflows
 * Hands-on experience building AI agents, multi-step workflows, or orchestration-based systems
 * Deep understanding of the software development lifecycle, including CI/CD, testing, and release processes
 * Experience integrating systems through APIs, event-driven workflows, or data pipelines
 * Experience applying AI to real-world operational or engineering problems (beyond standalone features)
 * Ability to work comfortably in ambiguous problem spaces and take ownership from concept * implementation * iteration
 * Strong communication skills, with the ability to translate between technical systems and business needs

## Description

We're hiring a Senior AI Architect to help redesign how software is built, tested, and delivered using agentic AI systems.

This is a hands-on, builder role focused on embedding AI directly into the software development lifecycle (SDLC) - from requirements and ticket generation through development, testing, and deployment.

We're particularly interested in individuals who have experience applying AI to real-world workflows and systems, and who are excited about shaping how AI can drive meaningful automation across engineering and operational processes.

Day to day you will

 * Design, build, and evolve AI-powered agents, workflows, and orchestration systems across internal platforms
 * Embed AI across the full software development lifecycle - from requirements capture and ticket generation through development, testing, deployment, and monitoring
 * Build agent-driven automation loops that reduce manual work across setup, validation, QA, and release processes
 * Identify and prioritize high-impact automation opportunities in partnership with Engineering and Implementation teams
 * Integrate AI into CI/CD pipelines, testing frameworks, and production systems to improve speed, quality, and reliability
 * Define and implement evaluation, validation, and feedback loops to ensure safe and effective AI output
 * Monitor performance, reliability, and adoption of AI systems in production and iterate based on real-world usage
 * Partner closely with engineering, product, and operations stakeholders to deliver measurable improvements in workflow efficiency and delivery timelines


## Related Videos

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- [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac)
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- [The Overflow: AI and Agentic Coding](https://www.wearedevelopers.com/magazine/721-the-overflow-ai-and-agentic-coding)