Principal AI

Principal AI-Dallas, Texas

Must have GCP experience

Interview process: 2 interview 1 with hiring manager and team and one with leadership

Contract to hire

The manager has 3 teams currently , 1 is a backend development (Java) , React and now this one that is AI

They will be responsible for helping to provide the tool sets to help engineers build the agents behind the scenes

Extensive background in software engineering development then moved in AI

The principal role ideally must have GCP and familiarity with Java Springboot . The senior and junior is not needed

Must haves :
Claude code, agentic Ai, Gemini , GCP (principal) AWS is ok for other 2 , Google ADK, Langchain and Spring Ai, MCP Servers are must as well.

Running and operating Claude code is a must , building agents themselves is a must

We are looking for a talented Principal AI Engineer to join our Engineering Frameworks Team. In this role, you will be instrumental in leading a team in the design, architecture, development, integration, operationalization, and support of AI tools and platforms utilized by developers across the company to build solutions for their lines of business. This is a hands‑on engineering role centered on GCP, Gemini and Vertex AI (or comprable services), Claude Code, Copilot, MCP Servers, Java Spring Boot, and React.js.

The ideal candidate will have direct, demonstrable experience building and integrating with these specific tools and services, not just general AI familiarity, and a passion for developing, maintaining, and advocating tools that accelerate software development, enhancing productivity and innovation across the organization.

• Serve as a technical expert and development leader for enterprise AI platforms, agent frameworks, and developer productivity capabilities.
• Drive strategic initiatives involving GCP, Gemini, Vertex AI, Claude Code, Git Hub Copilot, MCP servers, A2A integrations, and agentic frameworks.
• Design the architecture and implementation of reusable AI platform services, orchestration patterns, reference implementations, and shared integration components.
• Integrate and operationalize AI services with cloud, security, and enterprise technology platforms.
• Establish secure, scalable, observable, performant, and maintainable patterns for custom agents and AI tool integrations.
• Provide technical leadership, support, training, and guidance to engineering teams building, deploying, and operating custom agents.
• Define framework lifecycle practices for versioning, release management, documentation, adoption, support, and continuous improvement.
• Establish and promote responsible AI, privacy, access control, governance, cost management, and model-risk practices.
• Lead the implementation of observability capabilities for logging, metrics, token utilization, tracing, and operational health on GCP-hosted services.
• Partner with product management, security, architecture, and lines of business to shape the AI platform roadmap and align delivery with enterprise needs.
• Mentor junior engineers, identify training needs, and lead the team through the end-to-end product development and delivery lifecycle.

Bachelor's degree or equivalent work experience in computer science, engineering, artificial intelligence, or a related field

• 7-10 years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline
• Proven experience designing and delivering production-quality AI, LLM, or developer-platform capabilities
• Demonstrable hands-on experience with cloud-based AI services such as GCP Gemini and Vertex AI or comparable model platforms
• Extensive knowledge of AI agent architecture, reusable orchestration patterns, shared…