Principal AI Engineer

Salary: $90.00 USD Hourly – $100.00 USD Hourly

Location: Open Across Footprints (4 Days Onsite, 1 Day Remote)

Duration: November 2, 2026 – February 9, 2027

Employment Type: Contract-to-Hire About the Role We are seeking an experiencedAI Architect / Principal AI Engineerto join our Engineering Frameworks Team. This is a strategic, hands-on leadership role focused on designing and building enterprise-scale AI platforms, developer tools, and agentic AI solutions that enable engineering teams across the organization to innovate faster. You will lead the architecture, development, integration, and operationalization of AI-powered platforms leveraging technologies such as Google Cloud Platform (Google Cloud Platform), Gemini, Vertex AI, Claude Code, Git Hub Copilot, MCP Servers, Java Spring Boot, and React.js. The ideal candidate has deep experience delivering production-grade AI solutions and building scalable frameworks that empower development teams to create intelligent applications and custom AI agents.

What You’ll Do: Architect and lead the development of enterprise AI platforms, agent frameworks, and developer productivity solutions. Design reusable AI services, orchestration patterns, integration frameworks, and reference architectures for enterprise adoption. Drive AI initiatives leveraging Google Cloud Platform, Gemini, Vertex AI, Claude Code, Git Hub Copilot, MCP Servers, and emerging agentic technologies. Build and operationalize secure, scalable, and reliable AI solutions integrated with enterprise cloud and security platforms. Establish best practices for AI governance, responsible AI, privacy, security, access control, and model risk management. Implement observability frameworks, including logging, monitoring, tracing, token utilization tracking, and operational dashboards. Collaborate with product management, security, architecture, and business stakeholders to define AI platform strategy and roadmap. Mentor engineers and technical teams on AI architecture, platform adoption, and custom agent development. Drive continuous improvement across platform engineering, AI tooling, and developer experience initiatives. Lead technical decision-making and influence enterprise-wide AI architecture standards.

Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.7 years of experience in software engineering, platform engineering, AI engineering, or related technical disciplines. Proven success delivering production-grade AI, LLM, or developer platform solutions. Hands-on experience with Gemini, Vertex AI, Google Cloud Platform AI services, or comparable cloud AI platforms. Strong expertise in AI agent architectures, agent orchestration, workflow automation, and multi-agent systems. Extensive experience developing enterprise applications using Java, Spring Boot, REST APIs, and Microservices. Experience with React.jsand modern web application development. Strong understanding of OAuth 2.0, OpenID Connect (OIDC), API security, authentication, and authorization frameworks. Experience with CI/CD, cloud-native development, observability, application reliability, and software delivery best practices. Strong problem-solving skills and ability to lead highly technical initiatives.

Preferred Qualifications: Experience using Claude Codeand Git Hub Copilotwithin software development workflows. Experience building or integratingMCP (Model Context Protocol) Servers and Clients. Experience with Agent-to-Agent (A2A)communication frameworks and distributed agent ecosystems. Hands-on experience with Google ADK, Spring AI, Lang Chain, Lang Chain 4j, or similar AI frameworks. Experience working with Gemini Agent Platform and Vertex AI capabilities, including Model Garden, Model Runtime, Model Gateway, and Agent Gateway. Familiarity with AI governance frameworks, Google Cloud Platform Model Armor, token controls, rate limiting, and AI cost management. Experience designing monitoring solutions for AI workloads, including observability, tracing, and performance analytics. Experience with containerization technologies and cloud-native architecture patterns. Experience building CI/CD pipelines using Harnessand Azure Dev Ops. Experience working within Agile and Scrum environments.

Technical Skills: AI & Cloud Platforms Google Cloud Platform (Google Cloud Platform)Gemini Vertex AIGemini Agent Platform Model Garden Agent Gateway Model Runtime Model GatewayAI Engineering & Agents Custom Agent Development Multi-Agent Systems Sequential Workflows Agent Orchestration Deterministic Agent Frameworks Agentic AI Architectures Developer Productivity Tools Claude Code Git Hub Copilot Prompt Engineering Custom Instructions Plugins and Extensions Integration & FrameworksMCP Servers and ClientsA2A Communication Patterns Google ADKSpring AILang Chain Lang Chain 4jApplication Development Java Spring Boot React.jsREST APIsMicroservices Cloud-Native Architecture Security & GovernanceOAuth 2.0 OpenID Connect (OIDC)Service AccountsAI Governance Responsible AIPrivacy & Access Management Google Cloud Platform Model Armor Dev Ops & OperationsCI/CDHarness Azure Dev Ops Logging & Monitoring Distributed Tracing Performance Optimization Incident Management Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.