Full Stack AI Tech Specialist

We are seeking a senior hands-on Full-Stack AI Tech Specialist to architect build and scale Lightspeeds multi-agent AI platform. This is a deep technical individual contributor role for someone who operates seamlessly across the full stack from agent orchestration and AI workflows to APIs data access and user experience and helps define how conversational AI is delivered at enterprise scale. The role is designed for a builder who thrives at the intersection of data AI platform engineering and developer experience with end-to-end technical ownership and meaningful enterprise impact.

What Youll Do

• Design and implement multi-agent AI systems using Google ADK including agent orchestration tool calling memory and reasoning workflows.
• Build end-to-end conversational AI experiences spanning frontend backend services data platforms and AI/ML components.
• Develop reusable agent frameworks APIs and platform primitives that enable teams to rapidly build domain-specific AI agents.
• Integrate LLMs with enterprise data sources ensuring secure access policy enforcement and governance-by-default.
• Implement human-in-the-loop patterns evaluation loops and guardrails for responsible AI behavior.
• Drive platform reliability performance observability and cost efficiency for AI workloads.
• Act as a technical anchor for complex design decisions proofs-of-concept and production hardening.

• Partner with product data science and platform teams to translate AI use cases into scalable platform capabilities.

  Why This Role Matters

• You will help define how AI agents are built governed and scaled across Ford.
• Youll work on a platform that directly shapes enterprise decision-making and productivity.
• This is a senior IC role with real architectural influence not a people-management track.

What You Bring

• Deep hands-on experience building production-grade AI systems preferably involving conversational AI agents or LLM-based architectures.
• Strong full-stack engineering expertise across backend services APIs data access layers and modern frontend frameworks.
• Practical experience with multi-agent frameworks orchestration patterns or Google ADK (or equivalent agent platforms).
• Solid understanding of the AI/ML lifecycle: prompt engineering tool use evaluation monitoring and continuous improvement.
• Experience building cloud-native systems using containers Kubernetes CI/CD and infrastructure-as-code.
• Strong grounding in enterprise data platforms security access controls and privacy-aware system design.

• A clear point of view on responsible AI trust and human-in-the-loop augmentation as non-negotiable.

  Representative Technologies

• Google ADK LLM ecosystems agent frameworks
• Python Java Springboot
• Modern frontend frameworks (React or equivalent)
• ML/AI tooling (LLMs embeddings vector stores evaluation frameworks)
• Cloud platforms Kubernetes APIs distributed data systems