Google Forward Deployed Engineer - Gps

This role focuses on building and deploying Generative AI (GenAI) enabled solutions, agentic platforms, and workflows for clients, leveraging Google Cloud technologies. The engineer will work closely with clients to identify use cases, prototype, and deliver production-quality AI solutions, emphasizing scalable patterns, tool use, and human-in-the-loop controls. The role requires strong software engineering practices and experience with Google's AI offerings.

What you'd actually do

  1. Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  2. Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  3. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  4. Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  5. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.

Skills

Required

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 4+ years of experience in software engineering, data engineering, data science, or analytics engineering
  • 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions
  • Ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, on average

Nice to have

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling

What the JD emphasized

  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration

Other signals

  • GenAI-enabled solutions
  • building working software
  • prototype and deliver high-impact GenAI-enabled solutions
  • Build AI-enabled solutions, agentic platforms, and workflows
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls
  • Deploying GenAI or large language model-powered solutions