Senior Anthropic Forward Deployed Engineer - Gps

Senior Forward Deployed Engineer for Deloitte's Government & Public Services practice, focusing on building and deploying GenAI solutions for clients. This role involves client engagement, solution engineering, and prototyping AI-enabled applications, agentic platforms, and workflows. Requires strong software engineering skills, experience with Anthropic's Claude, and the ability to translate business needs into AI solutions.

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. Apply architecture decisions that balance quality, safety, latency, cost, and model risk.

Skills

Required

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Anthropic including hands on experience with one of the following key platform technologies: Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code.
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
  • 1+ years of experience building reliable, maintainable, and well-documented code.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to obtain and maintain a US government security clearance.

Nice to have

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.
  • Experience with MLOps/LLMOps practices: evaluation frameworks, mo

What the JD emphasized

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Anthropic including hands on experience with one of the following key platform technologies: Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code.
  • Ability to obtain and maintain a US government security clearance.

Other signals

  • GenAI-enabled solutions
  • agentic platforms
  • workflows
  • human-in-the-loop controls
  • model risk