AI Led Forward Deployed Engineer | Design & Digital Products

You are:

As an AI led FDE , you embed with design & product teams to originate, design, and ship AI-powered digital products and experiences into production. You will build on top of enterprise data and technology foundations to create AI-powered products that face customers, employees, and business users, driving revenue, engagement, and better decisions

The work:

+  Identify where AI creates measurable business value before a brief exists. Originate use cases, prioritize by impact, and shape the engagement.

+  Differentiate through a product-led approach. Pair AI & data depth with product strategy and product thinking, so the work ladders to a real product and its outcomes, not a proof of concept.

+  Bring fluency in the design-to-product pipeline. Move from insight and concept through design, prototype, and production the way Design & Digital Products builds, connecting strategy directly to what ships.

+  Design and build AI systems end to end: RAG architecture, agentic orchestration, prompt & context engineering, evals & guardrails, tool-use patterns, and MCP integration.

+  Select the right model and approach: frontier-model selection, and when to apply fine-tuning (LoRA / PEFT) vs. prompt engineering vs. RAG, exercising judgment over execution across cost, latency, accuracy, and compliance tradeoffs.

+  Activate AI within the client's existing enterprise data platforms. Connect AI products to where the data lives using data-gravity patterns rather than re-architecting infrastructure.

+  Build AI-powered digital products and experiences full-stack, with production accountability. Ship working code, not recommendations.

+  Deploy responsibly to production: MLOps, model serving, security, and cost / latency discipline at product level, with effective monitoring.

+  Codify best-practice delivery patterns and feed field learnings back into the offering to make delivery repeatable.

Basic

Required Qualifications:

+  Minimum 3 years of AI & Data experience, including solutioning, designing, or delivering AI & Data projects, with hands-on work shipping GenAI features (RAG, agentic workflows, evals and guardrails), not strategy decks alone.

+  Minimum 3 years of high-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead work streams and meet deadlines, or relevant industry / functional experience.

Prefered Qualificaitions:

+  Hands-on delivery experience on at least one enterprise AI platform in production: AWS Bedrock, Google Vertex AI, Azure AI Foundry, or Databricks Mosaic AI.

+  Working fluency with GenAI frameworks and patterns:
Lang Chain or Llama Index, agentic orchestration (CrewAI / Auto Gen), MCP, prompt and context engineering, and model selection across frontier and open-weight models (Claude, Gemini, GPT, Llama, Mistral).

+  Model judgment: knows when to apply fine-tuning (LoRA / PEFT) vs. prompt engineering vs. RAG, and can reason about cost, latency, accuracy, and compliance tradeoffs.

+  Product engineering ability: full-stack build of AI-powered digital products, ships working code, and can activate AI against existing enterprise data using data-gravity patterns rather than re-architecting infrastructure.

+  Product-led mindset: connects AI & data work to product strategy and the design-to-product pipeline, and can originate use cases and shape an engagement before a brief exists.

+  Experience managing senior stakeholders.

+  Strong program management and verbal and written communication skills.

+  Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities.

+  Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and…