Forward Deployed Engineers, embedded with your team.
Palantir-style Forward Deployed Engineers who sit inside your product, data and CX squads — turning enterprise AI ambitions into shipped software in weeks. Three vetted profiles in 48 hours.
- 48 hrs — 3 vetted FDE profiles delivered
- Embedded discovery & prototyping
- Agentic AI & LLM engineering
- Enterprise integrations & data
30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.
- OpenAI
- Anthropic Claude
- AWS Bedrock
- Google Vertex AI
- Microsoft Azure AI
- LangGraph
A working pilot in 90 days — not a 40-page slide deck.
FDEs work inside your teams to shape the problem, wireframe workflows, build clickable prototypes and prove ROI in a 2–4 week spike before scaling.
Multi-agent orchestration, tool-use, RAG, evals, guardrails and observability on OpenAI, Anthropic, Bedrock, Azure AI and Vertex — shipped to production.
CCaaS, CRM, ITSM and data-platform integrations — Genesys, NICE, Amazon Connect, Salesforce, ServiceNow, Snowflake, Databricks — behind SSO and inside your VPC.
“Their Forward Deployed Engineer sat with our claims squad for six weeks and shipped an agentic triage flow that cut handle time 28%. No slideware.”
Questions buyers ask us first.
- What is a Forward Deployed Engineer?
- A senior, full-stack engineer who embeds inside your business unit — shaping the problem, building the software and owning the production rollout — instead of shipping a spec over the wall.
- How is this different from a staff-aug developer?
- FDEs own the outcome, not just the tickets. They pair with product, data and CX leaders, run their own discovery, ship end-to-end (frontend, backend, LLM, evals, integrations) and stay accountable to a business KPI.
- Contract, contract-to-hire or managed pod?
- All three. Individual FDEs, 2–3 person embedded squads, or fully managed FDE pods with a delivery lead, shared SLA and replacement guarantee.
- How do they prove ROI before scaling?
- Every FDE runs a 2–4 week embedded discovery spike that ships a working prototype, an eval harness and a defensible unit-economics model your CFO signs off before scale-up.
- Which AI platforms and integrations do they ship on?
- OpenAI Enterprise, Anthropic Claude, AWS Bedrock, Microsoft Azure AI, Google Vertex AI, plus LangGraph, LlamaIndex and Kore.ai — integrated with Genesys, NICE, Amazon Connect, Salesforce, ServiceNow, Snowflake and Databricks behind SSO.
- Which AI platforms do your FDEs ship on?
- OpenAI Enterprise, Anthropic Claude, AWS Bedrock, Microsoft Azure AI, Google Vertex AI, plus LangGraph, LlamaIndex and Kore.ai — with evals, guardrails and observability wired in from day one.
Ready to see it in your stack?
30 minutes with a delivery lead. Your architecture, your KPIs, a concrete pilot outline you can defend internally.
Book a 30-min working session →