Summary
✨ AI‑Generated
A consulting organization is hiring a senior forward deployed engineer to work inside client businesses, identify processes that can benefit from AI-native redesign, and build production-ready solutions. You will combine strong software and DevOps expertise with consulting and communication skills, selecting appropriate AI tools and delivering end-to-end architectures rather than prototypes.
Highlights
Earn a $200k-$250k package while working directly with clients to redesign business processes around production-ready AI. The role combines senior software and DevOps engineering with consulting, architecture, and meaningful ownership of end-to-end solutions.
Description
Forward Deployed Engineer (AI Architecture) - $200k-$250k package - Consulting
tekFinder have a number of new FDE roles for senior level engineers with great communication skills and experience in the consulting space.
We are looking for engineers who will work closely with clients to identify which business processes are ripe for an AI-native redesign, ones where agents can genuinely speed things up rather than just look impressive in a demo.
You will re-imagine and rebuild processes end to end: designing an AI approach, picking the right tools for the job (Anthropic's stack among them), and building solutions that are actually production-ready.
This isn't a prompt engineering job and it's not a POC-building job.
This is for senior devops/software engineers who go inside a client's business, redesign a broken process, and ship the AI architecture that runs it in production.
The week, roughly:
40% embedded with the client, re-imagining a core business process (supply chain, insurance ops, SDLC, wherever the mess is) for an AI-native way of working30% designing and shipping the actual architecture: agentic workflows, RAG pipelines, tool selection across Claude/GPT/Gemini, MCP20% technical leadership: owning architecture calls, mentoring client-side engineers, running incident resolution10% governance: eval frameworks, LLMOps, security and compliance sign-off from day one
In more detail:
You'll own the technical relationship end to end, from the first whiteboard session with a CTO through to a production system under real load.
You'll get to know the client's infra, tooling and people intimately, then decide what should be handled by agents and what shouldn't.
The bar is high: they're not after people who can demo something impressive, they're after people who can make it safe, scalable and boring in the best way.
What you'll need:
10+ years in software engineering, architecture or technical consulting, with 3+ years shipping AI/ML or LLM-based solutions in productionHands-on with Claude, GPT and Gemini in production (not demos), and you can talk trade-offs: cost, latency, context limits, reasoning qualityBuilt RAG pipelines on messy real-world data, worked with agentic frameworks and MCP, know your way around vector DBs and chunking strategyStrong on AWS, Azure or GCP, comfortable with containerisation/orchestration in productionComfortable across the data stack (Snowflake, BigQuery, Databricks or similar)Bonus: regulated industry experience, responsible AI/model risk frameworks, open source contributions, eval/observability tooling (LangSmith, Promptfoo, W&B)
Where similar candidates have fallen short: Strong on POCs, thin on production.
If your agentic workflows haven't survived contact with enterprise security, scale and reliability requirements, this one's a stretch.
Salary is flexible depending on what you've actually built and shipped, this isn't a fixed band.
DM me if this sounds like you, pls, or tag someone who fits.
#ForwardDeployedEngineer #AIArchitecture #DevOps
