Forward Deployed Engineer(Ai)

## Forward Deployed Engineer(AI)We are hiring Forward Deployed Engineers (FDEs) - senior, product-minded builders who are handed a goal, not a backlog, and own it from the first conversation to a shipped product.You will embed directly with the product and business teams who have the problem, and deliver end-to-end.What you'll own: - Projects, end-to-end. Take an idea or a problem from discovery ->
design ->
build->
ship ->
iterate, with minimal oversight. You are accountable for the outcome, not just the code. - Embedding with the teams who own the problem. Sit close to HP's product and business teams, understand what actually matters, and translate ambiguous needs into working software. - Build fast, then harden. Stand up prototypes in days to validate an idea, then evolve the winners into robust, fully realized products. - Scope, sequence, and protect delivery. Break an open-ended problem into clear workstreams, sequence them, make explicit trade-offs between scope, speed, and quality, and remove blockers beforethey cost you. - The whole stack. Work across frontend, backend, data, infrastructure, and AI - picking the right tool for the job rather than the one you know best. - AI as a force multiplier. Use AI coding tools and agentic workflows aggressively to design, build, and ship more - and faster - than a traditional team would. - AI-native products. Integrate LLMs, agents, retrieval, and real-time / voice capabilities into real products, with the judgment to know when AI is the answer and when it isn't. - Close the loop with the business. Own a measurable outcome, not just a deliverable - track the metrics that matter, understand how each project creates value, and let impact guide what you build next. - Feed learnings back into R&D. Share what worked and what didn't, and codify the patterns that work into reusable tools, playbooks, and building blocks the whole team can build on.Must-haves: - Deep seniority (7+ years). A track record of owning significant systems or products end-to-end.Evidence of real delivery matters more than a job title. - True end-to-end / product engineering. You can take something from zero to one and all the way to a shipped, live product by yourself - design, implement, deploy, and operate it - across the full stack. - AI-native to the core. This goes without saying for us: agentic coding tools like Cursor, Claude Code, and Codex are part of your daily workflow, not an occasional experiment - you build with AI by default.You stay current with a fast-moving ecosystem and fold new capabilities into how you work the moment hey land. - Problem decomposition. Handed a vague, open-ended problem, you structure it into a clear plan, reason about the cost and consequence of each option, and prioritize ruthlessly toward impact. - High autonomy and ownership. You thrive in ambiguity, set your own direction, unblock yourself, and consistently deliver without being managed. - Exceptional communication. Outstanding written and spoken English. You can run a working session, present a direction, write a crisp doc, and align people who don't think like engineers. For an FDE this is non-negotiable - it is half the job. - Bias for speed and impact. You ship, learn, and iterate quickly. You would rather validate an idea in a week than perfect a plan for a month. - Business sense. You understand how businesses work, what the metrics mean, and how the thing you are building actually creates value - and you use that to prioritize.Bonus points - Experience building AI / LLM products that shipped to real users - agentic workflows, RAG, evaluation frameworks, guardrails, and real-time / voice. - A 0-to-1, startup, founder, or consulting background - you have worn many hats and been close to customers. - A portfolio of side projects, open source, or shipped work that shows range and initiative. - Comfort being embedded with non-technical stakeholders and business teams.#J-18808-Ljbffr