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Conquer AI seeks a senior AI Engineer to lead end-to-end client delivery, turning vague problems into production-grade AI systems. You will own discovery, architecture, and hands-on development, collaborating with senior stakeholders and engineers to deliver robust, production-ready solutions.
The role is remote (US), high-impact, with a focus on real-world deployment, governance, and operational AI performance within client environments.
Please note: you must have full US working rights. We cannot sponsor for this role, and we do not consider Visa consideration through a C2C.
This role would suit you if you consider yourself an Engineer first and a Consultant second, someone who has carried a system from a client's vague problem through to something running in production, written the code yourself rather than just directed it, and who is just as comfortable at the keyboard as in the room with senior stakeholders.
You might have gone by Forward Deployed Engineer, AI Systems Architect, or Principal/Staff AI Engineer, titles matter less to us than whether you have actually done the job, hands in the code and all.
Conquer AI designs and deploys AI systems for enterprise organisations. We don't build for a slide deck. We build for production, and we deploy directly onto client sites, working inside their environments, their data and their existing infrastructure, so the system we ship is the system they actually run.
That means our team sits close to the client throughout, not just at handover. Discovery, architecture, build and deployment all happen with real constraints in view: existing tech stacks, security requirements, live operational workflows.
The measure of success isn't a demo. It's whether the system is still running, still delivering value, months after we have shipped it.
This is a senior role. You will take ambiguous, high-stakes client problems and carry them from discovery through to a system running in production. You won't be handed a spec. You will build one, defend it to senior engineering and business stakeholders, and then build the thing itself.
This is a senior bar, and it's a specific kind of senior. The strongest candidates have spent a decade or more doing enterprise or professional-services-style client delivery, often in regulated or compliance-heavy settings, before or alongside becoming AI specialists. That background matters as much as the AI skills do.
Core skills: Python, TypeScript, RAG, LLMs, multi-agentic systems, AI systems architecture, data pipelines, workflow orchestration, cloud deployment (AWS/Azure/GCP), production AI evaluation and guardrails
Please note, I personally review every CV, message and email I receive about our vacancies, but I can't reply to everyone individually given how many applications we get. Thank you for applying and for your interest in working with us. It's genuinely appreciated.