Forward AI Deployment Engineer (FDE)

Location: Kraków, Lesser Poland Voivodeship, pl, Remote

Company Description

Are you energized by walking into a clients operation, finding the workflow thats actually holding them back, and rebuilding it so AI handles the parts that dont need a person? At Sigma Software, we dont just add AI on top of existing processes we redesign how the work gets done, with AI built into the operating logic from day one.

Were looking for a Forward AI Deployment Engineer to own that redesign end to end: embedded with the client, hands-on with whatever automation the workflow actually needs, and accountable for turning a real operational problem into something running in production not a demo, not a pilot. Each engagement is built to leave something behind for the next one patterns, infrastructure, governance that already held up in production so the second engagement doesnt start from zero, and the tenth looks nothing like the first.

Job Description

• Embed directly with the clients operational team to find the workflow thats actually costing them time, quality, or money before recommending any tooling.
• Own the redesign end to end: rework the decision flow and handoffs around AI, then take the resulting system into production yourself.
• Translate a vague, cross-functional business problem into a concrete technical plan the clients team can actually execute against.
• Prototype fast enough to show the client whats possible, then build only the parts of that prototype the redesigned workflow actually needs.
• Where the redesign calls for it, build the agentic systems, RAG pipelines, or custom data pipelines that make it real never a deliverable in itself, always because the workflow needs it running in production.
• Manage stakeholder alignment across the clients org, escalating early and requesting support before a blocker becomes a delay.
• Build up the clients own team alongside the system pair with their people, explain the reasoning behind each decision, and leave them able to run and improve what you built after youve moved to the next engagement.
• Build the feedback loop from day one telemetry, evaluation pipelines, human-in-the-loop review — so the system keeps improving after youve moved on.

Qualifications

• Proven experience taking AI systems from prototype to production inside a real operating environment, not just in a lab or sandbox.
• You treat LLM/RAG architectures, agentic systems, cloud platforms, and data pipelines as tools for redesigning how work gets done, not as the deliverable — and youre strong and current enough with all of them to actually use them that way.
• Comfort mapping decision logic thats partly undocumented, and judgment about where automation should stop and human accountability should start.
• Excellent communication and stakeholder management — able to advise a client directly and escalate without being asked.