Forward AI Deployment Engineer (FDE)

Short Summary

Forward AI Deployment Engineer (FDE) at Sigma Software. About the employer Are you energized by walking into a client's operation, finding the workflow that's actually holding them back, and rebuilding it so AI handles the parts that don't need a person? At Sigma Software, we don't 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. We're looking…

Key Details

• Position / opportunity: Forward AI Deployment Engineer (FDE)
• Organization: Sigma Software
• Country / coverage: Poland
• Location: Kraków, Lesser Poland Voivodeship, Poland
• Work arrangement: Remote
• Opportunity type: Remote work opportunities
• Sector: Information Technology
• Compensation: Not specified
• Application deadline: Not specified by source

Description

About the employer

Are you energized by walking into a client's operation, finding the workflow that's actually holding them back, and rebuilding it so AI handles the parts that don't need a person? At Sigma Software, we don't 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.

We're 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 doesn't start from zero, and the tenth looks nothing like the first.

Responsibilities

Embed directly with the client's operational team to find the workflow that's 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 client's team can actually execute against

Prototype fast enough to show the client what's 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 client's org, escalating early and requesting support before a blocker becomes a delay

Build up the client's 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 you've 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 you've 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 you're strong and current enough with all of them to actually use them that way

Comfort mapping decision logic that's 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

BFSI domain experience is a must-have: Proven commercial experience delivering solutions for Banking, Financial Services, or Insurance, including understanding business processes, identifying operational challenges, and implementing technology solutions tailored to the domain

Additional information

Responsibilities

• Embed directly with the client's operational team to find the workflow that's 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 client's team can actually execute against
• Prototype fast enough to show the client what's 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 client's org, escalating early and requesting support before a blocker becomes a delay
• Build up the client's 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 you've 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 you've moved on

Requirements / Eligibility

• 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 you're strong and current enough with all of them to actually use them that way

  Comfort mapping decision logic that's 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

  BFSI domain experience is a must-have: Proven commercial experience delivering solutions for Banking, Financial Services, or Insurance, including understanding business processes, identifying operational challenges, and implementing technology solutions tailored to the domain

How To Apply

Select Apply now to complete the application for this position. Submit the documents requested in the application form.