Forward AI Deployment Engineer (FDE)

Sigma Software; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Sigma Software is seeking a Forward AI Deployment Engineer to own the 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 production-ready software.

Each engagement leaves infrastructure, governance, and patterns to carry forward to the next project, so the next engagement starts from a stronger base and looks nothing like the first.

Qualifications

• Proven experience taking AI systems from prototype to production in real operating environments.
• Ability to translate vague business problems into concrete technical plans.
• Excellent communication and stakeholder management.
• Experience embedding with client teams and driving cross-functional collaboration.

Responsibilities

• Embed directly with the client’s operational team to redesign workflows.
• Prototype quickly and deliver production-ready components.
• Own end-to-end delivery from concept to production.
• Build data pipelines and governance as part of engagements.

Job description

• 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
• 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 elevate 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

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.