Senior Forward Deployed Engineer

Elios, Inc.; United States; Remote; USD 140,000 - 190,000; Part time

Job summary

Elios, Inc. is hiring a Senior Forward Deployed Engineer to design and ship agentic AI applications for enterprise functions. You will embed with process owners, delivering production-grade solutions rapidly on Microsoft Fabric and Azure AI services for a large global business.

You will work as the technical lead in a small pod, driving from problem to prototype to production in weeks, with a focus on security, reliability, and governance across enterprise systems.

Qualifications

• Proven experience building agentic AI systems in production.
• Strong state management, concurrency, and authorization for multi-user systems.
• Hands-on integration with enterprise APIs and data platforms.
• Experience with Azure or major cloud platforms for end-to-end apps.
• Rapid prototyping and ability to justify architectural choices to stakeholders.

Responsibilities

• Design, build, and harden agentic AI applications integrated with enterprise systems.
• Embed as technical lead of a small pod within a business function.
• Run short iteration cycles (1–2 weeks) from problem to prototype to production.
• Own security, reliability, scalability, observability, and governance of writes.
• Choose between low-code/agent-builder vs custom code per problem.
• Ensure data is AI-ready in Fabric with lineage and access controls.
• Document reusable patterns, components, and guardrails for the team.
• Adapt quickly to new domains and push back on unsuitable requirements.

Skills

State management

Concurrency

Idempotency

Authorization

Enterprise APIs

Azure

AI patterns

Rapid prototyping

Architecture decisions

Tools

Microsoft Fabric

Power Platform

Lyzr

Moveworks

Copilot Studio

Azure AI Foundry

Job description

Location: Remote (US) | Type: Contract (12 months) | Experience: Senior

About the Role

We're hiring a Senior Forward Deployed Engineer to design and ship agentic AI applications for corporate functions: Finance, HR, Legal, Procurement, Marketing, and Sales operations. You'll embed with the people who own the process and take a real business problem from idea to a working, production-grade solution in weeks, not quarters.

You'll usually be the only technical seat in a small pod alongside a process owner and a business sponsor. The applications you build run multi-step workflows, hold state across many users, and act directly on enterprise systems of record. That's a lot harder than a chatbot, and it's the point of the role. You'll build on Microsoft Fabric and Azure AI services for an enterprise of roughly 50,000 people, through a global technology consulting firm.

This is a 12-month remote contract with an ASAP start and a three-step interview process: a practical build exercise, a systems design discussion, and a stakeholder conversation. If you want the autonomy to build serious AI systems properly, this is the role.

What You'll Do

• Design, build, and harden agentic AI applications that read from and write to enterprise systems of record, grounded on Microsoft Fabric and Azure AI services
• Embed with a corporate function team as technical lead of a small pod, moving from problem to prototype to production at pace
• Run tight iteration loops (align on the outcome, prototype, gather feedback, refine) in one to two weeks each
• Own quality end to end: security, reliability, scalability, observability, and safe, governed write-back to source systems
• Make the right build call for each problem, whether that's low-code and agent-builder platforms or custom code
• Make sure the data behind each solution is AI-ready in Fabric, modeled, governed, and documented with lineage and access control that will hold up to audit
• Set and document the reusable patterns, components, and guardrails the wider team applies on every engagement
• Get credible in a new business domain quickly, and push back on requirements when the requested solution isn't the right one

Qualifications

Required

• Proven experience building agentic or multi-agent AI systems that run in production and serve real users (working systems, not demos)
• Strong command of state management, concurrency, idempotency, and authorization for systems that act on a system of record on behalf of many users
• Hands-on integration experience with enterprise APIs and data platforms, including safe read and write paths and graceful failure handling
• Working knowledge of modern AI application patterns: RAG, prompt and context design, agent orchestration, tool use, and protocols like MCP
• Strong, hands-on command of a major cloud platform, ideally Azure, owning an application end to end rather than only consuming pre-built services
• A track record of rapid prototyping with AI-assisted development
• Senior IC judgment: you can make architecture and feasibility calls alone, under time pressure, and explain them to non-technical stakeholders

Nice to Have

• Microsoft Fabric experience (Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Power BI, OneLake) or a comparable enterprise data platform
• Copilot Studio, Power Platform, Azure AI Foundry, or agent-builder platforms such as Lyzr or Moveworks
• Integrations with corporate systems of record like Oracle HCM, SAP, Workday, Salesforce, Dynamics 365, or ServiceNow
• Familiarity with identity and access management, data classification and residency, responsible AI policy, and model output evaluation
• A background that blends engineering with consulting, business transformation, or a corporate function discipline

Why Join Us

You'll be working with a small, senior team that's trusted to build AI systems that change how a very large business operates day to day. The pods are lean, the feedback loops are short, and the people you build for are right next to you.

If you've ever been frustrated by AI work that never gets past a demo, this role is built to ship.