Enterprise AI Deployment Engineer (Forward‑Deployed)

Elios AI; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Elios AI is hiring a Forward Deployed Specialist to sit inside enterprise accounts and turn AI capability into production software. You’ll map customer workflows, design integrations, and ship solutions that actually run in production.

You’ll split time between understanding the customer problem and coding, working with AWS/GCP/Azure, APIs, and enterprise systems. Expect to lead pilots through production cutover, validate results, and translate business needs into engineering success.

Qualifications

• 5+ years building and shipping production software.
• Strong Python and solid API and systems fundamentals.
• Experience deploying and operating on AWS, GCP, or Azure.

Responsibilities

• Embed with enterprise customers to map workflows and constraints.
• Build and ship LLM-powered applications and agentic workflows across retrieval, tool integration, orchestration, and evaluation.
• Wire into customer systems that were never built for this, including legacy APIs, on-prem data stores, SSO, and enterprise auth.
• Run the technical side of pilots and expansions, from the first workshop through production cutover.
• Write evals that tell you the truth about whether a system is good enough to hand over.
• Translate between the customer's business language and the engineering team's, and be trusted by both.
• Feed real deployment friction back to product so the platform stops requiring heroics.
• Handle security reviews, data handling requirements, and procurement questions without stalling the build.

Skills

Python

APIs

Enterprise integration

Client-facing delivery

Technical judgment

System debugging

Tools

AWS

GCP

Azure

Containers

Observability

Job description

Elios AI is hiring a Forward Deployed Specialist to sit inside enterprise accounts and turn AI capability into production software. You’ll map customer workflows, design integrations, and ship solutions that actually run in production.

You’ll split time between understanding the customer problem and coding, working with AWS/GCP/Azure, APIs, and enterprise systems. Expect to lead pilots through production cutover, validate results, and translate business needs into engineering success.