Government AI Deployment Lead — Secure, Open Models

reflectionai; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

reflectionai is seeking a Deployment Staff member to own the technical execution of strategic engagements from discovery through production delivery. You will work across the AI stack, including GPU orchestration, inference, and model post-training, building harnesses and applications on top.

You'll partner with US government customers, delivering secure, offline or air-gapped deployments in SCIFs, with TS/SCI clearance preferred.

Qualifications

• Experience delivering software into classified or air-gapped government environments.
• Strong Python and production-grade systems experience.
• Proven track record leading complex technical projects across multiple workstreams.
• Hands-on infrastructure and inference experience with multi-node GPU clusters and large models.
• Experience shipping LLM-based agents and their harnesses.
• 5+ years of relevant experience with 2+ years in a leadership role.
• Customer-facing experience and ability to operate in fast-paced startup environments.

Responsibilities

• Secure Deployment: Design, deploy, and operate agentic systems in air-gapped and classified networks, including fully offline model serving without access to external services.
• Mission Engagement: Work on-site with government customers, including in SCIFs. Turn mission requirements into secure AI solutions that meet accreditation and compliance standards.
• Technical Discovery & Architecture: Lead deep technical discovery with customer teams across inference workloads, agentic applications and post-training.
• Benchmarks & POCs: Own proofs of concept end to end: define evaluation criteria with the customer, benchmark on their real workloads, and demonstrate Reflection's quality, latency, and cost against competing options.
• Delivery: Architect and build complex AI systems, including agentic applications, model-serving infrastructure, evaluations, and post-training recipes.
• Product & Research Contribution: Identify repeatable patterns and model gaps in the field that should shape our platform or model capabilities.
• Playbooks & Operating Model: Define playbooks, reference architectures, reusable technical assets and best practices.

Skills

Python

Kubernetes

vLLM

SGLang

GPUs

Tools

MCP

tool calling

Torch

Job description

reflectionai is seeking a Deployment Staff member to own the technical execution of strategic engagements from discovery through production delivery. You will work across the AI stack, including GPU orchestration, inference, and model post-training, building harnesses and applications on top.

You'll partner with US government customers, delivering secure, offline or air-gapped deployments in SCIFs, with TS/SCI clearance preferred.