Forward Deployed Engineer, Lead - AI Engineer
Lead the Forward Deployed Engineering function at Reflection AI, bridging cutting-edge AI research with enterprise deployments.
Posted by employer 5 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 9 hours ago
Skills & Technologies
Role intensity
40% coding
AI in the day-to-day
Engineers adapt and fine-tune models for customer-specific needs, contributing to internal codebase for inference and evaluation.
Requirements
- Experience
- 6+ years
- Visa
- Sponsorship available
Not disclosed in this posting: compensation.
Benefits
Joblaze summary
In this role, the Forward Deployed Engineer Lead at Reflection AI is responsible for overseeing the technical strategy and execution of deploying complex AI applications tailored to enterprise needs. The position requires a strong foundation in software engineering, particularly with Python and Typescript, along with experience in cloud environments and modern DevOps practices. Ideal candidates will have over six years of experience, including leadership in delivering AI-driven solutions, and a knack for customer engagement. Reflection AI emphasizes a collaborative environment where innovative solutions are developed to make intelligence accessible.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Reflection AI's careers page October 31, 2026.
- This exact title is also open at 1 other location at Reflection AI: Seoul.
- Python appears in 34.4% of 189 comparable lead ai/ml roles; CI/CD appears in 1.1% of 189 comparable lead ai/ml roles.
Quick facts
- Is the Forward Deployed Engineer, Lead - AI Engineer role remote?
- It's hybrid — Reflection AI expects some on-site time in New York, NY.
- How much experience is required?
- At least 6 years of relevant experience for this Forward Deployed Engineer, Lead - AI Engineer role.
- Where is the role based?
- Reflection AI is hiring for this position in New York, NY.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: CI/CD, Docker, Kubernetes, Python, TypeScript.
- Does Reflection AI sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Reflection AI targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Forward Deployed Engineer, Lead - AI Engineer role at Reflection AI.
From the original posting
Role Overview
We’re seeking an exceptional technical lead to build and scale Reflection’s Forward Deployed Engineering function within the AI Solutions team. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.
What You'll Do
Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
Architect and build complex agentic systems using state-of-the-art models, orchestrating sophisticated LLM workflows and integrating deeply with enterprise infrastructure.
Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.
Own end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), ensuring production-grade scalability, performance, and reliability.
Shape and scale the Forward Deployed Engineering organization by defining playbooks, best practices, technical standards, and mentorship to support team growth.
What We're Looking For
Strong software engineering background with experience shipping production-grade systems (Python, Typescript)
Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).
Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).
Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Standard company text repeated across Reflection AI's postings is omitted here.