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HomeCompaniesReflectionaiForward Deployed Engineer, Lead - AI Engineer

Forward Deployed Engineer, Lead - AI Engineer

Reflectionai · New York · On Site · Active · Ashby

Job facts

FieldValue
CompanyReflectionai
TitleForward Deployed Engineer, Lead - AI Engineer
Normalized title-
Department / teamApplied AI / Applied AI
LocationNew York, NY, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Reflectionai.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Applied AI.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyReflectionai
Sourcedde42094-6e1e-4abd-8700-6037f9147ed6
ATS providerAshby

Description

Our Mission Reflection’s mission is to build open superintelligence and make it accessible to all . We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. 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. What We Offer: We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally. Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance. Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning. Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

Full job record

Job IDf9038ec3b99fde3907f3b28db376e29bbcce700e
Org ID83b4dbeb-3efd-46c3-bff0-8d3e2c88f32e
Source IDdde42094-6e1e-4abd-8700-6037f9147ed6
Board IDdde42094-6e1e-4abd-8700-6037f9147ed6
Providerashby
Provider Job Key56fbaa8a-63c7-44c2-8f29-c70e5a5a662e
TitleForward Deployed Engineer, Lead - AI Engineer
Normalized Title
Statusactive
Activeyes
Location TextNew York
DepartmentApplied AI
TeamApplied AI
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/reflectionai/56fbaa8a-63c7-44c2-8f29-c70e5a5a662e
Apply URLhttps://jobs.ashbyhq.com/reflectionai/56fbaa8a-63c7-44c2-8f29-c70e5a5a662e/application
First Seen At2026-05-29 07:09:54Z
Last Seen At2026-06-06 09:36:38Z
Last Checked At2026-06-06 09:36:38Z
Last Changed At2026-06-06 09:36:38Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=reflectionai/date=2026-06-06/2026-06-06T09-36-12-388Z-e87e15cfc907f71a6e75e1369d4f9b614f0e9bd012cb8bc4c91c0d043d46bf37.json
Event Fields
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  "last_changed_at": "2026-06-06T09:36:38.527Z",
  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
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  "secondaryLocations": [
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}
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