DD

Forward Deployed Engineer

Domino Data Lab H-1B Information Technology Full-timeNew York, NY $165,000—$200,000 USD
Posted Sep 26, 2026 · Expires Oct 18, 2026

Quick facts

Pay
$165,000—$200,000 USD
Type
Full-time
Location
New York, NY
Experience
1–3 years
Skills
Python, SQL, Docker, Kubernetes, AWS
Industry
Information Technology — 671 open jobs
Visa in listing
H-1B
Apply
Free to apply — never pay anyone for a job offer or visa sponsorship

Job description

Who We Are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What We Are Building

The Customer Engineering Solutions Team at Domino is the primary delivery engine working inside some of the world’s most regulated, complex, and demanding organizations—where security, reliability, governance, and production readiness are critical.

A Forward Deployed Engineer is a software engineer with solutions instincts, embedded in a customer’s environment and building AI workflows on Domino that the customer couldn’t have built as fast, or as well, without you. We write production code, ship it inside the customer’s environment, and stay close to the problem until Domino is fundamentally part of how they work.

We build and deploy production-grade AI solutions against real, high-impact use cases. That can mean specialized AI and inference workflows, custom cloud and data integrations, interactive applications, CI/CD and platform extensions, or solutions designed to operate within strict security, compliance, and governance requirements.

What Your Impact Will Be

  • Day 0–30 (Onboard & Shadow): You will be given the resources to master Domino platform mechanics and learn core user/admin functionalities. You will closely shadow the customer’s environment, pairing with a senior FDE to learn the client’s unique data, tooling stack, and commercial objectives.
  • By Month 6 (Full Ownership): You will step into full customer ownership across your engagements, executing independently against a prioritized backlog managed by your partner Engagement Manager (EM). You will build and deploy production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring) while actively advising data science teams on Domino best practices.
  • By Year 1 (Strategic Scale & Leverage): You will lead and advise on key accounts, serving as a trusted advisor to technical and business stakeholders alike. You will author reusable playbooks, integration templates, and deployment guides for our shared knowledge base, measurably lifting the delivery speed of the entire FDE practice. Additionally, you will translate field intelligence into critical product feedback, routing platform signals to our SRE, Support, and Product teams to shape Domino’s roadmap.

What We Look For In This Role

  • 1-3 years of experience working in a customer-facing technical role
  • Core Technical Stack: Strong engineering roots with deep proficiency in Python (primary), alongside familiarity with SQL, R, and Bash.
  • Cloud & Infrastructure: Experience with Kubernetes and managed K8s solutions (such as EKS, AKS, or GKE), Docker, and cloud architecture (AWS, Azure, or GCP). You should be capable of troubleshooting networking, compute, and platform issues.
  • AI & MLOps Experience: A proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks.
  • Regulated Environment Navigation: Experience operating within, or consulting for, highly regulated or constrained environments. You can expertly navigate multi-factor constraints like strict compliance rules, data security hurdles, and infrastructure limits.
  • Consultative Mindset: Exceptional communication skills across both technical and business audiences. You are comfortable running structured discovery conversations, leading technical solutioning sessions, and translating messy customer requirements into buildable, tested solutions.
  • Execution Style: An "act fast, own it" mentality. You thrive in ambiguity, do not let blockers sit, and are comfortable making yourself productive inside an unfamiliar codebase quickly.

What We Value

  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

Visa Sponsorship:

Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements. Sponsorship eligibility is assessed on an individual basis and is not guaranteed for any role or candidate. All applicants are encouraged to apply regardless of current or future immigration status.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Total Compensation Range
$165,000—$200,000 USD

Visa sponsorship record: Domino Data Lab, Inc.

Sponsors actively
15H-1B labor applications (LCA)100% certified
10H-1B petitions approved by USCISapproval rate 100% · 5 new
3Green card filings (PERM)1 certified
$185kMedian H-1B salaryfrom LCA filings
Fiscal yearH-1B LCAsUSCIS approvalsUSCIS denialsPERM
FY2026420—
FY20257303
FY2024450—

✔ Domino Data Lab, Inc. filed 1 H-1B application for this kind of role (Data Scientists) in the period above.

Roles they sponsor most

  • software engineer5 LCAs · median $180k
  • product manager3 LCAs · median $240k
  • director gsi alliances1 LCA · median $300k
  • director solution architecture system integration partners1 LCA · median $260k
  • engineering manager1 LCA · median $260k

Full sponsorship history of Domino Data Lab, Inc. →

Which visas can work for this job

Occupation: Data Scientists (SOC 15-2051).

  • Mentioned in the listing

    H-1B

  • H-1B cap-exempt employer

    Regular cap-subject employer — a new H-1B needs to win the lottery in March (unless you already hold cap-counted H-1B status).

  • TN (citizens of Canada and Mexico)

    This kind of role may fit the USMCA profession “Mathematician / Statistician” — it depends on the actual duties. No lottery, no cap; you need the matching degree or license.

  • E-3 (Australia) and H-1B1 (Chile, Singapore)

    Same degree requirement as H-1B, but no lottery and a separate quota that is rarely filled.

  • O-1 (extraordinary ability)

    For candidates with awards, publications, press, a high salary or critical roles at distinguished organizations. No cap, no lottery; the employer files a petition.

  • STEM OPT extension (F-1 students)

    Requires an E-Verify employer. We didn't find this company in the E-Verify list — ask HR.

  • Green card (EB-2 / EB-3 via PERM)

    Filed 3 PERM labor certifications: they have a track record of sponsoring permanent residence.

Salary vs prevailing wage

Level IV (fully competent)

Data Scientists · New York (state median of areas). Annual prevailing wages set by the Department of Labor (OFLC).

L1L2L3L4
LevelPrevailing wageH-1B lottery odds*
Level I$64,251~15%
Level II$85,748~31%
Level III$106,434~46%
Level IV$126,392~61%

This job pays $165,000–$200,000 a year — that's Level IV (fully competent). In the wage-weighted H-1B lottery a Level IV registration gets 4 entries; estimated selection chance about 61% — better than average.

* Odds are DHS projections for the FY2027 wage-weighted lottery (actual results vary by year and employer). Since the FY2027 cap season the H-1B lottery is weighted by wage level: Level I = 1 entry, II = 2, III = 3, IV = 4. The level is set by the offered wage against the prevailing wage for the occupation and worksite. Separately, a $100,000 fee for new H-1B petitions for workers outside the US was announced in 2025; as of September 2026 a federal court ruling keeps it unenforceable while appeals continue — check the current status.

Sources: U.S. Department of Labor OFLC disclosure data (H-1B/H-1B1/E-3 LCA, PERM), OFLC prevailing wage data, USCIS H-1B Employer Data Hub, E-Verify participating employers. Data loaded: LCA FY2024–FY2026, PERM, USCIS Data Hub, OFLC wages; updated 2026-10-03. Employers are matched by name, so records of companies with similar names can occasionally be mixed up. This is general information, not legal advice — talk to an immigration attorney about your case.