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Added 1 day ago
AI Engineer I, II, III or Senior
Tri-State Generation and Transmission Association, Inc.
Westminster, CO
The Senior AI Engineer leads AI engineering at Tri-State, guiding multiple engineering teams and projects from business opportunity through production delivery. A domain expert in…
Added 6 days ago
FE
Platform Engineering Advisor
Federal Express Corporation
Memphis, TN · Plano, TX
- $106,763 to $144,131.16 USD / year
As a Platform Engineer you will be responsible for the development, integration and management of technical frameworks deployed within private, public, and/or hybrid cloud platforms…
Added 13 days ago
Sr. Advisor - AI/ML Product Owner
Lilly
Indianapolis, IN
Strong understanding of various machine learning algorithms, deep learning techniques, natural language processing (NLP), and computer vision.
Added 15 days ago
FE
Platform Engineering Advisor
Federal Express Corporation
Memphis, TN · Plano, TX
- $106,763 to $144,131.16 USD / year
As a Platform Engineer you will be responsible for the development, integration and management of technical frameworks deployed within private, public, and/or hybrid cloud platforms…
Added 17 days ago
Lead AI Engineer/Architect
PRECISE SOFTWARE SOLUTIONS INCORPORATED
Washington, DC
At least one current Generative AI or Machine Learning certification, Microsoft Azure AI, AWS Generative AI/ML, Google Cloud, Databricks Generative AI Engineer, Snowflake SnowPro, NVIDIA…
Added 18 days ago
Sr. Advisor - AI/ML Product Owner
Eli Lilly and Company
United States
Strong understanding of various machine learning algorithms, deep learning techniques, natural language processing (NLP), and computer vision.
Added 18 days ago
Staff Machine Learning Engineer, Platform (MLOPS)
Credit Acceptance Corporation
CA · WA · MI
Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy…
Added 19 days ago
Senior Delivery Consultant - AI/ML, AWS Professional Services
Amazon Web Services, Inc.
Jersey City, NJ · Austin, TX · Arlington, VA · New York, NY · Atlanta, GA · Chicago, IL · Dallas, TX
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive…
Added 19 days ago
Senior Delivery Consultant - AI/ML, AWS Professional Services
Amazon Web Services, Inc.
Jersey City, NJ · Seattle, WA · Atlanta, GA · New York, NY · Herndon, VA · Chicago, IL · Mountain View, CA · San Francisco, CA · Dallas, TX
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive…
Added 19 days ago
Senior DevOps Engineer / Platform Engineer
Copart, Inc
Dallas, TX
We are seeking a highly skilled Senior DevOps Engineer / Platform Engineer with strong expertise in Linux systems, Kubernetes, cloud-native platforms, automation, infrastructure…
Added 19 days ago
H
Senior Machine Learning Platform Engineer - Model Hosting & MLOps
HP
Spring, TX
- $147,050 to $230,850 USD / year
Senior Machine Learning Platform Engineer - Model Hosting & MLOps
Added 19 days ago
Forward Deployed Engineer, Life Sciences
Domino
Remote, United States
AI & MLOps Experience: A proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks.
Added 19 days ago
Forward Deployed Engineer
Domino
NY
AI & MLOps Experience: A proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks.
Added 19 days ago
Principal, AI Engineer
Venture Global LNG Inc
Arlington, VA
The Principal AI Engineer is the senior-most individual contributor and technical authority within Venture Global's AI Engineering function. This role owns the reference architecture,…

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Domino

Forward Deployed Engineer

NY, United States

$165,000 - $200,000 USD

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Job details

Pay: $165,000 - $200,000 USD
Experience: 1-3 years of experience working in a customer-facing technical role
Posting language: English
Posted: Sep 25, 2026

Original 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

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More about this job

Skills

Python
SQL
R
Bash
Kubernetes
Docker
AWS
Microsoft Azure
Google Cloud
Troubleshooting
Machine learning
Regulatory compliance
Apply information security policies
Communication skills
Teaching
Sales

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