Jobs in the United States

25+ jobs

Save this search

Added 9 hours ago
Principal Hardware Engineer
Cisco Systems, Inc.
San Jose, CA
Bachelor’s degree in electrical engineering or computer engineering or computer science, with 15+ years of experience; master’s degree with 12+ years in electrical engineering or computer…
Added 13 hours ago
Senior AI/ML Research Engineer, Cloud AI Research and AI Rapid Response
Google
Mountain View, CA
Experience independently driving engineering delivery in rapid SWAT, Pathfinding, or Forward Deployed Engineering (FDE) environments.
Added 17 hours ago
S
Senior Applied AI Engineer II
Saint-Gobain
NORTHBORO, MA
- $102,000 to $158,000 USD / year
This hands-on, forward-deployed role brings together scientists, engineers, industrial teams, business stakeholders, IT, data, MLOps, cybersecurity, architecture, and platform teams. It…
Added 19 hours ago
Forward Deployed Engineer, AWS Forward Deployed Engineering, US Government
Amazon
Denver, CO
A Forward Deployed Engineer II (FDE II) embeds directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the…
Added 20 hours ago
ID
Senior Cloud & Hybrid Network Engineer - JobID-0265
Innovative Defense Technologies
Arlington, VA
- $135,000 to $273,000 USD / year
…Artificial Intelligence (AI) & Machine Learning (ML) based data analytics, cybersecurity, as well as backfit and forward-fit tactical…
Added 20 hours ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
Chicago, IL
- $200,000 to $250,000 USD / year
- Help establish the forward deployed engineering function as the team grows.
Added 20 hours ago
Forward Deployed Engineer - Finance
NVIDIA USA
CA
NVIDIA Finance is hiring a Forward Deployed Engineer and AI Enabling expert to help turn that potential into measurable business outcomes. Embedded within the Finance AI team, you will work…
Added 23 hours ago
Staff Site Reliability Engineer
Anduril Industries
Costa Mesa, CA
It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure.
Added 23 hours ago
Senior Forward Deployed Software Engineer - Equities Technology
Millennium
Miami · New York
6+ years of professional software development experience, with a strong foundation in computer science principles including data structures, algorithms, and system design.
Added 1 day ago
Perception Engineer (Technical Lead, Engineering) - 30883
Huntington Ingalls Industries
Virginia Beach, VA
…Evaluate performance through robot testing, sea trials, and data analysis, turning findings into system improvements • Define metrics and evaluation frameworks to monitor deployed system…
Added 1 day ago
Lead Engineer, Pricing & Decision Systems
One Park Financial
Miami, FL
…accurately and on time. You will coordinate across Product, DevOps, Data Engineering, Data Science, and QA to take pricing changes from a specification to production with…
Added 1 day ago
Lead Engineer, Pricing & Decision Systems
One Park Financial
Plano, TX
…accurately and on time. You will coordinate across Product, DevOps, Data Engineering, Data Science, and QA to take pricing changes from a specification to production with…
Added 1 day ago
Lead Engineer, Pricing & Decision Systems
One Park Financial
Salt Lake City, UT
…accurately and on time. You will coordinate across Product, DevOps, Data Engineering, Data Science, and QA to take pricing changes from a specification to production with…
Added 1 day ago
Senior Data Scientist
Mphasis Corporation
NEW YORK, NY
Senior Data ScientistJob Title: Senior Data ScientistLocation:United States (US time zones)Experience: 4+ years of applied data science delivery## About the RoleYou will work as a forward…
Added 1 day ago
Staff AI Solutions Engineer - Nuclear & Safety
Mirion
Meriden, CT
…for visual inspection and image-based QA, spectral and sensor-data analytics, basic software development, and agentic AI / LLM-based automation for decision support and workflow…
Added 1 day ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
United States
As a Forward Deployed AI Engineer, you will work independently on a diverse set of well-defined and emerging problems, using sound judgment to adapt established engineering patterns to the…
Added 1 day ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
United States
As a Forward Deployed AI Engineer, you will work independently on a diverse set of well-defined and emerging problems, using sound judgment to adapt established engineering patterns to the…
Added 1 day ago
Principal AI Platform Engineer
ServiceNow
Santa Clara, CA
…automation, CPQ, customer service, and field service. As Principal Forward Deployed Engineer, you are the lead architect for the FDE group within CRM & Industry Engineering: the person who…
Added 1 day ago
Forward Deployed Engineer (Model Customization and Optimization), AWS Forward Deployed Engineering
Amazon Web Services, Inc.
Boston, MA · Arlington, VA · Seattle, WA · New York, NY · East Palo Alto, CA
As a Forward Deployed Engineer II (FDE II) on the Custom Model and Optimization team, you embed directly with strategic customers to build, optimize, and run custom generative AI models in…
Added 1 day ago
Senior Forward Deployed Engineer (Model Customization and Optimization)
Amazon Web Services, Inc.
Boston, MA · Arlington, VA · Seattle, WA · New York, NY · East Palo Alto, CA
As a Senior Forward Deployed Engineer (Senior FDE) on the Custom Model and Optimization team, you are the technical lead embedded inside a strategic customer, accountable for building,…
Added 1 day ago
SH
Product Engineer - AI/ML
Stanford Health Care
United States
- $81.59 to $108.12 USD / hour
The Product Engineer – AI/ML bridges technical strategy, hands-on software development, and applied AI delivery. Operating in a forward-deployed capacity, this role works directly with…
Added 1 day ago
Staff Data Scientist, Forward Deployed
6sense
San Francisco, CA
Forward Deployed Engineering (FDE), Predictive track, in Data Science & AI Engineering
Added 1 day ago
Sr. ML Ops Engineer, Forward-Deployed
6sense
San Francisco, CA
Forward Deployed Engineering (FDE), Predictive track, in Data Science & AI Engineering
Added 2 days ago
Director, Solutions Engineer Forward Deployed - Splunk (Remote)
Cisco
New York, NY
The Cisco-Splunk Forward Deployed Solutions Engineering (FDSE) team is an elite, hands-on technical organization that embeds directly alongside our most strategic global customers across…
Added 2 days ago
S
Senior Machine Learning Engineer–Field Engagement
Striveworks
Washington, DC · Seattle, WA · Raleigh-Durham, NC
- $160,000 to $200,000 USD / year
6+ years of experience as an ML engineer, data scientist, forward-deployed engineer, or in a similar hands-on technical role, ideally with direct customer exposure

Amazon Web Services, Inc.

Senior Forward Deployed Engineer (Model Customization and Optimization)

Boston, MA, United States
Arlington, VA, United States
Seattle, WA, United States
New York, NY, United States
East Palo Alto, CA, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 27, 2026

Original job description

As a Senior Forward Deployed Engineer (Senior FDE) on the Custom Model and Optimization team, you are the technical lead embedded inside a strategic customer, accountable for building, optimizing, and running the custom generative AI models at the heart of their business. You set the technical direction for model customization and optimization engagements, deciding what to build, how to measure it, and how it reaches production. You combine the technical depth of an AWS senior engineer with the urgency of a startup builder, using your judgment and ownership to deliver measurable business outcomes in quality, latency, and cost.

Senior FDEs work on the hardest problems where models meet systems: building domain foundation models, post-training frontier-scale open-weight models with reinforcement learning, and migrating large training and inference workloads onto AWS Trainium. They take on problems where the business problem itself is ambiguous, define the approach, and break it into workstreams others can own. They make long-term architectural trade-offs, balance customer urgency against sustainable design, and are trusted by customer engineering leadership as a technical peer. They raise the bar for the team through design reviews, code reviews, mentorship, and hiring, and they shape how AWS builds.

Key job responsibilities Lead the technical engagement: Embed with the customer as the technical lead for their model customization and optimization program, spanning multiple workstreams. Partner with customer engineering and product leadership to frame the business problem, define success metrics and the evaluation bar, and set technical roadmap that moves from proof of value to production. Communicate trade-offs, risks, and results clearly to executives and engineers alike. Requires up to 25% travel.

Define the customization strategy: Decide the right path to the customer's quality, latency, and cost targets - prompting, distillation, supervised fine-tuning, preference optimization, reinforcement learning (including RL with verifiable rewards and multi-turn agentic RL), continued pre-training, task-specific adapters, or building a domain foundation model. Own the data strategy, synthetic data generation, and evaluation methodology that make those decisions defensible, and drive them to production for patterns such as coding agents, vertical foundation models, and multi-adapter serving.

Architect training and inference systems at scale: Design distributed training and RL post-training systems for large dense and mixture-of-experts models using frameworks such as PyTorch FSDP2, Megatron-LM, Miles, and verl, and production inference architectures using engines such as SGLang and vLLM. Architect RL interaction harnesses using frameworks such as NeMo Gym and OpenEnv, defining how agent workflows, tools, environments, and reward functions connect to training and evaluation. Set parallelism, precision, and serving strategies that balance throughput, latency, memory, reliability, and cost per token, and ensure the designs hold up under production load.

Lead optimization on AWS AI chips: Lead migrations of training and inference workloads to AWS Trainium using the AWS Neuron SDK. Diagnose performance and accuracy-parity gaps against GPU baselines, direct kernel-level optimization where it matters, and work with AWS Neuron and service teams to close capability gaps. Turn benchmark evidence into recommendations that shape customer infrastructure and capacity decisions.

Lead, mentor, and raise the bar: Provide technical leadership to a team of FDEs and scientists on the engagement, breaking ambiguous problems into well-scoped workstreams and unblocking others. Mentor FDE IIs on model systems design and production ownership. Lead design reviews, provide high-judgment code review, and actively participate in hiring and interviewing.

Multiply impact across AWS: Identify patterns across engagements and turn them into reusable fine-tuning recipes, evaluation frameworks, benchmarking tools, and reference architectures adopted by other teams. Influence the roadmaps of AWS services, including Amazon Bedrock, Amazon SageMaker AI, and AWS Neuron, with field evidence. Identify and shape opportunities to expand model customization and optimization within your customer and across similar customers.

Oversee engagement execution: Own the delivery plan, set milestones, track progress against deadlines, and ensure the quality and completeness of all deliverables. Hold yourself and the team accountable for commitments made to the customer, escalate risks early, and adjust scope or resources when timelines are at risk.

About the team Team

The Custom Models & Optimization team, part of the AWS Forward Deployed Engineering team, partners with enterprises, AI-native startups, and foundation model providers to build, customize, and optimize generative AI models at scale. Our work spans domain foundation models, post-training of open-weight models, and moving training and inference onto AWS Trainium. As embedded engineers within the AWS Forward Deployed Engineering motion, we bring deep model and optimization expertise to customers' most strategic AI workloads, and we turn what we learn into tooling and patterns that scale across AWS.

ABOUT AWS:

Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

10047 Basic qualifications

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Hands-on experience training, fine-tuning, or optimizing deep learning models
Experience communicating technical concepts to both technical and non-technical audiences, including senior leadership Preferred qualifications
Bachelor's degree in computer science or equivalent
2+ years of experience deploying and operating ML models in customer production environments, working with teams that build and scale end-to-end production systems
Experience defining evaluation strategy and building evaluation frameworks or benchmarks for generative models
Experience leading optimization of model training or inference for latency, throughput, or cost, using serving engines such as SGLang, vLLM, or TensorRT-LLM, on AWS Trainium (Neuron SDK), on AWS services such as SageMaker AI, SageMaker HyperPod, or EKS, or by writing custom kernels (CUDA, Triton, NKI)
Experience leading LLM post-training efforts, including SFT, DPO, RLHF, and RL with verifiable rewards or multi-turn agentic RL, using frameworks such as Miles, slime, verl, NeMo-RL, OpenRLHF, SkyRL, or TRL
Experience leading large-scale distributed training of LLMs, including mixture-of-experts models, on multi-node accelerator clusters, using frameworks such as PyTorch FSDP2, TorchTitan, Megatron-LM/Megatron Core, NeMo, DeepSpeed, or NeuronX Distributed

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, East Palo Alto - 193,300.00 - 261,500.00 USD annually USA, MA, Boston - 168,100.00 - 227,400.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, VA, Arlington - 168,100.00 - 227,400.00 USD annually USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

Apply About employer

More about this job

Skills

AWS
PyTorch
Software development
Deep learning
Computer science
ML
Customer service
Recruitment
Mental health

Report this job