Senior Forward Deployed Engineer Jobs in USA with Visa Sponsorship
Senior Forward Deployed Engineers work on-site with enterprise clients, translating complex technical solutions into real-world deployments. Roles at this level routinely qualify for H-1B visa and O-1 visa sponsorship, with employers in fintech, defense tech, and AI infrastructure among the most active sponsors. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsLocation: New York, Atlanta, Boston, Charlotte, Chicago, Grandview Heights, Hoboken, and Philadelphia
Salary: Competitive
Date: Nov 9, 2026
Job description
Requisition ID: 1759793
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Role Summary
We are seeking a Forward Deployed Engineering (FDE) Transformation Lead to help clients solve complex business challenges through technology. This leader will operate at the intersection of strategy, engineering, and consulting, working directly with business and technology executives to shape transformation agendas, build scalable solutions, and deliver measurable business outcomes.
The ideal candidate combines deep technology expertise with strong business acumen. They can translate strategic priorities into executable roadmaps, lead multidisciplinary teams through delivery, and identify opportunities to expand client value and grow the business.
Key Responsibilities
- Lead business and technology transformation initiatives from strategy through execution and value realization.
- Partner with executive stakeholders to define business priorities, transformation roadmaps, and investment strategies.
- Shape and oversee solution architecture across cloud, data, AI, digital, and platform engineering domains.
- Align business objectives, operating models, and technology solutions to drive measurable outcomes.
- Lead cross-functional teams spanning product, engineering, architecture, and business stakeholders.
- Establish governance, delivery frameworks, success metrics, and outcome tracking.
- Build trusted relationships with senior client executives and become a strategic advisor on technology-led transformation.
- Identify new opportunities, shape follow-on engagements, and contribute to account growth and market development.
- Mentor managers, architects, and engineers while building high-performing teams.
Forward Deployed Engineering Requirements
- Proven experience leading large, client-facing technology programs and working directly with executive, business, and technology stakeholders in ambiguous environments.
- Demonstrated ability to connect business strategy to architecture, engineering execution, operating-model change, user adoption, and measurable outcomes.
- Experience leading multiple workstreams and multidisciplinary teams, managing dependencies, and coordinating delivery across client and consulting organizations.
- Strong technical foundation in enterprise architecture, modern software engineering, cloud platforms, data ecosystems, AI/GenAI, and enterprise integration.
- Experience guiding the design and delivery of production AI/ML or generative AI solutions, with attention to evaluation, security, reliability, operational readiness, and business value.
- Working knowledge of AI application frameworks such as Google ADK, LangChain, or LangGraph, with the judgment to guide framework and architecture choices for a use case and client environment.
- Experience overseeing API, data-service, event-driven, and asynchronous integration patterns; familiarity with Apache Kafka or comparable messaging platforms.
- Ability to review engineering implementation in Python, Java, TypeScript, or comparable languages, including source control, code review, automated testing, and CI/CD practices.
- Experience guiding deployments and issue resolution in client cloud, on-premises, or hybrid environments, including security, integration, data readiness, and operational constraints.
- Strong executive communication, workshop facilitation, influencing, negotiation, and client relationship skills.
- Track record of contributing to account growth through opportunity identification, solution shaping, proposal development, or pursuit leadership.
- Experience developing managers and technical leaders and building teams that can deliver across multiple workstreams.
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.
- Recommended experience profile: 12+ years in technology, engineering, architecture, or consulting roles, including 5+ years leading teams, programs, or client delivery. Equivalent combinations of experience may be considered.
AI and Engineering Skills
GenAI and AI Transformation
- Ability to identify where AI and intelligent automation can address business needs; define value hypotheses, feasibility criteria, and appropriate human oversight.
- Experience shaping production LLM solutions and their end-to-end lifecycle, from data and knowledge sources through model output delivery (for example, Azure OpenAI, AWS Bedrock, or Google Vertex AI).
- Understanding of retrieval-augmented systems, including source integration, chunking, embeddings, retrieval, grounding, and quality trade-offs (for example, LangChain, LlamaIndex, Azure AI Search, pgvector, Pinecone, or Weaviate).
- Understanding of prompt design, structured outputs, and systematic evaluation and iteration (for example, DSPy or PromptFlow).
- Ability to assess agentic patterns, tool use, orchestration, memory, workflow boundaries, and the conditions where simpler deterministic approaches are appropriate.
Agentic Systems, Quality, and Operations
- Experience guiding agentic systems and multi-step workflows, including orchestration, tool integration, state management, retries, fallbacks, and failure handling (for example, LangGraph, AutoGen, CrewAI, Semantic Kernel, or comparable frameworks).
- Ability to establish evaluation approaches covering functional correctness, output quality, safety, and business-defined measures (for example, RAGAS, DeepEval, or Arize Phoenix).
- Understanding of production support for AI systems, including tracing, observability, degradation detection, behavioral drift, incident response, and human escalation.
- Ability to guide model and platform choices based on latency, throughput, scalability, security, and cost.
Software, Cloud, and Integration Engineering
- Strong working knowledge of software architecture and engineering practices for secure, modular, testable, maintainable systems.
- Ability to review designs involving APIs, service boundaries, event-driven patterns, data flows, and enterprise integrations.
- Familiarity with containerization and cloud deployment patterns (for example, Docker, Kubernetes, Azure Container Apps, or AWS ECS).
- Experience guiding teams that prepare and use structured and unstructured data for AI workloads, including data quality, readiness, and validation.
- Familiarity with AI-assisted engineering tools such as Claude Code, Codex, or GitHub Copilot, including the controls needed for responsible use.
Leadership and Additional Attributes for Success
- Takes accountability for client outcomes, program delivery, technical quality, and team effectiveness.
- Builds executive trust and explains technology choices, risks, and trade-offs in business terms.
- Sets direction in ambiguous, fast-moving environments and gives teams clarity on priorities and decisions.
- Balances strategic leadership with practical engineering judgment and remains engaged in critical implementation decisions.
- Leads through influence across business, product, architecture, engineering, data, risk, legal, compliance, and audit stakeholders.
- Coaches and develops leaders, creates opportunities for delegation, and builds teams that can scale delivery.
- Applies sound judgment in regulated environments, including awareness of security, privacy, responsible AI, human oversight, and operational controls.
- Demonstrates commercial judgment and contributes to sustainable client relationships and account growth.
Required Qualifications:
- Proven experience leading large-scale business and technology transformation programs.
- Strong understanding of enterprise architecture, cloud platforms, data ecosystems, AI/GenAI, and modern engineering practices.
- Demonstrated ability to deliver measurable business outcomes through technology investments.
- Experience leading complex programs involving multiple stakeholders, teams, and workstreams.
- Strong executive communication, stakeholder management, and influencing skills.
- Track record of developing trusted client relationships and expanding account opportunities.
- Commercial mindset with experience identifying, shaping, and growing new business opportunities.
What Success Looks Like
A successful Forward Deployed Engineer is equally comfortable in a business stakeholder workshop, a solution design workshop, or an engineering review. They turn business challenges into scalable solutions, deliver tangible outcomes, and create opportunities for continued growth.
- Clients achieve measurable business outcomes through technology-enabled transformation.
- Complex business challenges are translated into scalable, sustainable solutions.
- Trusted executive relationships are established across client organizations.
- New opportunities are identified and converted into expanded client value and business growth.
- Teams are developed, coached, and positioned to operate with increasing scale and impact.
What we offer you
At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- The salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400
- Bay Area California offices – $189,400 to $393,200
- All other offices locations in the US, including Sacramento – $151,500 to $346,000
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Are you ready to shape your future with confidence? Apply today.
- To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an ongoing basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
Location: New York, Atlanta, Boston, Charlotte, Chicago, Grandview Heights, Hoboken, and Philadelphia
Salary: Competitive
Date: Nov 9, 2026
Job description
Requisition ID: 1759793
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Role Summary
We are seeking a Forward Deployed Engineering (FDE) Transformation Lead to help clients solve complex business challenges through technology. This leader will operate at the intersection of strategy, engineering, and consulting, working directly with business and technology executives to shape transformation agendas, build scalable solutions, and deliver measurable business outcomes.
The ideal candidate combines deep technology expertise with strong business acumen. They can translate strategic priorities into executable roadmaps, lead multidisciplinary teams through delivery, and identify opportunities to expand client value and grow the business.
Key Responsibilities
- Lead business and technology transformation initiatives from strategy through execution and value realization.
- Partner with executive stakeholders to define business priorities, transformation roadmaps, and investment strategies.
- Shape and oversee solution architecture across cloud, data, AI, digital, and platform engineering domains.
- Align business objectives, operating models, and technology solutions to drive measurable outcomes.
- Lead cross-functional teams spanning product, engineering, architecture, and business stakeholders.
- Establish governance, delivery frameworks, success metrics, and outcome tracking.
- Build trusted relationships with senior client executives and become a strategic advisor on technology-led transformation.
- Identify new opportunities, shape follow-on engagements, and contribute to account growth and market development.
- Mentor managers, architects, and engineers while building high-performing teams.
Forward Deployed Engineering Requirements
- Proven experience leading large, client-facing technology programs and working directly with executive, business, and technology stakeholders in ambiguous environments.
- Demonstrated ability to connect business strategy to architecture, engineering execution, operating-model change, user adoption, and measurable outcomes.
- Experience leading multiple workstreams and multidisciplinary teams, managing dependencies, and coordinating delivery across client and consulting organizations.
- Strong technical foundation in enterprise architecture, modern software engineering, cloud platforms, data ecosystems, AI/GenAI, and enterprise integration.
- Experience guiding the design and delivery of production AI/ML or generative AI solutions, with attention to evaluation, security, reliability, operational readiness, and business value.
- Working knowledge of AI application frameworks such as Google ADK, LangChain, or LangGraph, with the judgment to guide framework and architecture choices for a use case and client environment.
- Experience overseeing API, data-service, event-driven, and asynchronous integration patterns; familiarity with Apache Kafka or comparable messaging platforms.
- Ability to review engineering implementation in Python, Java, TypeScript, or comparable languages, including source control, code review, automated testing, and CI/CD practices.
- Experience guiding deployments and issue resolution in client cloud, on-premises, or hybrid environments, including security, integration, data readiness, and operational constraints.
- Strong executive communication, workshop facilitation, influencing, negotiation, and client relationship skills.
- Track record of contributing to account growth through opportunity identification, solution shaping, proposal development, or pursuit leadership.
- Experience developing managers and technical leaders and building teams that can deliver across multiple workstreams.
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.
- Recommended experience profile: 12+ years in technology, engineering, architecture, or consulting roles, including 5+ years leading teams, programs, or client delivery. Equivalent combinations of experience may be considered.
AI and Engineering Skills
GenAI and AI Transformation
- Ability to identify where AI and intelligent automation can address business needs; define value hypotheses, feasibility criteria, and appropriate human oversight.
- Experience shaping production LLM solutions and their end-to-end lifecycle, from data and knowledge sources through model output delivery (for example, Azure OpenAI, AWS Bedrock, or Google Vertex AI).
- Understanding of retrieval-augmented systems, including source integration, chunking, embeddings, retrieval, grounding, and quality trade-offs (for example, LangChain, LlamaIndex, Azure AI Search, pgvector, Pinecone, or Weaviate).
- Understanding of prompt design, structured outputs, and systematic evaluation and iteration (for example, DSPy or PromptFlow).
- Ability to assess agentic patterns, tool use, orchestration, memory, workflow boundaries, and the conditions where simpler deterministic approaches are appropriate.
Agentic Systems, Quality, and Operations
- Experience guiding agentic systems and multi-step workflows, including orchestration, tool integration, state management, retries, fallbacks, and failure handling (for example, LangGraph, AutoGen, CrewAI, Semantic Kernel, or comparable frameworks).
- Ability to establish evaluation approaches covering functional correctness, output quality, safety, and business-defined measures (for example, RAGAS, DeepEval, or Arize Phoenix).
- Understanding of production support for AI systems, including tracing, observability, degradation detection, behavioral drift, incident response, and human escalation.
- Ability to guide model and platform choices based on latency, throughput, scalability, security, and cost.
Software, Cloud, and Integration Engineering
- Strong working knowledge of software architecture and engineering practices for secure, modular, testable, maintainable systems.
- Ability to review designs involving APIs, service boundaries, event-driven patterns, data flows, and enterprise integrations.
- Familiarity with containerization and cloud deployment patterns (for example, Docker, Kubernetes, Azure Container Apps, or AWS ECS).
- Experience guiding teams that prepare and use structured and unstructured data for AI workloads, including data quality, readiness, and validation.
- Familiarity with AI-assisted engineering tools such as Claude Code, Codex, or GitHub Copilot, including the controls needed for responsible use.
Leadership and Additional Attributes for Success
- Takes accountability for client outcomes, program delivery, technical quality, and team effectiveness.
- Builds executive trust and explains technology choices, risks, and trade-offs in business terms.
- Sets direction in ambiguous, fast-moving environments and gives teams clarity on priorities and decisions.
- Balances strategic leadership with practical engineering judgment and remains engaged in critical implementation decisions.
- Leads through influence across business, product, architecture, engineering, data, risk, legal, compliance, and audit stakeholders.
- Coaches and develops leaders, creates opportunities for delegation, and builds teams that can scale delivery.
- Applies sound judgment in regulated environments, including awareness of security, privacy, responsible AI, human oversight, and operational controls.
- Demonstrates commercial judgment and contributes to sustainable client relationships and account growth.
Required Qualifications:
- Proven experience leading large-scale business and technology transformation programs.
- Strong understanding of enterprise architecture, cloud platforms, data ecosystems, AI/GenAI, and modern engineering practices.
- Demonstrated ability to deliver measurable business outcomes through technology investments.
- Experience leading complex programs involving multiple stakeholders, teams, and workstreams.
- Strong executive communication, stakeholder management, and influencing skills.
- Track record of developing trusted client relationships and expanding account opportunities.
- Commercial mindset with experience identifying, shaping, and growing new business opportunities.
What Success Looks Like
A successful Forward Deployed Engineer is equally comfortable in a business stakeholder workshop, a solution design workshop, or an engineering review. They turn business challenges into scalable solutions, deliver tangible outcomes, and create opportunities for continued growth.
- Clients achieve measurable business outcomes through technology-enabled transformation.
- Complex business challenges are translated into scalable, sustainable solutions.
- Trusted executive relationships are established across client organizations.
- New opportunities are identified and converted into expanded client value and business growth.
- Teams are developed, coached, and positioned to operate with increasing scale and impact.
What we offer you
At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- The salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400
- Bay Area California offices – $189,400 to $393,200
- All other offices locations in the US, including Sacramento – $151,500 to $346,000
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Are you ready to shape your future with confidence? Apply today.
- To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an ongoing basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
See all 76+ Senior Forward Deployed Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Forward Deployed Engineer
Target companies with active H-1B filing histories
Forward deployed engineering roles are concentrated at companies that file H-1Bs regularly. Prioritize employers with consistent sponsorship track records rather than assuming any tech company will sponsor. Past filing behavior is the strongest signal of future willingness.
Frame your degree as a specialty occupation match
USCIS requires a direct connection between your degree field and the role. Computer science, software engineering, and applied mathematics degrees map cleanly. If your degree is adjacent, document how coursework and experience directly support the forward deployment function.
Emphasize client-facing technical scope in your resume
Sponsoring attorneys build the specialty occupation case from your job description. Resumes that detail enterprise integration work, technical architecture decisions, and cross-functional leadership give immigration counsel stronger evidence than generic engineering bullet points.
Ask about sponsorship scope before accepting an offer
Some employers sponsor H-1B transfers but won't initiate a new cap-subject petition. Clarify whether the company supports initial H-1B filings, cap-exempt transfers, or both before signing. This distinction matters significantly depending on your current visa status.
Consider O-1A if H-1B lottery odds concern you
Senior engineers with published work, speaking credits, high compensation relative to peers, or recognition awards may qualify for O-1A. Unlike H-1B, O-1A is not subject to a lottery and can be filed at any time of year.
Understand the LCA requirement before your start date
Your employer must file a Labor Condition Application with the Department of Labor before your H-1B petition is submitted. Confirm your hiring team knows this timeline. Delays in LCA certification push back your legal start date and can complicate onboarding logistics.
Frequently Asked Questions
Does a Senior Forward Deployed Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS defines a specialty occupation as one requiring a bachelor's degree or higher in a specific field. Senior Forward Deployed Engineer roles typically require a degree in computer science, software engineering, or a related technical discipline, and the client-facing technical complexity strengthens the specialty occupation argument. Roles that list a degree as preferred rather than required can create problems, so job description language matters.
Which visa types do employers typically sponsor for this role?
H-1B visa is the most common pathway for Senior Forward Deployed Engineers. Employers in defense tech or with government contracts may also support H-1B cap-exempt filings through qualifying research institutions. Candidates with demonstrated peer recognition, high compensation, or published technical contributions may qualify for O-1A, which bypasses the H-1B lottery entirely. L-1A is an option if you're transferring from an overseas office of the same company.
How competitive is H-1B sponsorship for this specific role?
Forward deployed engineering is a high-value, specialized function that most employers won't offshore easily, which increases their willingness to sponsor. The bottleneck is the H-1B lottery, not employer hesitation. In recent fiscal years, selection rates have been around 25%, meaning multiple registration cycles are common. Companies in fintech, AI infrastructure, and enterprise software tend to be consistent H-1B filers for roles at this seniority level.
Do I need a four-year degree, or can work experience substitute?
USCIS allows three years of specialized work experience to substitute for one year of formal education, meaning 12 years of directly relevant experience can stand in for a four-year degree. However, this substitution is harder to defend for H-1B specialty occupation claims than an actual degree. If your degree is a three-year international bachelor's, it's generally accepted as equivalent to a U.S. four-year degree when evaluated by a credentials assessor.
Where can I find Senior Forward Deployed Engineer jobs that offer visa sponsorship?
Migrate Mate filters specifically for roles open to visa sponsorship, so you're not sorting through listings that exclude international candidates. Senior Forward Deployed Engineer positions on Migrate Mate span enterprise software, AI platforms, and fintech, sectors where employers actively file H-1B petitions and have established immigration support processes for new hires.
What is the prevailing wage requirement for sponsored Senior Forward Deployed Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.