Forward Deployed Engineering Jobs
Forward Deployed Engineering jobs are open across enterprise software, defense, fintech, and AI, from new-grad to staff and principal levels, with specializations in solutions engineering, technical account management, and customer-facing product deployment. Find a role that fits from the openings below and apply directly.
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Showing 5 of 354+ Forward Deployed Engineering jobs
SUMMARY
This position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager.
ABOUT THE ROLE
The Strategy, Platforms & Transformation team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We work within the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. This role is crucial in driving AI transformation by bringing the best in AI and tech to unlock opportunities for growth and improve patient outcomes.
The Executive Director, AI Forward Deployed Engineering Lead will lead the engineering delivery of agentic AI solutions embedded within business functions, with responsibility across solution architecture, development, implementation, operations, and continuous improvement. This role will be critical to transforming existing processes, products, and services into agentic AI products and intelligent workflows by partnering closely with business teams to design and deploy practical, scalable solutions that address high value use cases. The ideal candidate will bring strong engineering leadership, solution orientation, and cross functional execution skills to guide the development of fit for purpose AI applications, oversee deployment into real world operating environments, and ensure solutions are reliable, maintainable, and aligned with enterprise standards. Working closely with product leaders, platform teams, data partners, business stakeholders, and transformation leaders, this role will help accelerate AI adoption, drive measurable business impact, and ensure solutions continuously evolve based on operational feedback and emerging needs.
MAJOR ACCOUNTABILITIES
- Define and lead the engineering strategy, delivery model, and execution approach for forward deployed agentic AI solutions across business functions.
- Oversee the design, development, implementation, and ongoing support of AI solutions that transform business processes and products into agentic workflows.
- Partner directly with business stakeholders, product teams, and domain experts to identify requirements, shape technical solutions, and ensure adoption in operational environments.
- Lead engineering teams in building, deploying, and maintaining scalable, reliable, and user centered AI applications aligned with enterprise architecture and standards.
- Drive integration of AI solutions with existing systems, data sources, workflows, and operational processes to enable effective end to end execution.
- Establish engineering practices, support models, and feedback loops that promote quality, reliability, operational performance, and continuous improvement.
- Coordinate closely with platform, data, security, and infrastructure teams to ensure solutions leverage shared capabilities and comply with enterprise requirements.
- Communicate engineering priorities, solution progress, business impact, risks, and resource needs to senior leadership and key stakeholders.
ESSENTIAL REQUIREMENTS:
- Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field.
- 15 plus years of progressive product management experience, including significant leadership over senior product leaders, with a strong track record of defining and scaling enterprise level product strategy and execution.
- Deep expertise in AI driven product management, including experience bringing innovative data, machine learning, and generative AI products from concept to commercialization in complex enterprise environments.
- Proven people leadership and organizational development capability, with experience leading directors and senior product teams, building high performing organizations, and establishing effective product operating models and governance.
- Strong cross functional and executive influence skills, with demonstrated success partnering across Engineering, Innovation, Commercial, Data Science, and business leadership to align strategy, prioritize investments, and drive outcomes.
The salary for this position is expected to range between $225,400.00 and $418,600.00 annual per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
WHY NOVARTIS: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
BENEFITS AND REWARDS: Learn about all the ways we’ll help you thrive personally and professionally.
EEO STATEMENT:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
ACCESSIBILITY & REASONABLE ACCOMMODATIONS
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
LOCATION
Location: USA
JOB TYPE
Job Type: Full time
EMPLOYMENT TYPE
Employment Type: Regular
SHIFT WORK
Shift Work: No
SUMMARY
This position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager.
ABOUT THE ROLE
The Strategy, Platforms & Transformation team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We work within the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. This role is crucial in driving AI transformation by bringing the best in AI and tech to unlock opportunities for growth and improve patient outcomes.
The Executive Director, AI Forward Deployed Engineering Lead will lead the engineering delivery of agentic AI solutions embedded within business functions, with responsibility across solution architecture, development, implementation, operations, and continuous improvement. This role will be critical to transforming existing processes, products, and services into agentic AI products and intelligent workflows by partnering closely with business teams to design and deploy practical, scalable solutions that address high value use cases. The ideal candidate will bring strong engineering leadership, solution orientation, and cross functional execution skills to guide the development of fit for purpose AI applications, oversee deployment into real world operating environments, and ensure solutions are reliable, maintainable, and aligned with enterprise standards. Working closely with product leaders, platform teams, data partners, business stakeholders, and transformation leaders, this role will help accelerate AI adoption, drive measurable business impact, and ensure solutions continuously evolve based on operational feedback and emerging needs.
MAJOR ACCOUNTABILITIES
- Define and lead the engineering strategy, delivery model, and execution approach for forward deployed agentic AI solutions across business functions.
- Oversee the design, development, implementation, and ongoing support of AI solutions that transform business processes and products into agentic workflows.
- Partner directly with business stakeholders, product teams, and domain experts to identify requirements, shape technical solutions, and ensure adoption in operational environments.
- Lead engineering teams in building, deploying, and maintaining scalable, reliable, and user centered AI applications aligned with enterprise architecture and standards.
- Drive integration of AI solutions with existing systems, data sources, workflows, and operational processes to enable effective end to end execution.
- Establish engineering practices, support models, and feedback loops that promote quality, reliability, operational performance, and continuous improvement.
- Coordinate closely with platform, data, security, and infrastructure teams to ensure solutions leverage shared capabilities and comply with enterprise requirements.
- Communicate engineering priorities, solution progress, business impact, risks, and resource needs to senior leadership and key stakeholders.
ESSENTIAL REQUIREMENTS:
- Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field.
- 15 plus years of progressive product management experience, including significant leadership over senior product leaders, with a strong track record of defining and scaling enterprise level product strategy and execution.
- Deep expertise in AI driven product management, including experience bringing innovative data, machine learning, and generative AI products from concept to commercialization in complex enterprise environments.
- Proven people leadership and organizational development capability, with experience leading directors and senior product teams, building high performing organizations, and establishing effective product operating models and governance.
- Strong cross functional and executive influence skills, with demonstrated success partnering across Engineering, Innovation, Commercial, Data Science, and business leadership to align strategy, prioritize investments, and drive outcomes.
The salary for this position is expected to range between $225,400.00 and $418,600.00 annual per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
WHY NOVARTIS: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
BENEFITS AND REWARDS: Learn about all the ways we’ll help you thrive personally and professionally.
EEO STATEMENT:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
ACCESSIBILITY & REASONABLE ACCOMMODATIONS
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
LOCATION
Location: USA
JOB TYPE
Job Type: Full time
EMPLOYMENT TYPE
Employment Type: Regular
SHIFT WORK
Shift Work: No
See All 354+ Forward Deployed Engineering Jobs
Jump back to the full list of openings and apply to any forward deployed engineering role that fits.
Find JobsForward Deployed Engineering Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Databricks15
- Google12
- Palantir Technologies12
- Snorkel AI12
- Boston Consulting11
Top Industries Hiring
- Technology & Software211
- Consulting & Professional Services58
- Artificial Intelligence31
- Biotechnology & Pharmaceuticals10
- Fintech8
What Employers Look For
The qualifications that appear most often in forward deployed engineering jobs.
- 3 or more years of experience in customer-facing technical roles or solutions engineering
- Proficiency in at least one scripting language such as Python, Bash, or JavaScript
- Experience deploying or integrating enterprise software in production customer environments
- Strong written and verbal communication skills for technical and non-technical audiences
- Familiarity with APIs, cloud infrastructure, and modern software deployment workflows
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Forward Deployed Engineering Job Search
Quantify customer impact on your resume
Forward deployed engineers are hired for outcomes, not just technical skills. Replace vague descriptions with concrete results: how many enterprise accounts you supported, how fast you reduced deployment friction, or how much implementation time you cut.
Highlight client-facing technical communication
Hiring managers screen for engineers who can explain complex systems to non-technical stakeholders. Add examples to your resume where you translated architecture decisions or debugging processes into plain language for customers or executives.
Target companies deploying new product lines
Forward deployed roles spike at companies launching into new verticals or scaling onboarding. Filter openings by companies that recently raised funding or announced enterprise expansions, since those teams are staffing up deployment capacity first.
Apply early to roles that fit
Migrate Mate lists forward deployed engineering openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a deployment war story for interviews
Interviewers almost always ask for a specific example of a difficult customer deployment you owned end to end. Prepare one story that covers the technical problem, how you communicated with the customer under pressure, and how you resolved it.
Negotiate scope before accepting an offer
Ask what the ratio of proactive customer work to reactive firefighting looks like before you sign. Forward deployed roles vary significantly in how much time you spend on new deployments versus troubleshooting existing accounts, and that gap affects day-to-day satisfaction.
Forward Deployed Engineering Jobs: Frequently Asked Questions
Which companies are hiring the most forward deployed engineers?
The companies hiring the most forward deployed engineers right now include Databricks, Google, and Palantir Technologies, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of June 2026. Enterprise software, AI infrastructure, and defense technology companies consistently post the highest volume of these roles.
How many forward deployed engineering jobs are remote?
About 34% of forward deployed engineering openings are fully remote or hybrid as of June 2026, though a significant portion require travel to customer sites. Roles focused on technical account management and post-sale integration tend to offer the most remote flexibility, while deployment-heavy positions often require on-site presence during critical implementation phases.
How do you become a forward deployed engineer?
Start by building a foundation in software engineering or systems administration, then move into a customer-facing role such as solutions engineering or technical support. Develop the ability to run deployments independently, communicate architectural trade-offs to non-engineers, and own customer outcomes end to end. A portfolio of successful enterprise implementations carries more weight than any single credential.
Can you get hired as a forward deployed engineer with little experience?
Yes, but you need to show customer-facing problem-solving rather than just coding ability. Roles labeled associate or junior forward deployed engineer exist at companies scaling their deployment teams. Highlight any experience managing external stakeholders, leading technical onboarding, or troubleshooting production issues under pressure, even from internships, support roles, or freelance projects.
What does the forward deployed engineering interview process look like?
Most hiring processes include a recruiter screen, a technical assessment covering APIs or scripting, a system design or architecture discussion, and a customer scenario round where you walk through how you would handle a difficult deployment. Final rounds often involve a panel with both engineering and customer success stakeholders who evaluate your communication style alongside your technical depth.
Where can I find and apply to forward deployed engineering jobs?
You can find and apply to forward deployed engineering jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and location preferences, then apply directly to each one that fits.
See All 354+ Forward Deployed Engineering Jobs
Jump back to the full list of openings and apply to any forward deployed engineering role that fits.
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