Entry Level Forward Deployed Engineer Jobs
New grad forward deployed engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a lengthy resume. Most openings are on-site roles across Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with employers like Palantir Technologies, Deloitte, and HappyRobot hiring at this level now.
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Showing 5 of 63+ Entry Level Forward Deployed Engineer jobs
Why NinjaTech AI
We are building the unmetered intelligence workforce: autonomous AI agents that do real, end-to-end work for enterprises instead of just answering questions. Since founding in 2022 we have gone from research to agents running production workloads inside real companies, on secure, isolated infrastructure, backed by SRI International, DCVC, and Candou Ventures. This is a small, senior team moving at startup speed on one of the most consequential problems in technology, and the Applied AI Engineer sits at the sharpest edge of it: your work lands in front of real customers in weeks, not quarters, and directly shapes how the world's most demanding enterprises adopt agentic AI. If you want the shortest possible line between what you build and the outcomes it creates, this is a rare seat.
Why this role exists
When we close a large enterprise deal, the contract is the start of the hard part, not the end. The customer has bought an outcome, an "unmetered intelligence workforce" doing real work inside their business, and someone has to make that outcome real, fast, inside their systems, their security constraints, and their messy data. That someone is the Applied AI Engineer. We attach an Applied AI Engineer to every large enterprise account. They embed with the customer, build the first high-value agentic workflows on our platform, and own technical success from kickoff through go-live and expansion. The Applied AI Engineer is how a signed contract becomes a renewed and expanded one.
What You'll Own
- Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their operations and data, and stand up the first production agent workflows on NinjaTech in weeks, not quarters.
- Build custom, tailored solutions. Wire our platform into the customer's real systems (their data sources, identity, ticketing, CRMs, internal APIs) and build the bespoke automations, prompts, tools, and guardrails that make agents useful for their jobs-to-be-done.
- Be the technical face of NinjaTech in the room. Run working sessions with everyone from the customer's frontline operators to their CISO and CTO. Translate their vision into an architecture, and translate our platform into their language.
- Drive adoption and expansion. A deployment that isn't used doesn't renew. Instrument usage, hunt for the next high-value workflow, and turn a beachhead into an org-wide rollout. Your success metric is customer outcomes that drive net revenue retention.
- Clear enterprise gauntlets. Own the technical side of security review, isolated-VM/data-residency requirements, SSO/SCIM, SOC 2 / DPA questionnaires, and procurement's technical due diligence.
- Close the loop to Product. You see what breaks in the field first. Feed sharp, prioritized signal back to core engineering; occasionally upstream a fix or a reusable component so the next deployment is faster.
What We Require
- Engineering background. You're a genuine builder. Proficient in Python and at least one of TypeScript/JavaScript, Java, or Go; comfortable across data plumbing, APIs, and a bit of front-end when a demo needs it.
- Genuine curiosity about agentic AI and LLM systems: prompt/tool design, evals, orchestration, guardrails, and the failure modes of agents in production. You don't need to have built them at scale, but you should be hungry to.
- Data fluency. You can wrangle messy, large-scale, real-world data and reason about storage, pipelines, and cloud infrastructure.
- Executive presence and operator empathy. You can hold a credible technical conversation with a CTO and sit with a frontline user to understand their actual workflow. You listen before you build.
- Bias to ship. You move with speed and precision, iterate with users, and are energized (not frustrated) by evolving objectives.
- Willingness to travel up to ~25% to customer sites, and to be onsite in the Bay Area with the core team.
What We Value (nice-to-haves)
- Experience integrating into regulated or security-sensitive enterprise environments (isolated VMs, on-prem/VPC, SOC 2, HIPAA, FedRAMP-adjacent).
- Prior forward-deployed / solutions-engineering / delivery experience at an enterprise-software or infra company.
- A track record of turning a first deployment into a much larger footprint.
Compensation & Logistics
- Base range $80K to $120K depending on level and experience, plus meaningful equity and a delivery/expansion-linked bonus.
- Onsite in the Bay Area with the core team; ~25% travel to customer sites.
- Full benefits (medical / dental / vision, etc.).
Equal opportunity
NinjaTech AI is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment.
Why NinjaTech AI
We are building the unmetered intelligence workforce: autonomous AI agents that do real, end-to-end work for enterprises instead of just answering questions. Since founding in 2022 we have gone from research to agents running production workloads inside real companies, on secure, isolated infrastructure, backed by SRI International, DCVC, and Candou Ventures. This is a small, senior team moving at startup speed on one of the most consequential problems in technology, and the Applied AI Engineer sits at the sharpest edge of it: your work lands in front of real customers in weeks, not quarters, and directly shapes how the world's most demanding enterprises adopt agentic AI. If you want the shortest possible line between what you build and the outcomes it creates, this is a rare seat.
Why this role exists
When we close a large enterprise deal, the contract is the start of the hard part, not the end. The customer has bought an outcome, an "unmetered intelligence workforce" doing real work inside their business, and someone has to make that outcome real, fast, inside their systems, their security constraints, and their messy data. That someone is the Applied AI Engineer. We attach an Applied AI Engineer to every large enterprise account. They embed with the customer, build the first high-value agentic workflows on our platform, and own technical success from kickoff through go-live and expansion. The Applied AI Engineer is how a signed contract becomes a renewed and expanded one.
What You'll Own
- Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their operations and data, and stand up the first production agent workflows on NinjaTech in weeks, not quarters.
- Build custom, tailored solutions. Wire our platform into the customer's real systems (their data sources, identity, ticketing, CRMs, internal APIs) and build the bespoke automations, prompts, tools, and guardrails that make agents useful for their jobs-to-be-done.
- Be the technical face of NinjaTech in the room. Run working sessions with everyone from the customer's frontline operators to their CISO and CTO. Translate their vision into an architecture, and translate our platform into their language.
- Drive adoption and expansion. A deployment that isn't used doesn't renew. Instrument usage, hunt for the next high-value workflow, and turn a beachhead into an org-wide rollout. Your success metric is customer outcomes that drive net revenue retention.
- Clear enterprise gauntlets. Own the technical side of security review, isolated-VM/data-residency requirements, SSO/SCIM, SOC 2 / DPA questionnaires, and procurement's technical due diligence.
- Close the loop to Product. You see what breaks in the field first. Feed sharp, prioritized signal back to core engineering; occasionally upstream a fix or a reusable component so the next deployment is faster.
What We Require
- Engineering background. You're a genuine builder. Proficient in Python and at least one of TypeScript/JavaScript, Java, or Go; comfortable across data plumbing, APIs, and a bit of front-end when a demo needs it.
- Genuine curiosity about agentic AI and LLM systems: prompt/tool design, evals, orchestration, guardrails, and the failure modes of agents in production. You don't need to have built them at scale, but you should be hungry to.
- Data fluency. You can wrangle messy, large-scale, real-world data and reason about storage, pipelines, and cloud infrastructure.
- Executive presence and operator empathy. You can hold a credible technical conversation with a CTO and sit with a frontline user to understand their actual workflow. You listen before you build.
- Bias to ship. You move with speed and precision, iterate with users, and are energized (not frustrated) by evolving objectives.
- Willingness to travel up to ~25% to customer sites, and to be onsite in the Bay Area with the core team.
What We Value (nice-to-haves)
- Experience integrating into regulated or security-sensitive enterprise environments (isolated VMs, on-prem/VPC, SOC 2, HIPAA, FedRAMP-adjacent).
- Prior forward-deployed / solutions-engineering / delivery experience at an enterprise-software or infra company.
- A track record of turning a first deployment into a much larger footprint.
Compensation & Logistics
- Base range $80K to $120K depending on level and experience, plus meaningful equity and a delivery/expansion-linked bonus.
- Onsite in the Bay Area with the core team; ~25% travel to customer sites.
- Full benefits (medical / dental / vision, etc.).
Equal opportunity
NinjaTech AI is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment.
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Find JobsEntry Level Forward Deployed Engineer Job Market
Who's Hiring
- Palantir Technologies10
- Deloitte7
- HappyRobot4
- Tiger Analytics4
- Jobot3
Top Industries Hiring
- Technology & Software40
- Consulting & Professional Services15
- Investment & Asset Management8
- Accounting & Auditing7
- Artificial Intelligence6
Entry Level Forward Deployed Engineer Jobs: Frequently Asked Questions
How do I get an entry level forward deployed engineer job?
Employers hiring at the entry level look for candidates who can demonstrate hands-on technical work, whether through internships, capstone projects, or self-built tools. Comfort with customer-facing communication matters as much as engineering ability in these roles, since forward deployed engineers work directly with clients. Highlighting any experience translating technical concepts for non-technical audiences gives early-career candidates a meaningful edge.
Which companies hire entry level forward deployed engineers?
Companies hiring entry level forward deployed engineers right now include Palantir Technologies, Deloitte, and HappyRobot, based on current listings on Migrate Mate as of November 2026. The mix tends to include high-growth technology companies and enterprise software vendors that rely on embedded technical teams to implement and support their products at customer sites.
Are there remote entry level forward deployed engineer jobs?
Yes, though on-site and hybrid arrangements are common at this level given the client-facing nature of the work. About 24% of entry level forward deployed engineer openings are remote or hybrid as of November 2026, so opportunities exist across both models depending on the employer and the type of deployment involved.
Are these new grad forward deployed engineer jobs?
Yes, many of these roles are new grad and junior positions suited to recent graduates entering the field for the first time. A new grad friendly posting typically welcomes zero to two years of experience and accepts internships, academic projects, or a portfolio in place of full-time work history. Look for listings that mention training programs or mentorship as a sign the employer is set up to develop early-career hires.
Which industries hire the most entry level forward deployed engineers?
Entry Level forward deployed engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their products require deep technical integration at the customer site, creating steady demand for early-career engineers who can support implementations alongside more senior teams.