Entry Level Forward Deployed AI Scientist Jobs
New grad forward deployed ai scientist jobs attract recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site roles across Technology & Software, Consulting & Professional Services, and Artificial Intelligence, with employers like Palantir Technologies, Deloitte, and HappyRobot hiring at this level now.
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Showing 5 of 74+ Entry Level Forward Deployed AI Scientist 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 AI Scientist Job Market
Who's Hiring
- Palantir Technologies14
- Deloitte7
- HappyRobot5
- Snorkel AI4
- Tiger Analytics4
Top Industries Hiring
- Technology & Software48
- Consulting & Professional Services17
- Artificial Intelligence9
- Investment & Asset Management8
- Accounting & Auditing7
Entry Level Forward Deployed AI Scientist Jobs: Frequently Asked Questions
How do I get an entry level forward deployed ai scientist job?
Build hands-on experience through internships, capstone projects, or open-source contributions that show you can deploy AI solutions in real customer environments. Employers at this level look for candidates who understand machine learning fundamentals, can communicate technical findings clearly to non-technical stakeholders, and have worked with Python or similar tools in a practical setting. A strong project portfolio often carries more weight than years on a resume.
Which companies hire entry level forward deployed ai scientists?
Companies hiring entry level forward deployed ai scientists right now include Palantir Technologies, Deloitte, and HappyRobot, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from enterprise technology firms, AI-focused startups, and large organizations building out applied AI teams that place junior scientists directly alongside clients or internal business units.
Are there remote entry level forward deployed ai scientist jobs?
Yes, though many postings at this level are on-site or hybrid given the client-facing nature of the role. About 20% of entry level forward deployed ai scientist openings are remote or hybrid as of November 2026, so candidates who prefer flexibility still have meaningful options to pursue while also considering on-site positions that offer stronger early mentorship.
Are these new grad forward deployed ai scientist jobs?
Yes, many of these postings are new grad and junior roles that explicitly welcome recent graduates and candidates with little or no professional experience. A new grad-friendly posting typically accepts zero to two years of experience, counts internships or co-ops toward that requirement, and considers a strong academic project portfolio as equivalent to work history. Look for language like 'entry level', 'new grad', or 'early career' in the job description.
Which industries hire the most entry level forward deployed ai scientists?
Entry Level forward deployed ai scientist roles concentrate in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively scaling AI adoption and need junior scientists who can work directly with clients or internal teams to implement and iterate on models in production environments.