Entry Level Senior Forward Deployed Engineer Jobs
New grad senior forward deployed engineer jobs are open to recent graduates and entry level candidates with little to no experience, where a strong portfolio or internship project can carry more weight than years on a 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 77+ Entry Level Senior Forward Deployed Engineer jobs
Why this role
Real assets are among the largest asset classes in the world and among the least well served by software. Cherre already has the data layer that makes AI agents viable in this industry, which almost nobody else does. You would be among the first people turning that into something clients use every day, in a function you help define. Whether that means going deeper technically or eventually leading engagements is a choice you make later, not today.
What the work actually looks like
The future of real assets is agentic. Our clients feel this shift coming, but many struggle moving from pilot into production. That gap is the job:
A fund with 40 operating partners, each sending financials on a different chart of accounts. Agents build the mapping, maintain it as partners change their own books, and onboard the next partner as the business grows, without an analyst starting over every time.
An asset management team that answers the same portfolio questions every month by hand, out of four systems, into a deck.
An owner who wants to ask a plain-English question about their portfolio and get an answer that is correct, from an agent that knows when it does not know.
The interesting problems are rarely the model. They are entity resolution, messy source systems, workflows that exist only in someone's head, and the gap between an impressive demo and something a controller will sign off on.
You will be hands on. You will also be the person in the room when a client explains their use case for the first time, and the person who decides what gets built to meet their objectives. Done is an agent reliable enough for production, handed off to whoever will run it, while you move on to their next problem.
What you will do
Embed with client teams. Map their data, decompose their processes, and define and prioritize the use cases worth building, including the parts of the workflow nobody documents. Translate those priorities into agentic solutions that create value for the business.
Architect and build. Design the approach, then build it: agent workflows, tool and data integrations, evaluation harnesses, and the plumbing connecting it to Cherre's platform. Business process becomes orchestration logic: triggers, tools, guardrails, and human checkpoints.
Own delivery end to end. From scoping through production and handoff to the teams who support it. Ship early, put it in front of real users, find out where it is wrong, and fix it.
Instrument everything you ship. Build for auditability, version control, and cost predictability. These clients operate under real financial and regulatory scrutiny, and "the agent decided" is not an acceptable answer.
Build for the second deployment while delivering the first. Decide what is worth making reusable, build it so the next client gets there faster, and feed recurring patterns back to product and engineering as templates and accelerators.
Deliver what was agreed. New use cases surface constantly. The good ones are the next engagement, not this week's extra work.
Help build the machine. As one of the first FDEs here, you will document how you work and help turn it into a process other engineers can run. How you work becomes how the function works.
What you bring
We care more about what you have done than how long you have been doing it. The experience range above is a guide, not a filter.
A record of shipping production systems inside someone else's environment, under someone else's constraints. You can walk us through one that broke, how you found out, and what you changed.
Strong hands-on engineering, and you still want to write code. We are flexible on stack; Python, SQL, APIs, and comfort in messy data environments go a long way.
You have built with LLMs well beyond a prototype, and you have opinions about what is hard: evaluation, non-determinism, context, tool design, and knowing when an agent is the wrong answer.
Judgment about where automation belongs and where a human stays in the loop.
Comfort sitting with business operators and turning how they describe their work into system design. You can hold both conversations in the same meeting: the technical tradeoff with their engineer, and the business outcome with their executive.
Fluency in real assets or financial operations: fund reporting, asset management, valuations, deal pipelines, investor reporting. You can follow a client conversation without a translator.
You work well when requirements arrive as a conversation instead of a ticket, and you know how to turn the first into the second.
- 30% domestic travel
Bonus points
Prior forward-deployed, solutions architecture, or consulting-adjacent engineering experience.
Experience with agentic orchestration and development tooling such as Claude Code, n8n, LangGraph, or Temporal.
Background in enterprise SaaS or data infrastructure serving regulated industries.
Early-stage or 0 to 1 experience where you built the process as well as the product.
SALARY AND BENEFITS
- Health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Professional development opportunities.
- Performance-based bonus based on position.
Why this role
Real assets are among the largest asset classes in the world and among the least well served by software. Cherre already has the data layer that makes AI agents viable in this industry, which almost nobody else does. You would be among the first people turning that into something clients use every day, in a function you help define. Whether that means going deeper technically or eventually leading engagements is a choice you make later, not today.
What the work actually looks like
The future of real assets is agentic. Our clients feel this shift coming, but many struggle moving from pilot into production. That gap is the job:
A fund with 40 operating partners, each sending financials on a different chart of accounts. Agents build the mapping, maintain it as partners change their own books, and onboard the next partner as the business grows, without an analyst starting over every time.
An asset management team that answers the same portfolio questions every month by hand, out of four systems, into a deck.
An owner who wants to ask a plain-English question about their portfolio and get an answer that is correct, from an agent that knows when it does not know.
The interesting problems are rarely the model. They are entity resolution, messy source systems, workflows that exist only in someone's head, and the gap between an impressive demo and something a controller will sign off on.
You will be hands on. You will also be the person in the room when a client explains their use case for the first time, and the person who decides what gets built to meet their objectives. Done is an agent reliable enough for production, handed off to whoever will run it, while you move on to their next problem.
What you will do
Embed with client teams. Map their data, decompose their processes, and define and prioritize the use cases worth building, including the parts of the workflow nobody documents. Translate those priorities into agentic solutions that create value for the business.
Architect and build. Design the approach, then build it: agent workflows, tool and data integrations, evaluation harnesses, and the plumbing connecting it to Cherre's platform. Business process becomes orchestration logic: triggers, tools, guardrails, and human checkpoints.
Own delivery end to end. From scoping through production and handoff to the teams who support it. Ship early, put it in front of real users, find out where it is wrong, and fix it.
Instrument everything you ship. Build for auditability, version control, and cost predictability. These clients operate under real financial and regulatory scrutiny, and "the agent decided" is not an acceptable answer.
Build for the second deployment while delivering the first. Decide what is worth making reusable, build it so the next client gets there faster, and feed recurring patterns back to product and engineering as templates and accelerators.
Deliver what was agreed. New use cases surface constantly. The good ones are the next engagement, not this week's extra work.
Help build the machine. As one of the first FDEs here, you will document how you work and help turn it into a process other engineers can run. How you work becomes how the function works.
What you bring
We care more about what you have done than how long you have been doing it. The experience range above is a guide, not a filter.
A record of shipping production systems inside someone else's environment, under someone else's constraints. You can walk us through one that broke, how you found out, and what you changed.
Strong hands-on engineering, and you still want to write code. We are flexible on stack; Python, SQL, APIs, and comfort in messy data environments go a long way.
You have built with LLMs well beyond a prototype, and you have opinions about what is hard: evaluation, non-determinism, context, tool design, and knowing when an agent is the wrong answer.
Judgment about where automation belongs and where a human stays in the loop.
Comfort sitting with business operators and turning how they describe their work into system design. You can hold both conversations in the same meeting: the technical tradeoff with their engineer, and the business outcome with their executive.
Fluency in real assets or financial operations: fund reporting, asset management, valuations, deal pipelines, investor reporting. You can follow a client conversation without a translator.
You work well when requirements arrive as a conversation instead of a ticket, and you know how to turn the first into the second.
- 30% domestic travel
Bonus points
Prior forward-deployed, solutions architecture, or consulting-adjacent engineering experience.
Experience with agentic orchestration and development tooling such as Claude Code, n8n, LangGraph, or Temporal.
Background in enterprise SaaS or data infrastructure serving regulated industries.
Early-stage or 0 to 1 experience where you built the process as well as the product.
SALARY AND BENEFITS
- Health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Professional development opportunities.
- Performance-based bonus based on position.
See All 77 Entry Level Senior Forward Deployed Engineer Jobs
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Find JobsEntry Level Senior Forward Deployed Engineer Job Market
Who's Hiring
- Palantir Technologies14
- Deloitte7
- HappyRobot5
- Snorkel AI4
- Tiger Analytics4
Top Industries Hiring
- Technology & Software50
- Consulting & Professional Services17
- Artificial Intelligence9
- Investment & Asset Management8
- Accounting & Auditing7
Entry Level Senior Forward Deployed Engineer Jobs: Frequently Asked Questions
How do I get an entry level senior forward deployed engineer job?
Focus on building hands-on technical depth: personal projects, open-source contributions, or internship work that shows you can operate in a customer-facing engineering environment. Employers hiring at this level look for strong problem-solving fundamentals, comfort working directly with end users, and the ability to communicate technical concepts clearly. A bootcamp background or self-taught portfolio can be competitive if the work demonstrates real deployment experience.
Which companies hire entry level senior forward deployed engineers?
Companies hiring entry level senior forward deployed engineers right now include Palantir Technologies, Deloitte, and HappyRobot, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from fast-growing technology companies and enterprise software firms that need engineers who can work directly on-site with customers to implement and support their products.
Are there remote entry level senior forward deployed engineer jobs?
Yes, though most postings at this level lean on-site given the customer-facing nature of the role. About 23% of entry level senior forward deployed engineer openings are remote or hybrid as of November 2026, so candidates open to travel or relocation will find a wider pool of opportunities at this stage.
Are these new grad senior forward deployed engineer jobs?
Yes, many of the roles listed here are new grad and junior positions that welcome recent graduates with zero to two years of experience. A posting is typically new-grad friendly when it accepts internship work, academic projects, or a strong portfolio in place of full-time work history, so candidates finishing a degree or coding program can apply with confidence.
Which industries hire the most entry level senior forward deployed engineers?
Entry Level senior forward deployed engineer 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 entry level hiring because they deploy complex software products directly to enterprise customers and need engineers who can support implementation and troubleshoot in the field from day one.