Senior Forward Deployed Engineer
Required skills
- Forward Deployed Engineer
- Agentic AI
- LLM
- RAG
- Agent Frameworks
- Vector Stores
- Evaluation
- Monitoring
- Python
- Cloud
Nice to have
- NET
- Node.js
- React
- Next.js
- Banking
- Lending
Role summary
Praxent, an Anthropic partner, seeks a Senior Forward Deployed Engineer to lead technical engagements within financial institutions. This role involves end-to-end ownership of software development, from discovery and architecture to implementation and production deployment, focusing on integrating agentic AI within strict regulatory environments. The ideal candidate will have 6+ years of experience shipping production software, including LLM and agentic systems, with hands-on full-stack capabilities primarily in Python, and experience with major cloud platforms. This position requires strong client leadership, system architecture judgment, and the ability to guide a small engineering team while communicating effectively with both technical and business stakeholders. Experience in financial services, particularly with risk and compliance, is strongly preferred.
About Praxent
Praxent is an Anthropic partner, and the opportunity in front of us is unlike anything before. Every financial institution is asking the same question at once: how do we put agentic AI to work inside walls this critical? Very few teams have both the frontier-model access to build the answer and the regulatory depth to get it approved. We have both.
That depth is 26 years in the making. Praxent builds the software that banks, credit unions, lenders, insurers, and wealth platforms actually run, inside the hardest environments in enterprise software. Most firms treat those constraints as obstacles. We've built our craft around them.
These roles have been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in the following locations: Texas, Colorado, Florida, Georgia, Massachusetts, Maryland, Minnesota, Nebraska, New York, New Jersey, North Carolina, Oregon, Pennsylvania, Tennessee, South Carolina, Washington.
Applicants for this position must be currently and legally authorized to work in the United States without the need for current or future sponsorship (e.g., H-1B, J-1, F-1, CPT, OPT, etc.). Praxent will not offer immigration sponsorship or assume sponsorship of an employment visa for this position. International relocation or remote work arrangements outside of the U.S. will not be considered.
The mission
As a Senior Forward Deployed Engineer, you are the technical owner of a Praxent engagement. You lead discovery conversations, decide what should be built, and then build it… inside a client's environment, from end to end. You set the standard for how the rest of the engineering team builds. You are deep in the code, and you are the person the client and the team look to when the hardest calls have to be made.
What you will own
How we work
Praxent runs on a spirit of service that our clients feel from the first week. We lead with 'yes, and': we start from the client's goals and shape ourselves around how they actually work, instead of arriving with a fixed playbook.
In financial services, that means treating constraints like compliance, risk reviews, legacy systems, and audit and explainability requirements not as obstacles to route around, but as the design opportunity itself. The strongest forward-deployed work embraces those constraints and is better for them.
You will not do this alone. You will be embedded with our clients, working shoulder to shoulder with Praxent Architects and Product Managers and the client's sharpest engineers and decision-makers
What you bring
How you work: our CAN/DO values in practice
What you’ll love about us
The US base salary for this full-time position is targeted to be $194,000-$224,000 + benefits. Our ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
#LI-Remote
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