Forward Deployed Engineer
Join Bretton AI as a Forward Deployed Engineer to integrate AI solutions in financial institutions while collaborating with enterprise customers.
Posted by employer 7 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 4 hours ago
Skills & Technologies
AI in the day-to-day
Actively building with LLMs and modern AI systems is a must.
Requirements
- Experience
- 2+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Forward Deployed Engineer at Bretton AI, the individual will engage directly with clients to implement and integrate the company's AI platform within complex financial environments. Key skills include backend development, proficiency in Python, and experience with APIs and cloud infrastructure, alongside a strong customer-facing background. This position is ideal for someone with a technical foundation and a knack for problem-solving, particularly in regulated sectors. Bretton AI's team, composed of talent from leading tech firms, emphasizes collaboration across engineering and product teams to enhance customer success.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Bretton AI's careers page October 27, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
- Starts above 40% of 115 comparable mid ai/ml roles in United States that list Python we track (median $150,000 across 49 companies). See Python salary trends
- Python appears in 47.7% of 482 comparable mid ai/ml roles in United States; cloud infrastructure appears in 0.8% of 482 comparable mid ai/ml roles in United States.
Quick facts
- Is the Forward Deployed Engineer role remote?
- No — this is an on-site role in San Francisco, CA.
- What's the salary range?
- Bretton AI lists $150,000–$200,000 for this role.
- How much experience is required?
- At least 2 years of relevant experience for this Forward Deployed Engineer role.
- Where is the role based?
- Bretton AI is hiring for this position in San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: APIs, Data Pipelines, Python, cloud infrastructure.
- What seniority level is this role?
- Bretton AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Forward Deployed Engineer role at Bretton AI.
From the original posting
The Role
We are looking for a Forward Deployed Engineer (FDE) to work directly with customers to deploy and integrate Bretton’s platform in real-world environments. This role sits at the intersection of engineering, customer deployments, and product discovery, helping customers implement Bretton’s technology in complex enterprise environments while uncovering insights that improve and scale the product.
What You'll Do
Deploy Bretton's AI agents at banks, fintechs, and payments companies, navigating the security and compliance requirements that come with regulated environments.
Travel onsite to work through last-mile connectivity challenges, from wiring up core banking integrations to resolving edge cases that only surface in live production.
Partner with BSA officers, AML analysts, and risk teams to translate their workflows and regulatory requirements into agent behavior that reflects how their business actually works.
Build the connectors, configuration tools, and internal frameworks that turn one-off customer solutions into repeatable platform capabilities.
Guide customers from demo through go-live as a trusted technical advisor, helping them resolve issues quickly and expand the value they get from Bretton.
Work cross-functionally with engineering, product, and GTM to remove blockers and do whatever it takes to make customers successful.
Diagnose and resolve issues in real deployments by reproducing problems and collaborating with the engineering team to fix them.
Translate customer usage into product insights by sharing customer needs with engineering and product teams and identifying opportunities to turn recurring solutions into product features.
Technical Qualifications
2+ years of experience as a software engineer or similar
Strong backend or data engineering background
Experience with Python, APIs, data pipelines, and cloud infrastructure
Previous experience in a customer-facing technical role (e.g., solutions engineer, forward deployed engineer, or technical implementation role) is a plus.
Actively building with LLMs and modern AI systems is a must
Soft Skills
Excellent communication skills
Ability to explain AI systems to non-technical stakeholders
Strong debugging and problem-solving mindset
Comfort working with enterprise customers
Compensation & Benefits
$150k - $200k base salary + meaningful equity
Comprehensive healthcare, 401k matching, commuter benefits
Flexible time off, unlimited sick days, and paid holidays
Flexible leave options
Working late? We cover DoorDash and Uber home
Standard company text repeated across Bretton AI's postings is omitted here.