Full-Time
Senior Infrastructure Engineer
Infrastructure
Bretton AI
51-200 employees
AI-driven SaaS for financial crime compliance
Compensation Overview
$168k - $213k/yr
San Francisco, CA, USA
In Person
 Software Engineering (1) |
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- 8+ years in infrastructure engineering or DevOps at high-growth or hyperscale companies.
- Experience with Docker and Kubernetes, including production cluster management, Helm, and service mesh technologies.
- A proven track record of architecting and operating AWS (preferred), GCP, or Azure at an enterprise scale.
- Experience with observability platforms, preferably Datadog (metrics, logs, APM, distributed tracing).
- A strong background in Infrastructure-as-Code (Terraform, Helm, Kustomize) and safe deployment practices (progressive delivery, canary deployments, GitOps, automated rollbacks).
- "Battle scars" from leading outages, capacity events, and large-scale incident reviews.
- Strong programming skills in Python.
- Own and evolve our Kubernetes infrastructure, including cluster management, service mesh configuration, and container security policies.
- Design and implement progressive delivery pipelines with canary deployments, automated rollbacks, and deployment health validation.
- Build and maintain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing.
- Drive incident response for high-severity outages and proactively model capacity needs for low-latency AI inference.
- Architect and automate secure infrastructure using Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments.
- Maintain and improve the infrastructure controls that support our SOC 2 compliance posture.
- Lead customer engagements for enterprise rollouts and mentor mid-level engineers on infrastructure best practices.
- Familiarity with TypeScript.
- Direct involvement in SOC 2 or other compliance audit preparation or remediation.
- Direct experience with private-cloud or on-premises deployments for regulated customers.
- Previous experience at startups scaling infrastructure from the early stages to the enterprise level.
- A background in fintech or building systems for highly regulated industries.
- Experience with AI/ML infrastructure and model deployment at scale.
Bretton AI provides an AI platform for financial crime operations used by regulated banks and global financial institutions. It uses AI agents to automate KYC/KYB, AML and sanctions investigations, and ongoing transaction monitoring, integrating with existing compliance systems and pulling data from 200+ sources to generate investigation outputs and audit-ready narratives. Its Trust Infrastructure governance system embeds regulatory guidance, model risk management, continuous AI evaluation, and quality assurance to ensure explainable, regulator-aligned operations. The company sells SaaS with tiered pricing to banks and large fintech platforms, differentiating itself through governance and auditability and aiming to define the standard for how AI is deployed in financial institutions and expand into more financial crime domains.
Company Size
51-200
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2023
Simplify's Take
What believers are saying
- $75M Series B in February 2026 fuels expansion into larger OCC-regulated banks.
- Agents completed 1.2M investigations, saving $10M and 195K hours for customers.
- Average contract value rose to $201K by 2026 from $25K at 2023 Seed.
What critics are saying
- NICE Actimize erodes market share in large banks within 12-18 months via core integration.
- New OCC rule in Q3 2026 triggers 20-30% churn demanding certified validation.
- Feedzai's 40% better false positive reduction causes switches in 6-12 months.
What makes Bretton AI unique
- Proprietary Trust Infrastructure ensures audit-ready, explainable AI agents from inception.
- Bretton AI Horizon automates L2 investigations with agentic workspace integrating LexisNexis and Equifax.
- AI agents leverage 200+ data sources for KYC, AML, and sanctions across L1 and L2 workflows.
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Your Connections
People at Bretton AI who can refer or advise you
Benefits
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Unlimited Paid Time Off
Flexible Leave Options
Sabbatical Leave
Paid Holidays
Remote Work Options
Hybrid Work Options
Flexible Work Hours
Commuter Benefits
Phone/Internet Stipend
Home Office Stipend
Wellness Program
Growth & Insights and Company News
6 month growth
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↑ 0%Introducing Bretton AI Horizon: the agentic workspace for complex investigations. February 25, 2026 Bretton AI agents complete alert reviews with rigor, speed, and deep auditability. But some investigations need an escalated review driven by humans. This is the reality of financial crime compliance. While AI workflows excel at automating high-volume, repetitive L1 alert reviews, the most complex and critical work - the Level 2 (L2) investigation - requires a different approach. These are the cases that don't fit a template, where an experienced investigator's judgment is the most valuable asset. Today, Bretton AI is proud to introduce Bretton AI Horizon, the first automation platform designed specifically for complex financial crime escalations. Horizon is an agentic workspace that gives your best investigators the AI tool they need to complete thorough reviews with rigor, speed and quality. The escalation challenge. L2 investigations are, by nature, unpredictable. They are often unstructured, requiring analysts to navigate a maze of internal systems and external data sources. The process is a frustrating "swivel chair" marathon of logging in, copying data, and manually piecing together a case file - all before the real analytical work can even begin. This friction doesn't just slow down investigations; it puts a ceiling on the capacity and effectiveness of a bank's most experienced compliance professionals. Horizon: an agentic workspace for L2 analysis. Horizon is designed to break through that ceiling. It is an interactive, agent-powered workspace that layers on top of your existing case management and screening systems, meaning you don't need a massive migration to get started. With Horizon, investigators can direct an AI agent to: * Retrieve records and data without "swiveling" between systems. This works for internal systems as well as external sources like LexisNexis, Thomson Reuters, and Equifax. * Create research plans in line with your internal best practices and execute these complex reviews with ease. * Draft narratives from your firm's narrative library after completing the analysis, ensuring consistency and adherence to your established templates. Horizon handles the laborious data gathering and documentation, freeing up your experts to focus on the critical thinking and nuanced analysis that only a human can provide. Built on a foundation of Trust. Bretton Horizon is built atop its proprietary Trust Infrastructure, ensuring deep auditability, model validation, and information security controls. This gives banks of all sizes the confidence to safely deploy agentic AI into their most sensitive workflows. Every action the agent takes is explainable, auditable, and governable, meeting the rigorous standards of financial regulators. With Bretton, you can now automate L1 reviews end-to-end and give your best analysts Horizon to handle complex escalations. It's a complete solution for the modern financial crime compliance team, enabling growth without compromise. Bretton AI: the platform for L1 and L2 compliance operations. Bretton AI is now the only platform that completes end-to-end L1 investigations and with the launch of Horizon, improves the efficacy of L2 operations. One workspace for all of your financial crime intelligence work.
Greenlite AI, which recently closed a $15 million Series A led by venture firm Greylock, is hiring aggressively in every department to support a waitlist of customers looking to automate and improve their financial compliance workflows.
Streamlining KYB: Greenlite AI partners with Middesk to accelerate due diligence.
This effort is part of the tech giant’s effort to foster trust among its cloud customers as it sells them AI products from companies like OpenAI and xAI, the Financial Times (FT) reported Sunday (June 8). Sarah Bird, Microsoft’s head of Responsible AI, told the FT the company would soon add a “safety” category to its “model leaderboard,” a feature it created recently for developers to rank iterations from providers including China’s DeepSeek and France’s Mistral. The leaderboard, which is accessible to clients using the Azure Foundry developer platform, is expected to influence which AI models and applications are purchased via Microsoft
“The last 20 years of compliance has been broadly building systems that help you identify risks,” Greenlite AI CEO Will Lawrence said during a conversation with PYMNTS CEO Karen Webster. “What happens when it goes wrong? That’s when a human gets involved. It’s a very labor-intensive and operationally intensive process.”. A study cited by Lawrence alleged that up to 85% of what compliance investigators do is non-analytical work, such as document processing, form-filling and internal follow-ups. “If you told me my sales team was only going to spend 15% of their time selling, I’d be very concerned,” he said. “But we’ve tolerated that in compliance.”