--- title: 'Forward Deployed Engineer – Applied AI Focus at Titan AI' canonical: 'https://feeny.ai/job/forward-deployed-engineer-applied-ai-focus-titan-ai-united-states-c4qbvw2dmdeb' type: 'job' last_seen: '2026-09-10' --- # Forward Deployed Engineer – Applied AI Focus at Titan AI - **Company:** Titan AI - **Location:** United States - **Compensation:** $140k–$200k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-05-27 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/titan-ai/9a2e4f06-a63f-4f31-b0b7-e8049bc070e9 ## Job description ## The role This is the FDE role with an applied AI spike You'll be the engineer on a client engagement, working on the Titan platform and toolkit to deliver agentic systems that solve real banking workflows. You won't be alone — you'll be supported by senior FDEs and the platform team — but you'll own the build. You'll spend most of your time inside Titan Foundry, our Banking-Reasoning Models, and our Banking Agents framework, configuring and extending to fit each client's specific problem. The growth path is into the senior FDE archetype: more off-platform building, deeper partnership with client engineering teams, broader architectural ownership. ## What you'll do - Build and ship agentic workflows on the Titan platform to solve specific banking use cases (lending, credit, compliance, ops) - Configure agents, write integrations, design evals, and wire up the observability that proves things work in production - Partner directly with clients — operators, analysts, sometimes their engineers — to gather requirements, demo progress, and absorb feedback - Iterate fast: hypothesis, prototype, feedback, refine, ship - Capture patterns back into the platform so your next build (and everyone else's) starts ahead - Learn the banking domain rapidly through immersion — risk, controls, lending lifecycle, regulatory context ## Who you are - A builder. Demonstrably. We'd rather see a GitHub full of unfinished experiments than a resume full of polished titles. - Unconventional paths welcome — and frankly preferred. If you taught yourself to code while working in a different industry because you couldn't stop thinking about the opportunity, we want to talk. - Comfortable being client-facing or excited to become so. You don't need years of consulting; you do need to want to be in the room. - Hungry to learn banking. You don't need to walk in fluent — you need to walk in curious. - Capable of running a small project end-to-end without dropping balls. Technical foundation - Prompt and context engineering experience (e.g., understand the nature of language model responses, able to return equal results out of smaller models with better prompts and context) - Full-stack development with a stronger spike in backend (Python is core; TypeScript helpful) - Experience building agents with LangChain, LangGraph, DeepAgents, and model-provider SDKs (Claude SDK, OpenAI Agents SDK) — strong side-project experience is fine - Familiarity with agent search patterns: agent file search, vector RAG, vectorless RAG - Some exposure to AI evals, observability, or training loops — you've at least played with the tooling - Awareness of AI security concerns (data controls, gateways, observability) and willingness to learn the rest - Process orchestration and workflow automation experience We don't expect a perfect match on every line. We expect that what you don't yet know, you can pick up in weeks, not quarters. ## Why Titan We're building the AI platform for banking because most of the two million people employed by 4,000+ U.S. banks cannot safely and securely use modern AI tools at work — and none of them are using AI purpose-built for their domain. We're changing that. Our platform includes: - Titan Foundry — secure gateway to top AI models for bank employees - Banking-Reasoning Models — our flagship small language models for financial services, trained by ex-regulators and banking leaders - Banking Agents — a configurable AI application layer with expertise in lending, compliance, underwriting, and operations Our team comes from Goldman Sachs, KeyBank, and the Office of the Comptroller of the Currency. We've built and sold companies into the top 25 U.S. banks. We're pre-Series A, small, and shipping. The path here is: ship on the platform → master the toolkit → grow into off-platform builds and senior architectural ownership. We're not hiring you to stay where you start. ## What we offer - Competitive base salary plus meaningful pre-Series A equity - Remote-first with regular client travel (~25–40%, depending on engagement) - Unlimited PTO - 100% of employee medical, dental, and vision premiums covered by Titan ## About Titan AI ## Company Overview - **One-liner**: Titan builds a secured, auditable AI platform with proprietary banking-native models and agents purpose-built for financial services. - **Entity Type**: Private (early-stage startup, no disclosed funding round) - **Headquarters**: New York, NY, United States (with additional office in Greenwich, CT) - **Founded**: 2025 - **Founders**: Arjun Sirrah (Founder & CEO) ## Core Business - Primary industry: AI platform for banking / Financial Technology (FinTech) - Target customers: Banks and financial institutions (B2B, Enterprise, highly regulated) - Mission statement: Build AI that thinks like a bank – delivering explainable, auditable, and secure AI for banking operations, compliance, and credit. ## Products & Services - **Titan Banking Platform**: A unified interface providing access to proprietary banking-small language models (SLMs), general-purpose LLMs, and built-in Banking Agents. Handles tasks like consumer credit processing, regulatory compliance, bank operations, and product inquiries. Key features include auditable chain-of-thought, human-in-the-loop workflows, role-based access control, and SOC 2 compliance. (Type: SaaS / AI Platform) - **Titan Banking Agents**: Agentic workflows that leverage Titan’s banking models to automate reviews, exception processing, and deep research – designed to mirror how top-performing bankers reason. (Type: AI Agent / Workflow Automation) ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Headcount of 14 employees (as of mid-2026) with 23.8% monthly growth; 12 active job openings. - **Notable Investors/Partners**: Board includes **Blake Paulson** (former Acting Comptroller of the Currency). The company’s team includes former senior bank operators, OCC regulators, and AI engineers from KeyBank, Laurel Road, and other fintechs. - **Growth Signals**: Rapid hiring (+71.4% job postings quarterly), early preference results showing 80% banking task preference over ChatGPT and 97% over Gemini 2.5 Pro, and strong domain credibility with a founding team that scaled Laurel Road to $1B+ annual originations. ## Competitive Advantages - **Banking-native ontology**: Models are not fine-tuned general LLMs – they embed proprietary banking logic, regulatory knowledge, and credit risk reasoning from the ground up. - **Auditability & explainability**: Full logging of prompts, chain-of-thought, and decisions – designed for examiner review and regulatory defense. - **Security & compliance**: SOC 2 compliant, AES-256 encryption, RBAC, MFA, and a dedicated data protection layer that never uses customer data to train public models. - **Human-in-the-loop**: AI recommends, bankers approve – preserving domain expertise and accountability. ## Strategic Focus - Scaling enterprise sales to mid-size and large banks (evidenced by hiring Account Executives and Client Partners). - Expanding the proprietary model’s performance lead through continuous training on banking-specific data and the Banker Trust Index evaluation. - Growing the team across engineering (Forward Deployed, AI, QA) and go-to-market roles. ## Why Work Here - **Culture**: Small, fast-moving startup (14 people) with deep banking expertise – you’ll work directly with former regulators, bank CTOs, and fintech veterans. - **Engineering culture**: Emphasis on applied AI, full-stack development, and forward deployment inside customer environments. High ownership and impact – engineers build features that directly affect how banks operate. - **Remote/Hybrid**: Not explicitly stated; HQ in New York with a Greenwich, CT office – likely in-office or hybrid for many roles. - **Notable perks**: Opportunity to shape AI for a heavily regulated industry, work on explainable/auditable models, and learn from a team that includes a former Acting Comptroller of the Currency. ## Sources 1. [titanbanking.ai](https://www.titanbanking.ai/) 2. [titanbanking.ai/about-company](https://www.titanbanking.ai/about-company) 3. [linkedin.com/company/titan-os](https://www.linkedin.com/company/titan-os) 4. [jobs.ashbyhq.com/titan-ai](https://jobs.ashbyhq.com/titan-ai) 5. [titanbanking.ai/why-titan](https://www.titanbanking.ai/why-titan) ## Other roles at Titan AI - [Applied AI Engineer](https://feeny.ai/job/applied-ai-engineer-titan-ai-united-states-p8324tr5drnp) — United States - [Principal Forward Deployed Engineer – Applied AI Focus](https://feeny.ai/job/principal-forward-deployed-engineer-applied-ai-focus-titan-ai-united-states-nsjm6vhbvz5x) — United States - [Forward Deployed Engineer – Product Focus](https://feeny.ai/job/forward-deployed-engineer-product-focus-titan-ai-united-states-332mrmvkk44g) — United States - [VP of Site Reliability](https://feeny.ai/job/vp-of-site-reliability-titan-ai-united-states-tahcxfbwz56m) — United States - [QA Engineer](https://feeny.ai/job/qa-engineer-titan-ai-united-states-zqxcc90qxaa4) — United States - [Lead QA Engineer](https://feeny.ai/job/lead-qa-engineer-titan-ai-united-states-wvejvm0gv5z3) — United States - [AI Platform Analyst](https://feeny.ai/job/ai-platform-analyst-titan-ai-united-states-jt9kxwf85kd7) — United States - [Client Partner](https://feeny.ai/job/client-partner-titan-ai-united-states-mvzhhbxcvtw5) — United States - [Senior Solutions Engineer](https://feeny.ai/job/senior-solutions-engineer-titan-ai-united-states-jkykfr5vzagq) — United States - [Account Executive, Enterprise](https://feeny.ai/job/account-executive-enterprise-titan-ai-united-states-axx9hcac2tdh) — United States