About the role:
We are looking for a hands-on Technical Lead who writes production code every day while guiding a squad of high-performing engineers. You will build modern, cloud-native digital products in financial services, including AI-powered features such as conversational (voice and chat) experiences, working in fast, agile delivery teams alongside product, design and consulting partners.
Key Responsibilities:
• Code: lead by example on complex frontend, backend and AI-integration work.
• Design: own technical design for features within a domain-driven architecture, including API and event-driven integrations.
• Conversational AI: lead the build of AI features using Claude, AWS Bedrock and LangGraph, including orchestration, guardrails and evaluation.
• Design handoff: work directly from Figma with designers to deliver pixel-accurate, accessible UIs.
• Standards: set engineering standards for code review, testing and AI-assisted development across the team.
• Delivery pipeline: drive CI/CD with GitHub Actions and infrastructure as code with AWS CDK, supported by automated testing.
• Team: mentor engineers, unblock delivery and uphold quality in fast agile sprints.
• Stakeholders: work closely with delivery leads, architects and product owners on technical decisions, risks and trade-offs.
Must-have skills:
• Frontend: expert in React, Next.js and TypeScript; strong Figma-to-code workflow.
• Backend: TypeScript on AWS serverless (Lambda, API Gateway, EventBridge, Step Functions, DynamoDB); API design and event-driven integration.
• AI engineering: production experience with LLM applications, ideally Claude via AWS Bedrock, and agent orchestration with LangGraph, including RAG, tool use, prompt design, guardrails and evaluation.
• DevOps: GitHub Actions and AWS CDK; automated testing (unit, integration and end-to-end).
• AI-assisted coding: daily, fluent use of tools such as Claude Code, Copilot or Cursor, used safely and productively in a team.
• Agile: real, hands-on agile delivery experience.
• Leadership: has led squads of 8–20 engineers while staying hands-on.
Strongly preferred:
Domain: financial services, ideally wealth management, retirement (IRA/401(k)), brokerage or digital banking.
Regulation: familiarity with KYC/CIP, money movement and payments, and compliance requirements (FINRA/SEC context).
Voice AI: experience with voice interfaces, such as Amazon Connect, Lex or speech-to-text services.
Architecture: experience working within domain-driven design.
Consulting: experience in consulting-led or multi-vendor delivery teams.
Education:
Bachelor's or Master's degree in Computer Science, Engineering or a related field, or equivalent practical experience.
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