Sr Artificial Intelligence Technical Lead

Sr AI Tech Lead

Position Summary:

Our partner is a growing SaaS technology company serving legal and accounting professionals through secure, customer-facing software and a live AI platform. The next challenge is scaling that foundation to support multiple AI products and increasingly complex customer needs.

This is an opportunity for a Senior AI Tech Lead who wants meaningful ownership while remaining hands-on. You’ll shape the architecture, write production software, guide engineers, and establish standards across AI agents, retrieval pipelines, data integrations, distributed services, and AWS infrastructure. Success requires thinking beyond individual AI features and understanding how to build a secure, reliable, and maintainable enterprise AI platform.

Experience and Education:

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience.
• 10+ years of hands-on software engineering experience writing and reviewing production code while architecting complex systems and leading technical decisions.
• Proven background taking an existing AI platform from MVP or early production into a scalable, secure, and reliable customer-facing environment.
• Deep hands-on experience designing production AI solutions within AWS, including Amazon Bedrock and the broader AWS AI ecosystem.
• Advanced Python experience building, testing, deploying, and supporting production applications.
• Experience designing distributed SaaS platforms, enterprise integrations, data-access patterns, and systems involving sensitive customer information.
• Demonstrated experience using AI-assisted development to improve engineering productivity while maintaining rigorous software engineering standards.

Skills and Strengths:

• AI Platform Architecture
• Production AI Engineering
• AWS Architecture
• AWS AI Ecosystem
• Amazon Bedrock
• Python
• Agentic AI Systems
• Distributed Systems
• LLMOps
• AI Evaluation
• AI Observability
• AI Guardrails
• AI Regression Testing
• Retrieval-Augmented Generation
• Vector Databases
• Knowledge Graphs
• API Architecture
• Data Security
• System Reliability
• Technical Leadership

Primary Job Responsibilities:

• Learn the existing AI platform from the AWS consulting team and progressively assume long-term technical ownership.
• Evolve the current platform into a scalable, secure, reliable, and production-ready foundation for customer-facing AI products.
• Write production Python code and remain actively involved in development, testing, deployment, and troubleshooting.
• Lead platform-level architecture decisions and clearly communicate the tradeoffs behind them.
• Design agentic systems, including agent orchestration, tool interaction, model routing, and communication between specialized agents.
• Build retrieval and data-access patterns connecting AI capabilities with SaaS applications, enterprise services, and customer information.
• Establish AI evaluation, regression-testing, guardrail, observability, and monitoring practices.
• Improve platform performance, reliability, scalability, latency, and operating cost as customer adoption grows.
• Design security, access-control, governance, and data-protection capabilities for sensitive legal and customer information.
• Strengthen citation and source-attribution capabilities for AI-generated responses.
• Review architecture and production code for quality, security, maintainability, and operational risk.
• Establish practical engineering standards for deploying and operating production AI systems.
• Mentor senior engineers and influence technical direction without relying on formal management authority.