Principal Software Engineer (AI)

Job summary

Tau***'s Commitment: DIVERSITY, EQUITY, AND INCLUSION It is our duty to create and advance a diverse and inclusive company where all Tau***ns feel they are celebrated. All individuals are welcomed, free to express themselves and rewarded for showing up as authentically every day.

Benefits

Qualifications

• In this role, you are the technical execution leader for the team, owning the technical direction for the team’s scope and ensuring the delivery of maintainable, high-quality AI solutions.
• Autonomy: You report to an Engineering Manager (EM) but operate with a high degree of technical autonomy.
• You are expected to proactively identify and resolve architectural gaps and engineering friction while consulting on team-based and cross-cutting initiatives.
• and geographic location.
• AI STATEMENT
• At Tau***, we are embracing Artificial Intelligence to revolutionize our industry and empower our team.
• We believe AI is a fundamental tool for innovation, efficiency, and creative problem-solving.
• We are looking for forward-thinking individuals who share our excitement for the future and are eager to learn, experiment, and grow with us in an AI-driven landscape.
• If you have a curious, adaptive, and collaborative mindset, you will thrive here.

Responsibilities

• You will work closely with the architecture team, contributing to the design of our AI ecosystem.
• As a master practitioner, you will balance the "How" of sophisticated GenAI—including agentic workflows and RAG architecture—with the operational rigor required for safe and efficient delivery.
• You will lead by example, breaking down the most complex technical hurdles in the AI stack and raising the technical bar for the entire team.
• While you do not manage people, you are the authority responsible for the team’s technical integrity and execution strategy.
• Code Stewardship: You are responsible for how the work is built across the team’s domain, ensuring they move fast without sacrificing system health or safety.
• Technical Direction & Design: Collaborate closely with the architecture team, contributing to and maintaining the technical direction for the team’s AI scope.
• Drive designs for AI services that balance time-to-value with reliability, security, and maintainability, ensuring alignment with architectural guardrails and platform constraints.
• Technical Execution & Delivery Enablement: Act as the primary driver of execution on the team.
• Break down complex AI technical work into executable increments and identify technical risks early.
• Actively remove engineering blockers such as build/deploy friction, unclear interfaces, and excessive coupling.
• Agent Architect: Collaborate with the architecture team to design and build the AI agents and autonomous frameworks that scale the team’s intent.
• You are responsible for the logic that allows AI to perform complex, multi-step tasks reliably while ensuring these systems are built for long-term maintainability.

Skills

Degrees

Industry

Company size