Lead AI Software Engineer
Tricentis · Austin, United States
About The Role
Join our team as a Lead AI Software Engineer, where you will provide technical leadership and team enablement. You will act as the technical lead for one or more teams, setting engineering direction and ensuring high technical standards. You will also mentor senior and mid-level engineers, drive technical decision-making, and partner with engineering managers and product leaders to translate business goals into executable technical strategies. Additionally, you will lead rapid experimentation initiatives, define and standardize testing strategies for AI systems, and champion continuous improvement in engineering practices, tooling, and workflows.
- Act as the technical lead for one or more teams, setting engineering direction and ensuring high technical standards.
- Provide hands-on architectural guidance, unblocking complex technical challenges, and reviewing critical designs.
- Mentor Senior and Mid-level Engineers through structured coaching, design reviews, and ongoing technical feedback.
- Strong understanding of security, privacy, and compliance considerations in AI-enabled systems
- Comfortable collaborating across teams to enable your teams’ delivery
- Production & Platform Experience
- Ability to diagnose and resolve complex production issues involving AI systems
- 3+ years of experience designing, deploying, and operating language model–based solutions in production
- Expert-level understanding of software engineering best practices, including architecture patterns, CI/CD, testing, and code quality
- Strong experience utilizing AI coding Assistants (Github Copilot, Cursor, Claude Code) in daily workflow
- Extensive experience with containers and orchestration in production environments
- Ability to influence without authority and align the team around a shared technical vision
- Comfortable acting as the technical voice of the team in cross-functional discussions
- Communication & Influence
- Technical Expertise
- Experience designing and operating data pipelines and data management systems at scale
- Working knowledge of emerging AI technologies like MCP, A2A, and GenAI LLM’s
- 6+ years of experience with Python in production environments
- Exceptional ability to communicate complex technical concepts clearly to engineers, product leaders, and non-technical stakeholders
- Proven ability to develop systems that balance innovation with reliability and maintainability
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