Lead AI Software Engineer

Overview
We are seeking a Lead Engineer to join our fast-growing engineering team.

You will be working on our AI Workflow services, linking AI capabilities with user specific workflows that deliver.

These capabilities will enable our customers to bridge their data, Tricentis’s capabilities, to solve use cases that cannot be solved by traditional proscriptive functionality.

 You will be working at a rapid pace with a talented team to deliver new segment defining capabilities.

Key Responsibilities

Technical Leadership & Team Enablement


*  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.


*  Drive and facilitate technical decision-making, including trade-offs between scalability, reliability, cost, and time-to-market.


*  Lead and contribute to lunch & learns, technical deep dives, and internal knowledge-sharing initiatives.


*  Partner with Engineering Managers and Product Leaders to translate business goals into executable technical strategies.


*  Proactively identify gaps in team capability and influence hiring, onboarding, and skill development strategies.

Architecture, Implementation & Quality


* Lead rapid experimentation initiatives, ensuring learnings are clearly documented and communicated to stakeholders.


* Define and standardize testing strategies for AI systems, including unit, integration, regression, and evaluation-based testing.


* Ensure consistency and quality across implementations through code reviews, architectural reviews, and reference implementations.


* Embed deeply in business domains, proactively shaping product direction through technical insight.


* Identify systemic technical issues and drive long-term, sustainable solutions rather than short-term fixes.


* Champion continuous improvement in engineering practices, tooling, and workflows.

Required Skills & Qualifications

Technical Expertise


* 6+ years of experience with Python in production environments.


* 3+ years of experience designing, deploying, and operating language model–based solutions in production.


* Strong experience utilizing AI coding Assistants (Github Copilot, Cursor, Claude Code) in daily workflow.


* Working knowledge of emerging AI technologies like MCP, A2A, and GenAI LLM’s.


* Proven ability to develop systems that balance innovation with reliability and maintainability.

 Production & Platform Experience


* Expert-level understanding of software engineering best practices, including architecture patterns, CI/CD, testing, and code quality.


*  Experience designing and operating data pipelines and data management systems at scale.


*  Stro...