Director, AI Engineering

Tricentis•Austin, TX

About The Position

AI/ML Engineering Leadership Lead, mentor, and grow a high-performing team of AI/ML engineers and data scientists. Shape the AI engineering roadmap through alignment with business goals and product strategy to deliver the right solutions in the needed timelines Oversee the design, development, and deployment of scalable AI/ML solutions for Tricentis’ product portfolio. Foster a culture of innovation, technical excellence, and continuous improvement within the engineering team. Spearhead MVP development and productization by rapidly prototyping and validating promising AI solutions through collaboration with AI product management and AI Research teams. Technical Strategy & Architecture Lead the technical roadmap and architectural direction for AI/ML systems, through partnership with the Architecture teams. Supervise the evaluation and technology selection process for AI and AI supporting technologies, including budgeting and Engineering leadership alignment, that meet current and future needs. Oversee the development and deployment of domain specific machine learning models. Ensure robust, scalable, and optimized AI features for real-world application including effective evaluations of Agents. Collaborate in guiding technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development and deployment . Collaboration & Strategy Collaborate with product management, UX, and other engineering teams to define requirements and deliver AI driven features. Partner with stakeholders to prioritize initiatives, allocate resources, and ensure timely delivery of projects. Work closely with DevOps to streamline the deployment of AI models into production environments. Establish and enforce ethical AI frameworks to promote fairness, mitigate bias, and maintain transparency in AI systems. Leadership Supervise, mentor, and grow members of the AI/ML engineering team. Drive all aspects of recruiting, including attracting, building, and retaining a highly skilled team. Build and maintain a culture of accountability, accomplishment, continuous improvement, and teamwork. Communication Communicate technical concepts, project status, and strategic vision to both technical and non-technical stakeholders. Represent the AI/ML engineering team in executive meetings, customer engagements, and industry events. Build strong partnerships across functional areas to enable and support product growth 1

Requirements

10+ years of experience in software engineering, with at least 5 years in AI/ML engineering leadership roles.
Proven track record of building and leading high-performing engineering teams.
Deep expertise in machine learning, deep learning, NLP, generative AI, and large language models.
Strong programming skills in Python and other relevant languages (e.g., Java, SQL).
Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
Experience deploying AI models at scale in enterprise settings.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Excellent communication, organizational, and stakeholder management skills.

Nice To Haves

Experience designing, developing, and shipping commercial software products.
Familiarity with modern ML stack components, including GenAI, Agents, Semantic Search, and cost/performance optimization.
Solid understanding of the customer journey from problem identification to solution implementation.
Experience partnering with legal, engineering and product leadership to ensure high value AI inventions are systematically captured and protected.
Demonstrated creativity, problem solving, and innovative thinking.
Experience working in agile, globally distributed, cross-functional teams.
Willingness to travel domestically and internationally on occasion.

Responsibilities

Lead, mentor, and grow a high-performing team of AI/ML engineers and data scientists.
Shape the AI engineering roadmap through alignment with business goals and product strategy
Oversee the design, development, and deployment of scalable AI/ML solutions for Tricentis’ product portfolio.
Foster a culture of innovation, technical excellence, and continuous improvement within the engineering team.
Spearhead MVP development and productization by rapidly prototyping and validating promising AI solutions through collaboration with AI product management and AI Research teams.
Lead the technical roadmap and architectural direction for AI/ML systems, through partnership with the Architecture teams.
Supervise the evaluation and technology selection process for AI and AI supporting technologies, including budgeting and Engineering leadership alignment, that meet current and future needs.
Oversee the development and deployment of domain specific machine learning models.
Ensure robust, scalable, and optimized AI features for real-world application including effective evaluations of Agents.
Collaborate in guiding technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development and deployment
Collaborate with product management, UX, and other engineering teams to define requirements and deliver AI driven features.
Partner with stakeholders to prioritize initiatives, allocate resources, and ensure timely delivery of projects.
Work closely with DevOps to streamline the deployment of AI models into production environments.
Establish and enforce ethical AI frameworks to promote fairness, mitigate bias, and maintain transparency in AI systems.
Supervise, mentor, and grow members of the AI/ML engineering team.
Drive all aspects of recruiting, including attracting, building, and retaining a highly skilled team.
Build and maintain a culture of accountability, accomplishment, continuous improvement, and teamwork.
Communicate technical concepts, project status, and strategic vision to both technical and non-technical stakeholders.
Represent the AI/ML engineering team in executive meetings, customer engagements, and industry events.
Build strong partnerships across functional areas to enable and support product growth