Tricentis · 5 days ago
Director, AI Engineering
Austin, Texas
Full-time
Onsite
Director/Executive
10+ years expTricentis is a leading provider of software testing solutions, and they are seeking a Director of AI Engineering to lead and grow a high-performing team of AI/ML engineers and data scientists. The role involves shaping the AI engineering roadmap, overseeing the development of scalable AI/ML solutions, and fostering a culture of innovation within the team.
Artificial Intelligence (AI)Business Process Automation (BPA)DevOpsEnterprise SoftwareInformation TechnologySoftware
No H1B
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 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
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
Qualification
Required
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
Preferred
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
Company
Tricentis
Tricentis is an automated software testing and quality engineering that accelerates software delivery and digital transformation.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$1.5BKey Investors
GTCRInsight PartnersViewPoint Capital Partners
2024-11-26Private Equity· $1.33B
2017-01-23Series B· $165M
2014-12-31Debt Financing
Leadership Team
Damien Johnson
Field CTO
Dave Hafner
Chief Financial Officer
Recent News
Business Wire
2025-12-16
2025-12-11
Company data provided by crunchbase