• Product development • Prototype new modeling methodologies for incorporation into our global suite • Work directly with our ML engineering team to identify issues and guide them on requirements • Write data pipelines and ETL for non‑standard or new modeling use cases • Build new dashboards and reports to provide insights to clients on model performance and impact, leveraging our proprietary BI toolkit • Help document methodologies, tool usage, and business logic • Support client implementation teams executing complex modeling tasks on our enterprise ML ops platform • Perform complex or custom data engineering where needed to support strategic clients • Train ML models for underwriting, targeting, and other applications where needed • Test new product features and algorithms, and verify accurate implementation ahead of live release to our global client base • Implement bug fixes and upgrades to Experian methodologies in credit‑related business logic, including Bureau Inferencing modifications

• Design/implement a system orchestrating machine learning workflows • Build SDKs to enable engineers using our platform easily • Build tools to enable our AI engineers to be efficient in developing new AI solutions • Explore ideas for practical and reliable models for data label quality and various label supervision sources.

• Design, build, and maintain high-throughput ETL/ELT pipelines handling large volumes of real-time and batch telematics data • Architect and evolve our data lake and warehouse infrastructure for reliability, scalability, and cost efficiency • Build and maintain stream processing systems for low-latency data ingestion and transformation • Collaborate with data scientists to operationalise ML models and integrate outputs into data products • Own data quality, observability, and governance across the platform

Overview MicroTech is seeking a Director of Artificial Intelligence and Machine Learning to lead and grow our AI capability across the business and for our customers. This is not a maintenance role, and it is not simply a senior engineering role. This is a leadership position for someone who understands both the business and technical sides of AI/ML and can turn emerging technologies into practical, scalable, and marketable solutions. The right candidate will assess what we have today, strengthen and lead the current team, define a clear roadmap, and build solutions that improve internal efficiency while helping customers solve real operational and mission challenges. This person must understand how to evaluate and leverage commercial off-the-shelf AI/ML tools, determine when custom development adds value, and guide the company in building solutions that make those tools easier to use, more functional, and more relevant to customer needs. Responsibilities - Lead AI Strategy and Execution: Define and drive MicroTech's AI/ML roadmap across internal operations, customer offerings, and long-term growth initiatives - Build Business-Focused AI Solutions: Develop practical AI capabilities that improve efficiency, support decision-making, and create value for both MicroTech and our customers - Evaluate and Leverage COTS Tools: Assess commercial AI/ML products and platforms, determine best fit, and identify opportunities to enhance them through MicroTech-led development and integration - Guide Product and Solution Development: Turn AI concepts into repeatable offerings, reference architectures, and managed solutions that can be deployed internally and for commercial and Federal customers - Lead and Strengthen the Team: Provide leadership, direction, and accountability for the existing AI/ML staff while helping build a stronger, more disciplined capability over time - Support Customer Growth: Work with leadership, business development, and technical teams to help position AI/ML solutions in the market, support demos and proposals, and show customers how AI can solve business and mission problems - Drive Secure AI Adoption: Help shape secure on-prem and private cloud AI solutions, including environments where customers want to use AI against proprietary or sensitive data without relying on third-party public cloud services - Create Repeatable Delivery Models: Develop approaches for implementation, support, monitoring, optimization, and managed services so AI solutions can be delivered consistently and profitably Qualifications - Bachelor's degree in computer science, engineering, data science, information systems, business, or a related field; advanced degree preferred - 10+ years of progressive experience in technology, software, data, AI/ML, automation, or digital transformation roles - 5+ years of leadership experience with responsibility for strategy, execution, and team development - Strong understanding of AI/ML technologies, including large language models, machine learning, NLP, retrieval/search, intelligent automation, and model deployment - Experience evaluating, implementing, and integrating commercial AI/ML platforms and tools - Demonstrated ability to translate technical capabilities into business solutions, products, or customer offerings - Experience leading cross-functional teams and working effectively with executives, engineers, operations personnel, and business stakeholders - Strong communication skills and the ability to explain AI/ML concepts in practical business terms - Experience in a small business or growth-oriented environment where speed, flexibility, and practical execution matter Nice to Have - Experience supporting Federal, Defense, or other regulated-industry customers - Familiarity with secure on-prem, hybrid cloud, or private cloud AI environments - Experience with knowledge management, document intelligence, enterprise search, or workflow automation solutions - Background in productization, managed services, or recurring service delivery models - Experience developing AI solutions that move beyond prototypes into real operational use Why This Role Matters: - This role will help define how MicroTech uses AI internally and how we take AI solutions to market - The right leader will help transform our existing AI efforts into a stronger, more structured, and more valuable business capability - This is a high-impact leadership opportunity with direct influence on innovation, growth, customer value, and long-term competitive advantage - Success in this role will help MicroTech build AI solutions that we can use, demonstrate, deliver, and monetize General Information MicroTech is an award-winning Service-Disabled Veteran-Owned Small Business (SDVOSB) and experienced provider of information technology and communications. MicroTech offers a wide range of professional services focused on providing cutting-edge solutions with the customer at the forefront of every decision we make. Solving complex business challenges is our passion — we provide effective, practical solutions that can increase productivity, and decrease costs. MicroTech has developed a well-earned reputation for best-in-class services and solutions using repeatedly proven ISO 9001 Quality Management System, ISO 20000 IT service management, ISO 27001 Information Security Management System, and ITIL® management qualified business processes. We offer great pay, amazing benefits, and our company culture is strong. MicroTech is devoted to people development and providing high achievers opportunities to grow professionally. As an employee, you are surrounded by intelligent, driven colleagues and have the benefit of a culture that is focused on bringing out the best in everyone. Our benefits include: •     Insurance (medical, dental vision) •     Paid Time Off (PTO): 15 days during the first year; 20 days annually after one year of service •     401k Plan with Employer Matching Contribution •     10 Company-Paid Holidays •     Tuition Assistance •     Voluntary Benefit Programs •     Corporate Discounts MicroTech is an Equal Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected classes.