Job Description
About Us We are a staffing services technology company that helps organizations design, build, and scale digital products and engineering capabilities. Our teams deliver end-to-end software development, engineering, and design services, and we provide flexible staffing solutions to augment internal teams with specialized talent—quickly and reliably. The Role We are seeking an innovative and resilient Director of AI Development to lead our distributed engineering team. Whether you’re a seasoned Machine Learning Architect ready to design complex neural networks or an NLP specialist optimizing large language models, you’ll have a pivotal role on our technology ladder. You will lead the full AI/ML development lifecycle, bridging data science, backend engineering, and product needs to build intelligent systems that solve real-world problems. You will set strategy, define roadmaps, mentor engineers, and drive high-impact AI initiatives across multiple client engagements and internal platforms. What You’ll Do Build & Solve Design, develop, and deploy scalable AI/ML models and systems. Diagnose model performance issues, optimize inference times, and guide integration of AI features into core products with clear, measurable outcomes. Leadership & Collaboration Own the AI product roadmap in collaboration with Product Managers, Data Scientists, and Backend Engineers. Lead cross-functional squads in an Agile environment to operationalize prototypes, share technical insights, and refine API documentation. Quality, Speed & Excellence Ensure high model accuracy, low latency, and robust operationalization. Manage multiple workstreams with a disciplined backlog, rigorous code quality standards, and reproducible experiments. Establish and promote engineering best practices (CI/CD, testing, instrumentation, observability) across AI initiatives. People & Mentorship Build, coach, and grow a high-performing AI/ML engineering team; foster a culture of learning, experimentation, and psychological safety. Promote best practices for remote collaboration, knowledge sharing, and career development. Governance & Risk Ensure compliance with data handling, privacy, and security requirements; address regulatory considerations relevant to client industries. Drive responsible AI practices, including bias monitoring, interpretability, and auditability. What We’re Looking For Experience 10+ years of professional experience in Software Engineering, Data Science, or Machine Learning in production environments. Prior leadership or management experience overseeing AI/ML programs or teams. Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related field (or equivalent practical experience).