Define and drive the technical vision and roadmap for AI/GenAI systems, aligning with company objectives and future growth. Provide architectural leadership for complex, large-scale AI systems, ensuring scalability, performance, and maintainability. Act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. Advanced AI Product Development: Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, and multi-modal architectures. Drive innovation by exploring and integrating emerging AI technologies and best practices. Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; Ph.D. is preferred but not required. Experience: 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. Proven track record of designing and deploying scalable, production-grade AI solutions. Advanced knowledge of AI/ML algorithms, generative models, and LLMs. Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). Leadership Skills: Demonstrated ability to lead complex technical initiatives, influence cross functional teams, and mentor engineers at all levels. Problem-Solving Skills: Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful solutions. Collaboration: Excellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders. AI/ML Expertise: Experience with multi-modal models, reinforcement learning, and responsible AI principles. Cloud & Infrastructure: Advanced knowledge of GCP technologies such as VertexAI, BigQuery,GKE, and DataFlow. Thought Leadership: Contributions to the AI/ML community through publications, open-source projects, or speaking engagements. Agile Experience: Familiarity with agile methodologies and working in a DevOps model. UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation: For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
