Fellow Software Engineer-Eng (Agentic AI Architecture & Engineering)

About The Role We are seeking a distinguished and customer-facing Fellow AI Engineer to define and lead UKG’s enterprise-wide Agentic AI strategy across the full UKG Product Suite. This role extends beyond technical excellence—it requires a seasoned AI leader who partners closely with customers, sales leaders, product teams, and engineering experts to translate AI innovation into measurable business impact. As a Technical Fellow, you will serve as the strategic and architectural authority for Agentic AI systems. You will shape how autonomous, goal-driven AI agents are designed, deployed, governed, and scaled across all the complete UKG product suite. This role demands a rare blend of deep technical mastery, enterprise architecture thinking, commercial awareness, and executive-level influence and communication. You will operate at the intersection of customer outcomes, product innovation, and engineering excellence—ensuring UKG leads the market in responsible, scalable, and transformative Agentic AI solutions. UKG is unable to offer sponsorship for this position. Responsibilities Agentic AI Vision & Enterprise Strategy Define and drive UKG’s enterprise-wide Agentic AI strategy, establishing a cohesive architectural and execution framework for intelligent agents across the product portfolio and AI Platform. Translate emerging AI capabilities into a clear roadmap aligned with business priorities, customer value, and long-term platform evolution. Customer & Field Partnership Engage directly with strategic customers, sales teams, and solution consultants to: Shape AI-driven value propositions Identify high‑impact agentic use cases Support executive conversations and AI strategy discussions Translate real‑world customer challenges into scalable AI platform capabilities Serve as a trusted AI advisor in customer engagements, industry forums, and strategic deal cycles. Cross‑Functional Leadership Collaborate with Product, Engineering, Data Science, Security, and Legal teams to ensure alignment on architecture, governance, and responsible AI frameworks. Facilitate cross‑functional consensus to operationalize AI agents in a manner that is secure, compliant, and ready for production deployment. Lead discussions on AI technology at the UKG Board level. Technical Authority & Architecture Provide Hands‑on Architectural Leadership In Multi‑agent systems and orchestration frameworks LLM‑powered agents and tool‑use architectures Retrieval‑augmented generation (RAG) and knowledge systems Autonomous workflow execution and decision intelligence AI safety, evaluation, and guardrails Establish standards for scalability, observability, cost optimization, and performance across cloud‑native deployments. Innovation & Applied Research Stay at the forefront of Agentic AI advancements, continuously evaluating emerging models, frameworks, and research. Lead rapid experimentation and incubation of next‑generation AI capabilities, bridging cutting‑edge research with production‑grade systems. Commercial & Product Influence Collaborate with GTM and Product leadership to ensure AI investments translate into differentiated product offerings. Influence pricing models, packaging strategies, and AI monetization approaches aligned with enterprise customer expectations. Responsible AI & Governance Define and champion governance frameworks for autonomous AI systems, including: Transparency and explainability Human‑in‑the‑loop controls Privacy‑preserving architectures Risk management and compliance Ensure AI systems align with UKG’s commitment to trust, fairness, and ethical innovation. Mentorship & Organizational Impact Elevate AI maturity across the organization by mentoring senior engineers and architects. Foster a culture of pragmatic innovation—balancing bold experimentation with disciplined execution. Industry Representation Represent UKG as a thought leader in Agentic AI through publications, keynote speaking, customer roundtables, and industry collaborations. Qualifications Educational Background: PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience. Experience: 15+ years in software development and AI, with at least 5 years of hands‑on experience in generative AI, NLP, or related fields. Proven expertise in architecting and deploying large‑scale AI/ML systems in production environments. Track record of influencing cross‑functional stakeholders, including customer‑facing teams. Technical Proficiency: Expert‑level skills in programming languages (e.g., Python, Java) and AI frameworks (e.g., TensorFlow, PyTorch). Strong understanding of cloud platforms (AWS, Google Cloud, Azure) and MLOps practices for large‑scale model training and deployment. AI Methodologies: In‑depth knowledge of generative AI methodologies, including transformer models, diffusion models, GANs, large language models, and multi‑modal architectures. Familiarity with NLP and machine learning algorithms, such as linear and logistic regression, decision trees, and clustering methods. Experience partnering with sales and customers to shape AI roadmaps. Industry Influence: Recognized thought leader in AI, with a record of publications in top‑tier AI conferences/journals (e.g., NeurIPS, ICML, CVPR) and a strong network within the AI research community. Executive presence with strong communication and storytelling skills. Problem‑Solving & Strategy: Exceptional problem‑solving skills and a proven ability to influence and implement long‑term AI‑driven strategic initiatives. Preferred Qualifications Compliance & Responsible AI: Experience working in high‑compliance environments or with privacy‑preserving AI techniques. Strong familiarity with trends in responsible AI, model interpretability, and ethical AI practices. Optimization Expertise: Proven record of optimizing AI models for cost‑efficiency at scale through model compression, distillation, and efficient deployment strategies. Cloud & DevOps Knowledge: Strong experience with cloud‑native architectures, containerization (e.g., Kubernetes), and CI/CD pipeline automation (e.g., Terraform, GitHub Actions). Pay The pay range for this position is $233,300.00 to $385,000.00 USD. The actual base pay offered may vary depending on skills, experience, job‑related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance‑based bonus plan and to receive restricted stock unit awards as part of total compensation. Benefits Learn more about UKG’s benefits and rewards at Equal Opportunity Employer UKG is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. UKG participates in E‑Verify. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email View email address on click.appcast.io. #J-18808-Ljbffr UKG