AI & ML Architect
Role Overview:
As a Senior Principal Software Engineer, you will be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You will lead high priority projects, set technical direction for teams, and ensure alignment with organizational goals. This
role demands a high degree of technical expertise, strategic thinking, and the ability to collaborate effectively across diverse teams while mentoring and elevating others to meet a very high technical bar.
Key Responsibilities:
**Strategic Technical Leadership** :
• 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.
**Mentorship & Team Growth:**
• Mentor senior and junior engineers, fostering a culture of continuous learning and technical excellence.
• Elevate the team’s capabilities through coaching, training, and providing guidance on best practices and complex problem-solving.
**End-to-End Ownership:**
• Take full ownership of high-impact projects, from ideation and design to implementation, deployment, and monitoring in production.
• Ensure the successful delivery of projects with a focus on quality, timelines, and alignment with organizational goals.
**Collaboration & Influence:**
• Collaborate with cross-functional teams, including product managers, data scientists, and engineering leadership, to deliver cohesive and impactful solutions.
• Act as a trusted advisor to stakeholders, clearly articulating technical decisions and their business impact.
**Operational Excellence:**
• Champion best practices for software development, CI/CD, and DevOps, ensuring robust and reliable systems.
• Monitor and improve the health of deployed services, conducting root cause analyses and driving preventive measures for long-term reliability.
**Innovation & Continuous Improvement:**
• Advocate for and lead the adoption of new tools, frameworks, and methodologies to enhance team productivity and product capabilities.
• Stay at the forefront of AI/GenAI research, driving thought leadership and contributing to the AI community through publications or speaking engagements.
**Minimum Qualifications:**
• 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.
• Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, and LangChain.
• 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.
**Preferred Qualifications:**
• 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 .
It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.