Job
Description
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. Thisrole 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 BackgroundBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; Ph.D. is preferred but not required.Experience10+ 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.CollaborationExcellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders.
Preferred Qualifications: AI/ML ExpertiseExperience with multi-modal models, reinforcement learning, and responsible AI principles.Cloud & InfrastructureAdvanced knowledge of GCP technologies such as VertexAI, BigQuery,GKE, and DataFlow.Thought LeadershipContributions to the AI/ML community through publications, open-source projects, or speaking engagements.Agile ExperienceFamiliarity with agile methodologies and working in a DevOps model.
Disability Accommodation: UKGCareers@ukg.com.
