Mgr. Software Engineering-(AI)

UKG; Town of Florida (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

UKG is seeking a Technical Leader in New York to provide technical leadership and direction for major AI projects while ensuring adherence to industry best practices. Candidates should have 6+ years of software development experience and technical leadership roles.

The role requires expertise in programming languages like C#, .NET, and Python, along with strong problem-solving and communication skills. A Bachelor's degree in Computer Science or Engineering is required.

Qualifications

• 6+ years of experience in software development, including technical leadership.
• Experience leading teams building SaaS, enterprise, or highly available systems.
• Deep expertise in programming languages such as C#, .NET, Python, etc.

Responsibilities

• Provide technical leadership and direction for major projects.
• Maintain high technical standards in code and system design.
• Identify and address service quality issues proactively.

Skills

Technical leadership

Software development

Problem-solving

Communication skills

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Computer Science or related field

Tools

C#

.NET

Python

Java

JavaScript

Azure

AWS

GCP

Job description

• Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices.
• Be hands‑on with code, maintaining high technical standards and actively participating in agent architecture, LLM integration patterns, agentic system design, code reviews, and helping engineers optimize their code.
• Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex AI‑powered software systems and applications.
• Ensure accountability for the team's technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, responsible AI development).
• Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence.
• Guide the team in designing reliable, safe, and observable AI systems, including multi‑agent orchestration, tool and skill design, and prompt engineering standards.
• Play a pivotal role in the R.I.D.E. (Recommend, Inform, Decide, Execute) framework.
• Understand CI/CD pipelines from build, test, to deploy phases.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 6+ years of experience in software development, with 2+ years in a technical leadership role and 2+ years in a people management role.
• Ensure AI‑enabled features are introduced safely, transparently, and compliantly.
• Proven track record of leading and delivering large‑scale, complex software projects.
• Experience leading teams building SaaS, enterprise, or highly available production systems.
• Deep expertise in one or more programming languages such as C#, .NET, Python, Java, or JavaScript.
• Extensive experience with software architecture and design patterns.
• Strong understanding of cloud technologies and DevOps principles.
• Excellent problem‑solving skills and attention to detail.
• Excellent communication and leadership skills, with a demonstrated ability to influence and drive change.
• Master's degree or PhD in Computer Science, Engineering, or a related technical field.
• Experience with LLM APIs (Gemini, OpenAI, Anthropic) or agent frameworks (Google ADK, LangChain, or similar).
• Familiarity with AI evaluation, observability, and testing strategies for non‑deterministic systems.
• Understanding of RAG patterns, prompt engineering, and agentic workflow design.
• Experience with cloud platforms like Azure, AWS, or GCP.
• Familiarity with CI/CD pipelines and automation tools.
• Demonstrated commitment to diversity and inclusion initiatives.
• Familiarity with developing accessible technologies.