Lead, Software Development AI Practice

Due to growth, we are adding a Lead, Software Development AI Practice to our team!

The Lead, Software Development AI Practice owns the software development and delivery AI enablement practice, setting its direction and ensuring AI adoption across both the delivery team (product) and the developer teams (PODs). This role builds organizational capability by establishing scalable enablement methods, reusable tools, standards, training, communities of practice, and coaching mechanisms that help teams adopt AI effectively and consistently, with the outcomes of improved quality and a measurable increase in efficiency in delivering the software solutions our business needs.

The Lead, Software Development AI Practice will also serve as the subject matter expert, and serve on the overall AI Governance Board, on AI platforms, generative AI, and agentic workflows/tools. This role builds our AI practice through hands‑on coaching, demonstrations, proof-of-concept AI initiatives, and scalable enablement. The role will ensure our AI practices align with the with enterprise architecture principles, security requirements, our Data Engineering current and future states, and regulatory standards while enabling innovation and business value.

Is this you? Find out more below!

How do I make an impact on my team?

• Partner with many groups across Navitus (Software Development and Delivery, Architecture, Security, Data Services, and business stakeholders to identify and prioritize high-value AI use cases that improve software quality, engineering productivity, operational efficiency, and business outcomes.
• Establish reusable AI patterns, reference architectures, integration approaches, and development standards for generative AI, machine learning, and agentic AI capabilities.
• Build and maintain AI-enabled services and components, including model interfaces, orchestration services, agent frameworks, prompt/tooling patterns, and reusable developer enablement assets.
• Lead proof‑of‑concept and pilot initiatives that demonstrate practical AI value, then convert successful experiments into repeatable capabilities for broader adoption.
• Provide hands‑on coaching, demonstrations, and daily enablement to developers, delivery roles, and product teams on effective AI tools, tactics, and responsible usage.
• Serve as the primary AI adoption point of contact for Software Development and Delivery, influencing teams through expertise, practical value, and strong partnership rather than direct reporting authority.
• Ensure AI solutions comply with enterprise AI governance, responsible AI standards, security requirements, data privacy expectations, auditability needs, and model transparency principles.
• Support agentic AI workflows, including orchestration, tool integration, context management, workflow design, and human‑in‑the‑loop controls.
• Own AI adoption measurement, including tools, metrics, reporting, training, and leadership updates that demonstrate usage, quality improvement, efficiency gains, and business impact.
• Evaluate emerging AI platforms, tools, and capabilities for fit with enterprise architecture, security, scalability, interoperability, cost, and Software Development and Delivery needs, and recommends appropriate adoption approaches.
• Minimal travel may be required for meetings, training, or other business needs.
• Other duties as assigned.

What our team expects from you?

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering or related field, or equivalent work experience, required.
• AWS Certified Solutions Architect Professional and AWS Certified Machine Learning – Specialty certification preferred. Responsible AI/AI Governance certification preferred.…