AI Engineering Lead – SDLC & Development Focus

Project description

Join Our Team: Innovating Health Care with Cutting-Edge Technology

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration, and opportunity — and this is what you get. We are at the forefront of technology in an industry that is transforming the lives of millions. Here, innovation isn't just about creating another gadget; it's about making health care data accessible whenever and wherever people need it — safely and reliably.

If you're passionate about driving change and looking for a place to make an impact, this is the place to be. It's an opportunity to do your life's best work. Project Description: We are looking for a senior AI Engineering Lead to drive AI adoption across enterprise software engineering teams. The role will focus on embedding AI-assisted development practices throughout the SDLC, improving engineering productivity, and providing technical leadership and coaching to distributed development pods.

Responsibilities

• Responsibilities:

  Drive adoption of AI-assisted practices across the full SDLC. Coach developers on AI-assisted coding, requirements analysis, test generation, code reviews, and documentation. Define AI engineering best practices, standards, and guardrails. Identify opportunities to improve developer productivity through enterprise-approved AI tools. Provide architecture and design guidance for AI-enabled applications and agents. Mentor offshore pod leads and developers and provide technical oversight across delivery teams.

SKILLS

Must have

• Mandatory Skills Description: Strong hands-on software engineering background with experience applying AI/GenAI technologies across the SDLC. Proven ability to guide architecture and design of AI-enabled applications, establish engineering standards and guardrails, and coach development teams on effective use of AI for coding, testing, requirements analysis, code reviews, and documentation. Strong technical leadership experience working with distributed engineering teams is required.

  Experience building AI agents or enterprise GenAI solutions, leading offshore delivery pods, and implementing AI productivity initiatives in large-scale or regulated enterprise environments. Healthcare industry experience and familiarity with enterprise-approved AI platforms are preferred.

  Mandatory Skills: Generative AI / AI Engineering Software Development Lifecycle (SDLC) AI-Assisted Software Development Software Architecture & Design Java / JavaScript / Python Technical Leadership Engineering Governance

Nice to have

Exceptional communication skills.

Ability to deliver exceptional customer service with a positive attitude.