AI Engineering Lead – SDLC & Development Focus

Luxoft is seeking a senior AI Engineering Lead to support enterprise software engineering teams. The role drives AI adoption across the SDLC, improves engineering productivity, guides architecture for AI-enabled applications, and provides technical leadership and coaching to distributed development teams.

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

Requirements:

• 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
• Generative AI / AI Engineering
• Software Development Lifecycle (SDLC)
• AI-Assisted Software Development
• Software Architecture & Design
• Java / JavaScript / Python
• Technical Leadership
• Engineering Governance
• Healthcare industry experience and familiarity with enterprise-approved AI platforms are preferred
• Exceptional communication skills
• Ability to deliver exceptional customer service with a positive attitude