This role is responsible for driving the end-to-end strategy, governance, and execution of the AI Software Development Lifecycle (AI SDLC) across the organization
Job Summary
This role is responsible for driving the end-to-end strategy, governance, and execution of the AI Software Development Lifecycle (AI SDLC) across the organization.
The role leads cross-functional programs rather than day-to-day DevOps execution, focusing on strategy, alignment, and outcomes across multiple teams and products.
Acts as the primary point of accountability for AI SDLC maturity across the organization and provides regular, concise updates to senior leadership.
Matching Summary
This role is responsible for driving the end-to-end strategy, governance, and execution of the AI Software Development Lifecycle (AI SDLC) across the organization.
Skills & Requirements
Must-have
AI SDLC program leadership
DevX strategy for AI
standardize AI SDLC practices
reference architectures for AI systems
Responsible AI embedded by design
AI/ML Systems & MLOps
CI/CD for AI Pipelines
Nice-to-have
strategic alignment and outcomes
resilience in ambiguous environments
influence without direct authority
customer centricity
Key Requirements
Four-year or Graduate Degree or equivalent practical experience
10+ years of experience in software engineering, DevOps, platform engineering, AI/ML systems, or large-scale technical program management
5+ years leading cross-functional technical programs
AWS Certified DevOps Engineer, AWS Machine Learning, Azure AI Engineer, or equivalent cloud/AI certifications (preferred)
Agile / SAFe Program Consultant (SPC), PMP, or similar program leadership certification (preferred)