Back
Tier-1 employer and metro location increase applicant density, though senior AI leadership narrows the pool.
Highly domain-specific ML infrastructure and enterprise governance requirements limit cross-industry transferability.
Requires deep ML/AI platform, AWS, CI/CD, IaC and leadership experience, enforcing strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage engineering teams to deliver high-quality AI/ML software solutions, ensuring timely delivery within scope and budget.
Oversee AI infrastructure development on AWS platforms focusing on scalability, security, and operational excellence for ML, GenAI, and agentic systems.
Collaborate with cross-functional stakeholders to align technical decisions with business objectives and enhance engineering processes and team productivity.
Experience designing, building, and maintaining AWS platforms for AI workloads, including CI/CD pipelines and IaC deployments.
Proven ability to work with security, governance, architecture, and business stakeholders in complex enterprise environments.
Demonstrated experience in building and managing high-performance technical teams.
Location requirement: Pune. Work Experience Required: Not explicitly mentioned in the JD.
Strategic leader capable of driving AI infrastructure evolution and operational excellence in alignment with business priorities.
Product-oriented mindset emphasizing scalability, self-service, continuous improvement, and user experience in AI platform delivery.
Experienced in Agile environments with demonstrated skills in risk, controls, change management, and business acumen relevant to AI technology leadership.