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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and architecture of enterprise-scale AI/ML solutions, ensuring high-quality delivery and compliance while mentoring teams and driving collaboration across technical domains. Proficient in AI/ML best practices and frameworks, with a strong focus on model governance and risk mitigation.
Highest-signal resume keywords
AI/ML Solution ArchitectureModel Validation and Performance BenchmarkingTeam Management and MentorshipAI/ML Best Practices and GovernanceProficiency in AWS and Google Cloud Platform
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Artificial IntelligenceMachine LearningDeep Learning AlgorithmsNatural Language ProcessingAI/ML OpsAgentic AISolution ArchitecturePerformance BenchmarkingModel GovernanceTechnical Risk Mitigation
Soft Skills
CollaborationMentorshipCommunication
Tools & Technologies
AWSGoogle Cloud PlatformMicrosoft AzurePyTorch
Certifications & Qualifications
AI & ML (Great Learning)Deep Learning Foundations and Applications (Indian Institute of Technology, Kharagpur)Deep Learning Specialization (Coursera)Generative AI & Large Language Models (Databricks Academy)IBM Machine Learning Specialization (IBM)
Industry Keywords
Enterprise-scale AI/ML SolutionsAdvanced Analytics ProgramsBusiness StakeholdersCompliance RequirementsCritical Business Functions
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPyTorch
About the role
Key responsibilities & impact- Lead design and architecture of enterprise-scale AI/ML solutions across multiple business units and technical domains
- Own end-to-end delivery quality for advanced analytics programs, including model validation, performance benchmarking, and production deployment
- Manage and mentor AI engineers and data scientists, driving technical excellence, capability development, and career progression
- Drive collaboration between data engineering, analytics, and business stakeholders to translate requirements into scalable AI/ML implementations
- Define and establish AI/ML best practices, frameworks, and governance standards across Genpact's analytics portfolio
- Partner with senior leadership to identify high-impact AI/ML opportunities and build business cases for strategic initiatives
- Oversee technical risk mitigation, model governance, and compliance requirements for production AI systems serving critical business functions
Requirements
What you’ll need- Bachelor's degree in Computer Science or Mathematics
- Master's degree in Artificial Intelligence, Software Engineering, or Statistics
- Certifications listed: AI & ML (Great Learning); Deep Learning Foundations and Applications (Indian Institute of Technology, Kharagpur); Deep Learning Specialization (Coursera); Generative AI & Large Language Models (Databricks Academy); IBM Machine Learning Specialization (IBM)
- Proficiency in Agentic AI, AI/ML Ops, AI Agents, AWS, Artificial Intelligence, deep learning algorithms, Google Cloud Platform, machine learning, Microsoft Azure, NLP, PyTorch, Responsible AI, and solution architecture
- English proficiency at C2 level
- Must be eligible to work in the United States; Los Angeles, California-based candidates are not eligible
Benefits
Comp & perks- Hands-on experience, mentorship, and world-class learning opportunities
- Values-driven culture built on integrity and inclusion
- Equal opportunity employment