Assistant Vice President – AI Model Operations Practice

Genpact; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hands-on experience and mentorship

Continuous learning opportunities

Job summary

A leading technology services company based in Hyderabad is seeking an Assistant Vice President for AI Model Operations. This role involves driving large-scale AI and ML ecosystems and developing innovative solutions while ensuring effective cross-team collaboration. Candidates should have a strong background in AI Model Operations and excellent project management and communication skills. The position offers opportunities to lead impactful transformations in AI and technology.

Qualifications

• Proven track record in AI Model Operations roles, with varied experience in scaled managed operations.
• Deep understanding of AI Model Operations technologies and best practices.
• Demonstrated ability to collaborate effectively across diverse teams and functions.

Responsibilities

• Conduct in-depth research to identify emerging AI Model Operations risks and trends.
• Design and implement innovative solutions to drive AI Model Operations.
• Work closely with various teams across the organization to build effective measures.

Skills

AI Model Operations Expertise

Data Analysis

Cross-functional Collaboration

Project Management

Communication Skills

Education

MBA or Advanced Degree in relevant field

Tools

Python

SQL

Job description

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Assistant Vice President – AI Model Operations Practice

This leader will play a central role in shaping how large-scale AI and ML ecosystems operate, learn, and improve. This role demands someone who can deeply understand the products and models we support, how human-in-the-loop workflows impact model quality, and how operational data feeds into model evolution. He/she will help grow our practice in this field (which includes Data labeling / Annotation, Generative AI Operations, Responsible AI practices) through research and insights, identifying new growth areas, drive new deals and bring new business and thought-leadership for existing clients

Responsibilities

Research & Analysis: Conduct in-depth research to identify emerging AI Model Operations risks, trends, regulations, and distinct industry specific vulnerabilities. Analyse complex information, data sets to understand patterns and root causes of issues.

Capability Development: Design and implement innovative solutions to drive AI Model Operations. This includes developing new policies, processes, tools, and technologies. Ability to ideate and create first time solutions to evolving challenges.

Cross-functional Collaboration: Work closely with various teams across the organization, including engineering, product, legal, consulting, and risk, to build holistic and effective AI Model Operations measures.

External Partnerships: Build and maintain relationships with external stakeholders, such as industry partners, civic society, academia, and crowdsourcing players, to stay ahead of emerging trends and derive best practices.

Scalability: Develop scalable AI Model Operations solutions that can adapt to platforms and challenges of various dimensions

• Thought Leadership: Represent the company as a thought leader in the AI Model Operations space through presentations, publications, and industry engagement.

Qualifications we seek in you!

Minimum Qualifications / Skills

• Proven track record in AI Model Operations roles, with varied experience in scaled managed operations and crowdsourced work
• Deep understanding of AI Model Operations technologies and best practices.
• Experience with data analysis and research methodologies.
• Demonstrated ability to collaborate effectively across diverse teams and functions.
• Strong project management skills and the ability to deliver results in a fast-paced environment.
• Excellent communication and presentation skills.

Preferred Qualifications/ Skills

• Strong understanding of AI operations, human-in-the-loop systems, annotation strategies, and supervised learning workflows.
• Familiarity with ML concepts including training data pipelines, ground-truth quality, feature labeling, taxonomies, keyword hierarchies, and model evaluation metrics.
• Experience working with ML/AI product, engineering, or data science teams to refine guidelines, requirements, or annotation strategies.
• Knowledge of labeling tools, annotation platforms, quality scoring frameworks, sampling methodologies, and reviewer decisioning systems.
• Strong analytical skills with experience in error analysis, confusion matrices, edge-case segmentation, and root-cause pattern identification.
• Exposure to AI/ML technologies such as classification models, ranking systems, safety models, active learning, reinforcement learning, or LLM-assisted workflows.
• Ability to conduct structured research including workflow audits, field studies, data quality assessments, and competitive landscape benchmarking.
• Proven ability to translate ambiguous operational issues into clear product problem statements and actionable recommendations.
• Strong communication and storytelling skills, with an ability to present AI-related concepts to non-technical operations and leadership teams.
• Experience managing cross-functional relationships with product, engineering, operations, training, and QA partners in fast-paced environments.
• Familiarity with tools such as Python, SQL, or analytics platforms is a plus (even if not hands-on coding).
• MBA or advanced degree preferred; background in AI operations, data annotation, or ML-driven products is an advantage.

• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.