AVP Sr Manager, DX GenAI Platforms Operations

Ready to build the future with AI
At Genpact, we don't just keep up with technology-we set the pace. 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, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, 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 AVP - DX GenAI Platforms OperationsIn this role, you serve as the operational backbone of the Mars AI eXperiences (MAX) platform-ensuring its continuous performance, compliance, and scalability to meet cross-segment demands. This role is essential to bridge the gap between cutting-edge AI innovation and enterprise-grade service delivery by implementing robust LLMOps practices, maintaining governance alignment, and driving AI operational excellence in consistent Mars Responsible AI principles. Without this role, the risk of fragmented GenAI deployments, inconsistent AI performance, and missed opportunities for AI-driven transformation would significantly increase, impacting Mars%27 ability to scale digital experiences with trust and agility.ResponsibilitiesIn this pivotal role, you will collaborate closely with senior leaders across our organization to drive service management excellence. You will oversee the comprehensive management and operations of our GenAI platforms, ensuring scalability, value creation, and alignment with business objectives. Your key responsibilities will include:Key Responsibilities.Platform Operations & ReliabilityoLead the comprehensive operations of the Mars AI eXperiences (MAX) Platform, ensuring high availability, scalability, and optimal performance of GenAI services across global business units.oImplement strategies to enhance platform reliability and resilience, proactively addressing potential challenges..LLMOps ImplementationoDevelop and operationalize Large Language Model Operations (LLMOps) practices, encompassing model deployment, monitoring, versioning, rollback, and performance tuning at scale.oEnsure efficient management of AI models to maximize their effectiveness and business impact..Service Management & SupportoEstablish and manage robust service management processes, including incident management, service-level agreements (SLAs), change management, and continuous service improvement for GenAI platforms.oDrive excellence in service delivery through proactive support and management strategies..Governance & Compliance AlignmentoEnsure platform adherence to Responsible AI, data privacy, security, and compliance policies by collaborating with Segment, Corporate, Enterprise Architecture (EA), and the GenAI Center of Excellence (COE) governance bodies.oImplement frameworks to uphold ethical and secure AI practices..Platform Roadmap ExecutionoOperationalize the GenAI platform roadmap by translating strategic priorities into scalable and secure service offerings, infrastructure improvements, and automation pipelines.oDrive the execution of initiatives that align with organizational goals and enhance platform capabilities..Cross-Segment EnablementoPartner with DX GenAI platform and product teams, developers, and business stakeholders to enable AI-driven solutions through reusable services, templates, SDKs, and APIs that accelerate innovation.oFoster collaboration to drive cross-segment AI adoption and innovation..Monitoring, Observability & ReportingoTrack key performance indicators (KPIs) for platform and product utilization, model effectiveness, and business impact.oImplement proactive monitoring, observability, and telemetry frameworks to ensure platform health, usage tracking, cost transparency, and early issue detection..Operational Readiness & Change AdoptionoDrive operational readiness for new features and AI models through runbooks, support enablement, risk assessments, and change communication across stakeholders.oEnsure smooth transitions and adoption of new technologies within the organization..Incident & Problem Management LeadershipoLead root cause analysis, post-mortems, and continuous improvement efforts for platform incidents or performance degradation to strengthen resilience.oImplement strategies to prevent recurrence and enhance platform stability..AI Fluency & EvangelismoPromote AI fluency within the broader organization by sharing best practices, operational playbooks, and success stories from GenAI platform adoption.oAdvocate for AI-driven transformations and educate stakeholders on the benefits and applications of AI technologies..Stakeholder EngagementoServe as the primary liaison between business segments, DX Leadership, GenAI COE, technology, and GDO teams to drive alignment on GenAI initiatives.oEducate and influence senior executives, advocating for AI-driven transformations while addressing concerns around risks, ethics, and compliance..Collaboration with Other Technology TeamsoWork closely with Enterprise Architecture, Data, Cloud, Security, and Responsible AI teams to integrate the GenAI platform within the broader technology ecosystem.oAlign with platform engineering teams to ensure scalable infrastructure that supports AI workloads efficiently.oPartner with external AI providers and research institutions to stay ahead of advancements and incorporate cutting-edge capabilities into the platform..Responsible AI & ComplianceoChampion ethical AI practices, ensuring all deployed GenAI models adhere to Mars Responsible AI framework and regulatory standards.oImplement bias detection, explainability, and risk mitigation mechanisms to ensure fair, accountable, and transparent AI applications.oStay abreast of global AI regulations and compliance requirements, ensuring platform readiness for evolving legal landscapes..Budget & Financial OversightoManage the DX Engineering team's financial planning and budget allocation for GenAI initiatives, including planned platform costs and vendor partnership costs.oEnsure cost-effective delivery by optimizing resources, tracking expenditures, and identifying opportunities for efficiency gains while aligning with business objectives and financial constraints.

Qualifications we seek in you!
Minimum Qualifications.Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.Certifications in cloud platforms (e.g., Azure, AWS, GCP) and/or ITIL Service Management preferred.Advanced coursework or certifications in AI/ML, MLOps, or LLMOps is a strong plus.Ongoing learning and participation in GenAI or platform operations communities is encouraged.Professional proficiency in English.Experience in enterprise technology roles, with experience focused on platform operations or service management.Hands-on experience with managing GenAI/ML platforms and LLM-based services (e.g., OpenAI, Anthropic, Azure OpenAI, Hugging Face).Proven track record in implementing and scaling MLOps or LLMOps practices in a production environment.Strong understanding of AI governance, data privacy, and Responsible AI frameworks.Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies.Demonstrated ability to lead cross-functional teams and operate within complex enterprise ecosystems.Familiarity with monitoring, observability, and platform telemetry tools (e.g., Prometheus, Grafana, Azure Monitor).Exceptional communication and stakeholder engagement skills to partner with business, technical, and governance teams.Experience managing platform SLAs, incident management, and continuous improvement cycles in high-availability environments.Ability to balance strategic thinking with hands-on execution in a fast-paced, evolving landscape

Preferred Qualifications/ Skills
.Experience with big data technologies..Familiarity with machine learning concepts and algorithms..Certifications in Databricks associate level.

.Why join Genpact
.Lead AI-first transformation - Build and scale AI solutions that redefine industries.Make an impact - Drive change for global enterprises and solve business challenges that matter.Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills.Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace.Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build.Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progressCome join the 140,000+ coders, 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.