Program Manager at eClerx Career Site

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, ML, Generative AI, LLM, RAG, Prompt Engineering, Agentic AI, MLOps, LLMOps, CI/CD, Cloud Platforms, Data Governance, Stakeholder Management, Delivery Leadership, Agile Delivery, Solution Design

Industry

IT Services and IT Consulting

Description

Role Overview The role is responsible for leading end-to-end delivery of enterprise-scale AI, ML, and Generative AI solutions, ensuring production-grade deployments, governance, and measurable business impact. This position combines delivery leadership, GenAI architecture oversight, stakeholder management, and team leadership. Key Responsibilities Own and lead the end-to-end delivery lifecycle of AI/ML and GenAI programs—from problem definition and solution design to production deployment and post-go-live support. Lead and mentor cross-functional teams comprising data scientists, ML engineers, data engineers, and solution architects. Drive delivery of GenAI solutions, including LLM-based applications, RAG pipelines, prompt engineering, fine-tuning strategies, and Agentic AI use-cases. Establish and govern AI delivery frameworks, including MLOps / LLMOps, CI/CD pipelines, model lifecycle management, monitoring, and compliance. Partner with business and CXO stakeholders to translate business objectives into scalable AI solutions and ensure alignment throughout delivery. Ensure adherence to data governance, security, ethical AI, and regulatory standards. Identify delivery risks early and implement mitigation strategies to ensure quality, timelines, and cost efficiency. Drive innovation and continuous improvement, evaluating emerging AI/GenAI technologies and integrating them into delivery practices. Manage delivery budgets, resource planning, vendor partnerships, and stakeholder communications. Required Skills & Qualifications 15+ years of experience in IT delivery, analytics, or data science, with 6+ years leading AI/ML and GenAI programs. Strong hands-on understanding of GenAI architectures, LLMs, RAG frameworks, and AI product delivery. Solid experience with cloud platforms (AWS, Azure, or GCP) and scalable AI deployments. Strong knowledge of MLOps / LLMOps, CI/CD, model deployment, and monitoring frameworks. Proven experience delivering enterprise-scale AI solutions with measurable business impact. Strong leadership, stakeholder management, and client-facing communication skills. Experience working in agile delivery environments. eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Responsibilities

The role is responsible for leading the end-to-end delivery lifecycle of enterprise-scale AI, ML, and Generative AI programs, ensuring production-grade deployments and measurable business impact. This includes driving the delivery of GenAI solutions, governing delivery frameworks, and partnering with stakeholders to translate business objectives into scalable AI solutions.