Assistant Vice President, AWS AI Lead

Ready to shape the future of work

At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , 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&rsquos 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 implementdata, technology, and AI to create tomorrow, today. Get to know us at and on , , , and .

Inviting applications for the role of Assistant Vice President, AWS AI Lead!

In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer&rsquos business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools.

Responsibilities

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  Design and deliver AI/ML/GenAI solutions using AWS services across one or more industry verticals (CPG, BFSI, etc.).

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  Architect and implement solutions using Amazon Bedrock, SageMaker, Lex, Connect, Amazon Q, and AWS AI toolchains.

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  Apply Generative AI, LLM fine-tuning, RAG architectures to solve client business problems.

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  Lead initiatives in Agentic AI frameworks to solve business use cases.

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  Lead delivery teams through all phases: data preprocessing, model training, hyperparameter tuning, evaluation, and deployment.

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  Develop project blueprints, solution documentation, and delivery roadmaps aligned with client expectations.

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  Drive AI solution integration into production systems in collaboration with digital product and engineering teams.

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  Conduct applied research on LLMs, NLP/NLU, Deep Learning, and publish technical white papers or patents.

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  Engage with C-level and technical stakeholders to align AI strategy with business goals.

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  Stay updated on AI advancements and evangelize best practices and innovation within internal and client ecosystems.

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  Understanding of responsible AI, AI governance, and model interpretability

Qualifications we seek in you!

Minimum Qualifications / Skills

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  MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.

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  Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience

Preferred Qualifications/ Skills

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  Experience in sectors such as CPG, Banking/Finance, or Healthcare with domain-specific AI use cases.

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  Full cycle experience is desirable in at least 1 Large Scale Text Mining/NLP project from creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework

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  Exposure to text mining platforms like OpenNLP, GATE, UIMA, Lucene.

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  Experience with dialog systems, contact center AI (Amazon Connect/Genesys), or customer support automation.

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  Proven track record of delivering large-scale AI/ML/NLP/GenAI projects end-to-end.

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  Skilled in project planning, blueprinting solution, stakeholder management, and agile delivery.

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  Experience leading cross-functional teams across geographies and functions.

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  Strong written and verbal communication skills ability to present technical solutions to business stakeholders.

Preferred Certifications:

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  AWS certifications: Machine Learning - Specialty, Solutions Architect

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  AWS Certified Data Analytics - Specialty

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  Additional cloud certifications in Azure or Google cloud are advantageous.

Why join Genpact

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  Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation

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  Make an impact - Drive change for global enterprises and solve business challenges that matter

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  Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities

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  Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day

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  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&rsquos 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.