Manager _ Data Quality Azure LLM Developer, Azure Open AI

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 Manager _ Data Quality Azure LLM Developer, Azure Open AI
We are seeking a skilled Data Quality Azure LLM DevOps Engineer who will be responsible for designing, deploying, and supporting Data Quality (DQ) platforms and LLM-based solutions on Azure.
The role focuses on building AI-powered data validation, trust scoring, quality rules automation, DQ APIs, and CI/CD pipelines for DQ applications.
The engineer will support AMS operations, perform enhancements, automate DQ workflows, build new LLM microservices, and ensure stable production operations.

Responsibilities
.Build and maintain Azure services such as Azure App Service/Azure Functions, AKS for LLM Microservices, Azure API management, Azure Open AI (GPT-4/5, embeddings, RAG pipelines)
.Design and Develop LLM Driven DQ Engines - Data quality rule generation using LLM, automated DQ scoring, Data Anomaly detection with AI/ML, Data Quality recommendations and remediations using prompt engineering.
.Integrate Azure OpenAI with Data Lake, Synapse, Collibra or Power BI
.Design & Build RAG (Retrieval-Augmented Generation) for metadata, business rules and glossary-driven quality checks.
.Implement enhancements to LLM based DQ frameworks as business evolves.
.Develop new LLM-based DQ modules and microservices & LLM powered metadata search
.Collaborate closely with Business/Functional & technical stakeholders & translate transformational requirements into LLM driven DQ solutions.
.Execute Model Tuning as applicable
.Participate in Agile ceremonies and LLM/AI/ML design sessions.
.Provide SME guidance on best practices for Azure LLM and automated prescriptive solutions.
.Maintain configuration repositories, versioning, and CI/CD pipelines.
.Provide L2/L3 production support & Enhancements for LLM related incidents & adhere to SLA and metrics
.Manage service requests, Access requests, monitoring of Service Logs, Pipeline workload, performance and SLAs.
.Maintain version control & promote builds across Dev QA Prod environments.
.Create and maintain Technical Design Documents, Runbooks, Dashboard User guides
Qualifications we seek in you!
Minimum Qualifications
.Bachelor's or Master's in Science, Technology or related field.
Preferred Qualifications/ Skills
.Master's is preferred.
.Experience with Business Domains e.g. Customer/Vendor/Product data quality dimensions and rules.
.Experience in Agile/DevOps and CI/CD CI/CD for LLM app deployments
.Good communication, stakeholder management, and problem-solving skills.
.Ability to lead technical discussions and governance workshops.
.Ability to work in fast-paced environments.
.Familiarity ML Ops pipelines, AKS deployments for LLM microservices
.Certifications in Azure
.6+ years Experience on Azure OpenAI (GPT 4.x/5.x) , prompt engineering, grounding, system prompting , RAG pipelines (Azure cognitive search, Embeddings, Vector stores)
.Good exposure and experience on overall Data Profiling rules, Data Quality dimensions, metrics and reporting & remediation process.
.Good experience Fine-tuning or supervised training pipelines

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 progress
Come 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.