Senior Principal Consultant - AI Senior Engineer
Senior Principal Consultant - AI Senior Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Ready to shape the future of work
At Genpact we dont just adapt to changewe drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 thats 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 and on LinkedIn X YouTube and Facebook.
Inviting applications for the role of Senior Principal Consultant - AI Senior Engineer!
In this role youll be leveraging Azures advanced AI capabilities or AWS Advance Ai capability including Azure Machine Learning Azure OpenAI PrompFlow Azure Cognitive Search Azure AI Document IntelligenceAWS Sage Maker AWS Bedrocks to deliver scalable and efficient solutions. You will also ensure seamless integration into enterprise workflows and operationalize models with robust monitoring and optimization.
Responsibilities
AI Orchestration - Design and manage AI Orchestration flow using tools such as: Prompt Flow Or LangChain; Continuously evaluate and refine models to ensure optimal accuracy latency and robustness in production.
Document AI and Data Extraction Build AI-driven workflows for extracting structured and unstructured data fromLearning receipts reports and other documents using Azure AI Document Intelligence and Azure Cognitive Services.
RAG Systems - Design and implement retrieval-augmented generation (RAG) systems using vector embeddings and LLMs for intelligent and efficient document retrieval; Optimize RAG workflows for large datasets and low-latency operations.
Monitoring and Optimization - Implement advanced monitoring systems using Azure Monitor Application Insights and Log Analytics to track model performance and system health; Continuously evaluate and refine models and workflows to meet enterprise-grade SLAs for performance and reliability.
Collaboration and Documentation - Collaborate with data engineers software developers and DevOps teams to deliver robust and scalable AI-driven solutions; Document best practices workflows and troubleshooting guides for knowledge sharing and scalability.
Qualifications we seek in you
Minimum Qualifications
Proven experience with Machine Learning Azure OpenAI PrompFlow Azure Cognitive Search Azure AI Document Intelligence AWS Bedrock SageMaker; Proficiency in building and optimizing RAG systems for document retrieval and comparison.
Strong understanding of AI/ML concepts including natural language processing (NLP) embeddings model fine-tuning and evaluation; Experience in applying machine learning algorithms and techniques to solve complex problems in real-world applications; Familiarity with state-of-the-art LLM architectures and their practical implementation in production environments; Expertise in designing and managing Prompt Flow pipelines for task-specific customization of LLM outputs.
Hands-on experience in training LLMs and evaluating their performance using appropriate metrics for accuracy latency and robustness; Proven ability to iteratively refine models to meet specific business needs and optimize them for production environments.
Knowledge of ethical AI practices and responsible AI frameworks.
Experience with CI/CD pipelines using Azure DevOps or equivalent tools; Familiarity with containerized environments managed through Docker and Kubernetes.
Knowledge of Azure Key Vault Managed Identities and Azure Active Directory (AAD) for secure authentication.
Experience with PyTorch or TensorFlow.
Proven track record of developing and deploying Azure-based AI solutions for large-scale enterprise-grade environments.
Strong analytical and problem-solving skills with a results-driven approach to building scalable and secure systems.
Why join Genpact
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 140000 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.
Lets 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.
Required Experience:
Staff IC
Employment Type
Full-Time
