Principal Consultant, GenAI Engineer with MCP server expertise!

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 Principal Consultant GenAI Engineer with MCP server expertise!
In this role we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate AI engineers with GenAI.
Responsibilities
Design and implement GenAI-powered workflows including agentic architectures tool-enabled agents and multi-step orchestration pipelines.
Implement AI systems leveraging MCP Server paradigms for tool augmentation secure capability exposure and modular AI application design
Design and implement GenAI-powered workflows including agentic architectures tool-enabled agents and multi-step orchestration pipelines.
Build and optimize RAG pipelines (indexing retrieval embeddings vector databases) to enhance the performance and reliability of LLM applications.
Develop and deploy AI solutions using LLMs and SLMs enabling capabilities such as summarization reasoning text generation Q&A classification and autonomous decision-making
Experience in AI/ML Architecture .
Excellent knowledge on Python
Close the gap between AI research and production to create ground-breaking new products features and solve problems for our customers with GenAI
Build and implement machine learning models and prototype solutions for proof-of-concept
Scale existing AI models into production on a variety of cloud platforms with GenAI
Analyze and resolve architectural problems working closely with engineering data science and operations teams.
Good working knowledge on deep learning and advanced NLP techniques
Analysing the use cases of ML algorithms and ranking them by their success probability
Performing statistical analysis and using results to improve models.
Training and retraining ML systems and models in real-world situations
Good Understanding of LLMs and Gen AI technologies.(Azure Open AI Lang Chain etc.)
Experience in Agentic AI and RAG
Exposure to cloud platform (AWS/Azure/GCP)

Qualifications we seek in you!
Minimum Qualifications / Skills
Bachelors degree in computer science engineering information technology or BSc in Computer Science Mathematics or similar field
Masters degree is a plus
Expertise in MCP server to develop and deploy GenAI Solutions
Containerization Docker Kubernetes etc
Languages and scripting: Python SQL
Cloud Services ((Any one))- AWS GCP Azure and Cloud Native
Analytics and AI tooling Sagemaker GenAI
Ensure GenAI outputs are contextually relevant
Familiarity with Generative AI technologies Design and Implement GenAI Solutions
Collaborate with service line teams to design implement and manage Gen-AI solution

Preferred Qualifications/ Skills
Undergraduate degree or Masters in Computer Science Data Science Statistics Mathematics or related field.
4 years of hands-on experience in AI/ML engineering data science or intelligent systems.
Strong proficiency in Python including AI/ML libraries such as Pandas NumPy scikit-learn TensorFlow and PyTorch.
Experience developing and deploying GenAI RAG pipelines LLM/SLM applications and agentic workflows.
Hands-on experience working with MCP Server architectures tool-augmented models or modular capability frameworks.
Good to have : Software engineering experience with backend languages such as Python or Ruby.
Experience with SQL and NoSQL databases (MySQL PostgreSQL MongoDB) and vector databases (e.g. FAISS Chroma Weaviate Pinecone) is a plus.
Strong understanding of RESTful API design and integration with AI systems.
Experience with Databricks large-scale data processing and MLOps practices.

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.