Principal Consultant, Gen_AI Engineer with MCP server expertise

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Job Description - Lead Consultant, Gen_AI Engineer with MCP server expertise! (COR033677)

Lead Consultant, Gen_AI Engineer with MCP server expertise! - COR033677

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. 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, tech-driven environment, love solving real-world problems, and want to be part of a team that’s 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 genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Lead Consultant, Gen_AI 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 systems, have professional software development experience, are hands‑on with running machine learning tests and experiments, and are experienced in implementing AI solutions 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.

- 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 of 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 of deep learning and advanced NLP techniques.

- Analyse the use cases of ML algorithms and rank them by their success probability.

- Perform statistical analysis and use results to improve models.

- Train and retrain 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

- Bachelor’s degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field.

- Master’s degree is a plus.

- Expertise in MCP server to develop and deploy GenAI solutions.

- Languages and scripting: Python, SQL.

- Cloud Services (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 solutions.

- Undergraduate degree or Master’s in Computer Science, Data Science, Statistics, Mathematics, or related field.

- Good 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, Node.js, 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.

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 140,000+ 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.

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 'starter kit,' paying to apply, or purchasing equipment or training.

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