Associate – Gen AI Engineer(Visualization CoE)

About Us
Bain & Company is a global management consulting that helps the world's most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.

Who You Will Work With
This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, Alteryx etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc). The role will focus on development, maintenance and evolution of the state-of-the art Gen AI applications.

What You'll Do

• Build GenAI/ML end-to-end solutions using Python and modern LLM/GenAI frameworks by translating business objectives into clear technical requirements.
• Assist in building simple RAG-based applications by integrating LLMs with document retrieval tools to improve accuracy and grounding of AI responses. Help prepare and index datasets into vector stores (e.g., FAISS, Chroma) for use in RAG pipelines.
• Support development of basic agentic or task-oriented AI workflows, where LLMs interact with tools or APIs to automate routine tasks.
• Design and implement prototypes and POCs to validate feasibility and demonstrate solution value.
• Assist in training, fine-tuning, and evaluating NLP/LLM models for tasks such as classification, summarization, retrieval, and conversational use cases.
• Research and experiment with innovative GenAI/LLM techniques to help solve real-world business problems.
• Contribute to CI/CD pipeline development, containerize models, and support deployment to cloud or on-prem environments. Assist with monitoring, testing, and maintenance of deployed models.
• Support documentation of technical designs, approaches, POCs, and development artifacts.
• Participate in testing, user enablement, and production rollout activities to ensure smooth adoption and operational readiness.
• Collaborate with cross-functional teams and stakeholders to understand data needs, integration requirements, and implementation constraints.
• Contribute to internal knowledge creation, including SOPs, reusable components, and best practices for GenAI and ML engineering.
• Stay current on evolving AI/ML techniques, especially LLM capabilities, prompting methods, and GenAI engineering patterns.

About You

• A degree in Computer Science Engineering, or related fields.
• 2+ years of hands-on experience in AI/ML technologies and software engineering (with Python).
• Strong understanding of Generative AI concepts, including prompt engineering, fine-tuning, Model Context Protocol (MCP), embeddings, and vector databases
• Hands-on project experience with Large Language Models (LLMs), Hugging Face, and Retrieval-Augmented Generation (RAG) frameworks
• Proven ability to prioritize projects, manage multiple competing priorities, and deliver results under tight deadlines
• Excellent oral and written communication skills, with the ability to engage effectively with both technical and non-technical senior stakeholders

• Good to have:

• Exposure to CI/CD pipelines (GitHub Actions, Docker, containerization) and cloud platforms (AWS, GCP or Azure), MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments

What Makes Us a Great Place To Work
We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.