COMPANY PROFILE

Bain & Company is one of the top management consulting firms in the world that helps the world’s most ambitious changemakers define the future.

Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperforming the competition, and redefining industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes.

The firm established several functions in the Indian market early 2000s and its remit across functions has expanded over time. Since 2019, these functions have become part of Global Business Services (GBS).

Global Business

Services (GBS) is a network of five interconnected business functions hubs across India, Poland, Malaysia, Mexico and Portugal, serving Bain globally to run our business, support other functions, and help drive innovation internally. We are over 1000 business professionals – serving functions in operations, HR, finance, legal, tech, marketing, research, and data analytics – who support our offices globally. Our mantra of “shared innovation, seamless execution,” underpinned by a passion for results, teamwork, and creativity, helps Bain stay at the top of our game operationally.

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. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.

Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work setting. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

About Bain AI, Insights & Solutions (AIS)

Bain’s AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.

The Impact You’ll Have

Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes,



and adoption at scale across the organization

As an AI Engineering leader in AIS, you will support the building of the technical core within these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.

The Role The Expert Senior Manager / Associate Partner AI Engineer will architect, build, and scale next-generation generative AI systems and agentic solutions for Bain’s clients. As a leader in the practice, you will sit at the intersection of advanced engineering, applied AI research, product strategy, and responsible AI governance. You will own the full lifecycle — from research and experimentation to production deployment and ongoing optimization — and guide teams across engineering, product, data science, ethics, and client stakeholders.

You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings. Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn while doing, with support from other experienced teammates, frequent feedback, and increasing responsibility over time.

What You’ll Do Design, build, and deploy end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.

Architect multi-component pipelines, including:

Retrieval-Augmented Generation (RAG)

Fine-tuning and parameter-efficient tuning

Embedding generation and optimization

Hybrid retrieval strategies (vector, graph, keyword)

Integrate reasoning, tool use, function calling, and orchestration across complex workflows

Engineer advanced agentic systems, ensuring clear separation of concerns, robust memory architecture, and scalable tool ecosystems

Lead everything from early-stage research, model experimentation, and evaluation design to production system deployment

Oversee API development, microservices, CI/CD pipelines, observability, and cloud-native deployment

Build scalable GenAIOps processes for automated testing, regression evaluation, latency monitoring,



and continual improvement

Balance performance, safety, responsible AI principles, and cost across system design:

Implement guardrails, fallbacks, red-teaming strategies, and human-in-the-loop (HITL) workflows

Partner with global ethics teams to ensure alignment with Bain’s Responsible AI standards

Build automated evaluation suites integrating user signals, continual learning cycles, and ongoing model updates

Design and implement evaluation frameworks covering:

Hallucination rate and factual consistency

Relevance and precision/recall

Latency, throughput, and system-level performance

Cost tracking and efficiency

Partner closely with product, engineering, data science, ethics, and infrastructure teams to build robust, compliant AI systems

Act as a thought partner to executives and clients on AI strategy, architecture decisions, emerging capabilities, and implementation roadmaps

Mentor and upskill technical teams on best practices including RAG, agents, prompt engineering, and AI safety

What We’re Looking For (Qualifications):

8–12+ years in software engineering, ML engineering, or applied AI roles with significant hands-on building responsibilities

Demonstrated experience leading complex, multi-stack generative AI programs from conception through production

Strong executive communication skills with the ability to translate highly technical concepts to business stakeholders

Track record of leading engineering teams, mentoring technical talent, and collaborating with diverse cross-functional groups

Advanced prompt engineering, context engineering, and conversation design

Strong expertise in evaluation design, experimentation frameworks, and data labeling strategies for LLM apps

Deep experience with

Advanced RAG architectures (vector, hybrid, graph-based retrieval)

Agentic architectures (multi-agent systems, tool selection, routing, memory, planning, reflection)

ReAct, RLAIF, and other HITL + feedback loops.

AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystems

Strong background in system design, architecture, and production-grade deployment

Deep familiarity with cost optimization and computational tradeoffs for LLM workloads

Comfort operating in high-ambiguity environments with collaborative cross-functional teams

Clear ability to lead, mentor, and inspire technical teams

Experience in client-facing consulting or enterprise transformation environments is a solid plus

Working Model & Travel

This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.

Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.

📌 Expert Senior Manager, Software Engineering (Gurugram)
🏢 Bain u0026
📍 Gurugram