Location: Gurugram, India

- Date Posted: Jun 29, 2026

About Alvarez & Marsal

Alvarez & Marsal (A&M;) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M;'s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.;

About A&M; Global Capability Center Private Limited

In 2023, A&M; established a high-quality global capability center in India. The capability center has dedicated centers of expertise which work with A&M; leadership across multiple business units and geographies to enable efficient service delivery to A&M; clients.

The GCC is designed to efficiently and innovatively scale client delivery teams to meet ongoing demands. It helps A&M;'s global business units expand their talent pool in India, allowing them to hire specialized professionals, maintain competitive pricing, accelerate delivery speeds with a hybrid onshore-offshore team, and leverage automation with top-tier digital and analytics talent. The GCC blends industry and consulting professionals across multiple domains to drive change and add value.

Unlike traditional GCC models focused on back-office support, we partner with case teams for end-to-end case delivery and thought leadership. Nearly 90% of our consultants hold advanced degrees, and our leadership team boasts over 1000 years of combined experience. We serve all major markets, including the Americas, EMEA, and APAC, and work across various industries such as Consumer & Retail, Healthcare,



Software & Technology, Automotive & Industrials, Hospitality & Leisure, Energy & Natural Resources, and Financial Services.

As we embark on this unique journey, the firm is actively seeking to build a strong, capable team for the center. The GCC is growing rapidly and is already a 900+ member team.

How will you contribute?

- Lead discovery and translating business goals to accurate AI problem statements.
- Design AI user journeys and interaction patterns
- Collaborate with Design to prototype AI-native interaction models: conversational interfaces, co-pilots, autonomous agents, and ambient AI experiences.
- Define and own the AI product principles and Drive model selection strategy across products.
- Design and own the core AI platform stack: LLM gateway, prompt management service, context/memory layer, retrieval infrastructure (RAG), and evaluation harness.
- Establish Ai Products in compliance with platform reliability and Responsible Ai practices
- Infuse Ai Platform Observability, Evaluation and Continuous Improvement practices.
- Own Ai Products / Platform Deployment, AI Product marketplace and Commercial monetization.
- AI Product Design & Strategy - Own the end-to-end AI product strategy: set the vision, define north-star metrics, and build a prioritised roadmap across multiple AI product surfaces.
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Qualifications





- 8 - 13 years of experience in Data Science & AI Engineering and 3+ years in AI/ ML Product and Platform roles.
- Bachelor's or master’s in engineering, Data Science or Product engineering
- Demonstrable track record designing and shipping AI platforms or AI-first products at scale.
- Strong platform engineering fundamentals: API design, distributed systems, reliability, observability.
- Experience building multi-tenant, API-first services on AWS, GCP, or Azure.
- Familiarity with Large Language Model (LLM) risk landscapes, including hallucination, prompt injection, and model misuse.
- Deep expertise in LLM systems: RAG, fine-tuning, RLHF, prompt engineering, context management.
- Ability to write and own PRDs, strategy documents, and architecture decision records (ADRs).
- Strong product intuition — can interview users, define metrics, and make prioritisation calls.
- Strong communication, stakeholder management, and team leadership skill

Nice to have

- Experience building internal AI developer platforms or AI-as-a-Service products.
- Familiarity with agentic frameworks: LangGraph, AutoGen, CrewAI.
- Exposure to multimodal AI — vision, audio, document intelligence
- Background in financial services, healthcare, or regulated industries
- Prior experience at a platform company or AI-first startup (Series B+).
- Strategic thinking to define long term AI-governance vision and bring in regulatory acumen.

Your journey at A&M;

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top

📌 Associate Director, Product Architect, Dts - Global Capability Center (Gurugram)
🏢 Alvarez E Marsal
📍 Gurugram