Description

About Alvarez & Marsal

Alvarez & Marsal (A&M;) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. 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.;

The Team The Commercial Excellence CoE is a pivotal function within A&M;’s broader global Commercial Excellence practice, serving as the GCC-based hub and Supports Pricing, Sales effectiveness, Customer retention & renewals and other commercial excellence topics working closely with our U.S-based team across both B2C and B2B businesses. Our team plays a critical role in consolidating and scaling A&M;’s Commercial Excellence capabilities bringing analytical rigor, commercial insight, and operational know-how to help clients unlock measurable margin improvement. As part of our firm’s continued investment in building out a full spectrum Commercial Excellence offering, the CoE acts as both a capability enabler and innovation engine developing reusable methodologies, diagnostic tools, and accelerators that support pricing transformation initiatives across industries and markets.

Joining our team means being at the forefront of Commercial Excellence analytics and strategy, working closely with global teams to deliver high-impact outcomes in an area that is increasingly core to our clients' commercial success.

How You Will Contribute

- Product Development & Innovation (Agentic AI for Commercial Excellence)
- Lead the design and development of agentic AI workflows across key Commercial Excellence levers (pricing, churn, revenue analytics, salesforce effectiveness)
- Translate business problems into AI-enabled solution architectures, including:
- Multi-agent systems for decisioning (e.g., pricing recommendations, churn interventions)
- LLM-powered in sight generation and narrative synthesis
- Conversational AI interfaces for tools (e.g., chatbot-driven analytics navigation)
- Build and scale modular, reusable AI accelerators and assets (e.g., Commercial Excellence AI modules, insight engines, recommendation agents)
- Define product roadmap for the AI-enabled Commercial Excellence platform, including integration with enterprise systems (ERP, CRM, data lakes)
- Partner with engineering teams to ensure scalable, production-grade deployment architectures (APIs, microservices, cloud platforms)
- Continuously optimize systems for performance, scalability,



latency, and cost efficiency
- Generative AI & Agentic Systems
- Architect and govern scalable, reusable agentic AI frameworks for enterprise use cases
- Define orchestration and execution patterns for multi-agent systems (event-driven workflows, planning/reflection loops)
- Develop reusable agent templates, blueprints, and context frameworks to accelerate deployment across Commercial Excellence use cases
- Evaluate solution design trade-offs across business value, data readiness, model performance, and cost
- Drive the development of PoCs, MVPs, and production-grade solutions, ensuring smooth transition from experimentation to scaled deployment
- Determine optimal use of LLMs vs traditional ML / rules-based approaches based on use case requirements
- Model Lifecycle, Quality, Cost & Risk Management
- Establish and govern MLOps / LLMOps frameworks, including model development, deployment, monitoring, and iteration
- Define and implement CI/CD pipelines, evaluation frameworks, and retraining workflows
- Optimize key components such as retrieval strategies, embeddings, prompting, grounding, and caching
- Drive improvements in model accuracy, relevance, latency, and cost efficiency, while minimizing hallucinations
- Implement frameworks for model evaluation, explainability, and robustness
- Ensure adherence to Responsible AI principles, including bias mitigation, privacy, security, and regulatory compliance

Qualifications

- 3-8 years of experience in consulting, analytics, AI/ML, or product-led environments, ideally with exposure to Commercial Excellence / Revenue Growth / Pricing domains
- Proven experience building and deploying Generative AI and Agentic AI solutions in real world applications
- Solid understanding of Agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen, or equivalent
- Experience developing LLM-based applications, including: Retrieval-Augmented Generation (RAG) • Insight generation and summarization
- Conversational interface

- Proficiency in Python, SQL, and ML/AI libraries (e.g., Pandas, Scikit-learn, PyTorch)
- Experience with API development (FastAPI/Flask) and deploying solutions on cloud platforms (Azure, AWS, or GCP)
- Understanding of multi-agent orchestration, tool usage, memory, and planning paradigms
- Familiarity with data pipelines, model deployment, and productizing considerations




- Strong understanding of MLOps / LLMOps, APIs, and cloud-native architectures
- Experience with foundational models and APIs (e.g., OpenAI, Anthropic Claude, Google Vertex AI, Amazon Bedrock)
- Proven experience delivering AI-powered SaaS or internal platforms to automate workflows and enhance customer experience
- Strong business acumen with the ability to align AI strategy with enterprise goals
- Excellent problem-solving, communication, and leadership skills, with adaptability to the rapidly evolving AI landscap
- Commercial Excellence & • Business Acumen - Strong understanding of Commercial Excellence concepts, including, but not limited to: Pricing and margin optimization

- Customer segmentation and churn
- Revenue analytics and growth strategy
- Salesforce effectiveness
- Ability to translate business problems into AI-driven solutions

- Experience in data-driven problem solving and executive storytelling
- Experience working with senior stakeholders to shape commercial strategy and drive adoption, including leading workshops, influencing decision-making, and aligning cross functional teams (sales, finance, product)
- Ability to develop clear, compelling executive storylines, distilling complex analyses and AI outputs into concise recommendations for C-suite audiences
- Support managers and senior team members in delivering AI-enabled Commercial Excellence projects across product development, PoCs, demos, and client delivery
- Take ownership of defined work modules, including analysis, data preparation, model testing, workflow configuration, documentation, and output quality checks
- Work comfortably in ambiguous and fast-moving environments, showing curiosity, adaptability, and willingness to learn new AI tools and commercial concepts
- Communicate progress, issues, and findings clearly to internal teams; proactively escalate risks or dependencies where required

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-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey.

Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M.; The possibilities are endless for high-performing and passionate professionals.

📌 Senior Associate, Gen AI & Agentic AI Commercial Excellence COE, BTS - Global Capability Center (Gurugram)
🏢 Alvarez u0026 Marsal
📍 Gurugram