Managing Consultant, AI Subject Matter Expert - Advisors & Consulting Services
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Key skills for this role
About the Role
Mastercard is seeking a Managing Consultant, AI Subject Matter Expert to lead end-to-end delivery of AI transformation initiatives for clients. The role requires deep hands-on expertise in Generative AI and Agentic AI systems, with experience in consulting and AI delivery.
Key Skills for This Role
Responsibilities
- Lead client engagements focused on GenAI and agentic AI solutions, from discovery and architecture through delivery and scale
- Translate business problems into LLM driven and agent based solutions (e.g., autonomous workflows, AI copilots, decision agents)
- Act as a hands on delivery lead, reviewing prompts, agent logic, RAG pipelines, evaluation metrics, and deployment approaches
- Manage multi disciplinary teams (AI engineers, data scientists, cloud engineers, UX) using agile delivery models
- Own client communication, roadmap definition, risk management, and value realization
- Ensure solutions meet security, governance, compliance, and responsible AI standards
- Support pre sales by contributing to proposals, solution design, and client workshops
Requirements
- 8–12+ years of experience in consulting, digital transformation, or AI delivery roles
- Strong, practical experience working with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or open source models)
- Hands on experience with prompt engineering, RAG architectures, and agentic frameworks
- Proven track record managing complex client engagements with senior stakeholders
- Ability to bridge business strategy and technical execution
Full Job Posting
Title and Summary
- Managing Consultant, AI Subject Matter Expert Advisors & Consulting Services
- Managing Consultant – Strategy & Transformation – AI Specialist
- Advisors & Consulting Services
Key Responsibilities
- Lead client engagements focused on GenAI and agentic AI solutions, from discovery and architecture through delivery and scale
- Translate business problems into LLM driven and agent based solutions (e.g., autonomous workflows, AI copilots, decision agents)
- Act as a hands on delivery lead, reviewing prompts, agent logic, RAG pipelines, evaluation metrics, and deployment approaches
- Manage multi disciplinary teams (AI engineers, data scientists, cloud engineers, UX) using agile delivery models
- Own client communication, roadmap definition, risk management, and value realization
- Ensure solutions meet security, governance, compliance, and responsible AI standards
- Support pre sales by contributing to proposals, solution design, and client workshops
Required Experience & Skills
- Strong, practical experience working with LLMs, such as: OpenAI / Azure OpenAI, Anthropic, Gemini, or open source models (LLaMA, Mistral, etc.)
- Hands on experience with: Prompt engineering and prompt optimization; RAG architectures (vector databases, embeddings, retrieval strategies); Agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, custom agent orchestration)
- Experience building and deploying multi agent or tool using systems (function calling, APIs, workflows)
- Familiarity with LLM evaluation, observability, latency/cost optimization, and hallucination mitigation
- Working knowledge of cloud AI stacks (Azure, AWS, or GCP) and modern MLOps / LLMOps practices
- 8–12+ years of experience in consulting, digital transformation, or AI delivery roles
- Proven track record managing complex client engagements with senior stakeholders
- Strong ability to bridge business strategy and technical execution
- Experience delivering AI solutions in banking, retail, telecom, or regulated industries is a strong plus
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