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Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Define and evolve product strategy and roadmaps for Agentic AI and Data Intelligence products and platforms
- Research emerging technologies, standards, architectures, and best practices across AI agents, multi-agent systems, LLMs, reasoning models, tool use, workflow orchestration, enterprise search, knowledge systems, and data intelligence
- Identify opportunities for AI agents to automate workflows, augment decision making, and improve interaction with enterprise data
- Translate emerging technology capabilities into enterprise use cases, product investments, and roadmap priorities
- Own technical product requirements, capabilities, APIs, integration patterns, success metrics, and non-functional requirements
- Partner with engineering, architecture, data science, data engineering, security, and business teams from concept through production
- Define reusable platform capabilities for agent orchestration, tool integration, context management, memory, data access, reasoning, and human-in-the-loop workflows
- Drive build-vs-buy-vs-partner decisions for AI and data technologies
- Define capabilities spanning structured and unstructured data, semantic search, metadata, knowledge retrieval, RAG, vector search, and natural-language data interaction
- Support hands-on PoCs and prototypes involving agent workflows, tool calling, APIs, enterprise data sources, and automated business processes
- Define experiment hypotheses, evaluation datasets, success criteria, and production-readiness requirements
- Assess agent performance for task completion, accuracy, reasoning quality, latency, cost, reliability, security, and user experience
- Establish frameworks for evaluating and benchmarking Agentic AI systems
- Partner with risk, security, privacy, and governance teams to establish controls for autonomous and semi-autonomous AI systems
- Produce technical assessments, product requirements, architecture recommendations, benchmarking reports, decision documents, and technology landscape analyses
- Communicate product strategy, technical trade-offs, investment requirements, and measurable business outcomes to technical and executive audiences
Requirements
What you’ll need- Significant experience in AI product management, data platform product management, or related technical roles
- Strong understanding of Generative AI, LLMs, Agentic AI architectures, RAG, enterprise search, APIs, and modern data platforms
- Understanding of tool/function calling, planning, reasoning, context management, orchestration, memory, and human-in-the-loop patterns
- Experience with structured and unstructured enterprise data, data APIs, metadata, search, retrieval, or analytics platforms
- Technical fluency with REST APIs, JSON, Python or similar scripting languages, cloud platforms, and AI/ML services
- Ability to define technical products and collaborate with engineering, architecture, data science, and data engineering teams
- Experience evaluating emerging technologies through PoCs, experimentation, benchmarking, and structured technical analysis
- Strong written and verbal communication skills and ability to translate complex AI and data concepts into product and executive recommendations
- Experience designing or delivering enterprise AI agents, copilots, intelligent workflow automation, or AI-powered data products
- Experience with agent development and orchestration frameworks and interoperability standards such as MCP
- Familiarity with vector databases, knowledge graphs, semantic layers, embedding models, enterprise search, data catalogs, and modern data platforms
- Experience developing evaluation frameworks for LLMs and agentic systems, including automated and human evaluation
- Understanding of enterprise AI governance, data governance, security, privacy, responsible AI, identity/access management, and observability
- Experience moving AI capabilities from research through experimentation, PoC, production, and scaled enterprise adoption
- Bachelor's Degree
Benefits
Comp & perks- Annual bonus
- Benefits information provided at https://www.exlservice.com/us-careers-and-benefits