Key Responsibilities
Work directly with customer teams to identify business challenges and high-value AI use cases.
Translate business requirements into actionable AI solutions and measurable outcomes.
Build and test AI prototypes using prompt engineering, low-code agent tools, and AI platforms.
Manage product backlogs in Azure DevOps and define user stories and acceptance criteria.
Collaborate with AI Architects and Forward Deployed Engineers on agent design, RAG strategies, API integrations, and model selection.
Design AI evaluation frameworks, golden datasets, test cases, and quality metrics.
Drive AI solutions from prototype and pilot stages into production.
Balance AI solution quality, performance, latency, cost, and security requirements.
Establish Responsible AI practices, including guardrails, human-in-the-loop workflows, and hallucination management.
Monitor solution adoption, gather user feedback, and measure business impact.
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
7+ years of experience in Product Management, Product Ownership, Technical Program Management, Solutions Engineering, or Consulting.
2+ years of hands-on experience delivering Generative AI, LLM, or Agentic AI solutions into production.
Practical experience with Prompt Engineering, RAG, Vector Databases, and Agent Frameworks.
Experience with AI tool integrations, APIs, and enterprise data integration.
Ability to independently build and validate working AI prototypes.
Experience designing AI evaluation frameworks and quality metrics.
Understanding of AI architecture, LLMOps, and production deployment.
Strong customer engagement, stakeholder management, and communication skills.
Preferred Qualifications
Experience with Copilots, multi-agent systems, and enterprise AI workflows.
Familiarity with Azure AI Foundry, Azure OpenAI, Copilot Studio, and Power Platform.
Knowledge of AI governance, Responsible AI, enterprise security, and compliance.
Experience with product analytics, telemetry, A/B testing, and adoption measurement.
Basic Python or similar programming experience.
