Tech Lead

Enterprise Agentic Platform Specialist

Hands-on experience delivering enterprise Data Science and GenAI solutions. Leads Agile execution across business, data engineering, data science, and UI teams while personally designing Copilot Studio agents and Power Automate workflows to drive productivity, automation, and measurable business outcomes. Led end-to-end delivery of data science and GenAI solutions, managing execution across business stakeholders, data engineering, data science, DevOps and UI teams. Lead the design, development, and deployment of AI agents using Microsoft Copilot Studio, Claude agent frameworks, and enterprise LLM orchestration patterns. Guided teams on LLM usage patterns, including prompt design, grounding strategies, and Retrieval-Augmented Generation (RAG). Collaborated with AI architects and MLOps teams to ensure Responsible AI, data governance, security, and access controls. Translate complex workflows into automated, modular, event-driven pipelines, integrating with REST APIs, Power Platform connectors, and enterprise data services. Define and enforce architecture standards for agentic systems, including prompt engineering patterns, tool calling schemas, grounding flows, and RAG pipelines. Implement agent observability using logging, telemetry instrumentation, latency/error metrics, and automated remediation workflows across environments. Partner with engineering to shape MCP based agent architectures, integration layers, authentication flows (OAuth/Entra), and system to system messaging. Drive governance automation by operationalizing approval gates, compliance workflows, document lifecycle controls, and audit readiness triggers. Manage project delivery through Agile/Scrum or hybrid PMM models, ensuring sprint alignment, dependency tracking, risk quantification, and release orchestration. Define KPIs and operational dashboards for automation ROI (cycle time reduction, accuracy, governance adherence, agent uptime). Oversee end-to-end system integration with ServiceNow, SharePoint, Teams, Power Automate, Azure APIs, and other enterprise platforms. Connect Copilot Studio agents to enterprise data sources (SharePoint, Dataverse, SQL, SAP) using prebuilt or custom connectors. Collaborate with architects, MLOps, and security teams to ensure solutions meet standards for Responsible AI, data governance, access controls, and model safety.

Preferred Qualifications:

• Proven Copilot Studio Expertise: Hands-on experience building agents in Microsoft Copilot Studio.
• GenAI LLM Knowledge: Strong understanding of Large Language Models (LLMs), prompt engineering, and RAG (Retrieval-Augmented Generation) principles.
• Project Management: Proven ability to deliver technical projects in Agile environments, managing timelines and stakeholder expectations.
• Educational Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related quantitative/technical field. Master's degree or MBA with a focus on Artificial Intelligence, Machine Learning, or Technology Strategy.