Enterprise Agentic Platform Specialist

Job Description

Job Description

Enterprise Agentic Platform Specialist

Santa Clara, CA - Onsite

12+ Months Contract

Looking only Locals who can do Onsite Interview

We are seeking an Enterprise Agentic Platform Specialist to lead the design, development, and delivery of enterprise-scale Data Science and Generative AI (GenAI) solutions. This role will drive the implementation of AI agents, LLM orchestration frameworks, and enterprise automation pipelines, working cross-functionally with business stakeholders, data engineers, data scientists, DevOps teams, and UI developers.

The ideal candidate will combine hands-on GenAI engineering expertise with strong program delivery capabilities, ensuring solutions deliver measurable business outcomes while meeting enterprise standards for governance, security, and Responsible AI.

Key Responsibilities

AI Agent & GenAI Development

• Lead the end-to-end delivery of enterprise data science and GenAI solutions.
• Design, develop, and deploy AI agents using Microsoft Copilot Studio, Claude agent frameworks, and enterprise LLM orchestration patterns.
• Implement prompt engineering strategies, grounding techniques, and Retrieval-Augmented Generation (RAG) pipelines.

Architecture & Integration

• Define architecture standards for agentic systems, including tool calling schemas, prompt frameworks, grounding flows, and RAG pipelines.
• Translate complex workflows into modular, automated, event-driven pipelines.
• Integrate AI solutions with enterprise systems via REST APIs, Power Platform connectors, and enterprise data services.
• Connect Copilot Studio agents to enterprise data sources such as:
  • SharePoint
  • Dataverse
  • SQL
  • SAP

Enterprise Platform Integration

• Oversee system integration across enterprise platforms including:
  • ServiceNow
  • SharePoint
  • Microsoft Teams
  • Power Automate
  • Azure APIs
• Design MCP-based agent architectures, integration layers, authentication flows (OAuth / Microsoft Entra), and system messaging frameworks.

Governance, Security & Responsible AI

• Collaborate with AI architects, MLOps teams, and security teams to enforce:
  • Responsible AI standards
  • Data governance policies
  • Security and access control frameworks
  • Model safety guidelines
• Implement agent observability frameworks including logging, telemetry instrumentation, latency metrics, error tracking, and automated remediation workflows.

Delivery & Program Management

• Lead cross-functional teams delivering AI solutions across data engineering, data science, DevOps, and UX teams.
• Manage delivery using Agile / Scrum or hybrid PM methodologies.
• Track dependencies, risks, sprint alignment, and release orchestration.

Metrics & Performance Monitoring

• Define KPIs and operational dashboards for AI automation, including:
  • Cycle time reduction
  • Accuracy improvements
  • Governance compliance
  • Agent uptime and reliability

Required Qualifications

• Hands-on experience delivering enterprise Data Science and GenAI solutions.
• Experience designing and deploying AI agents using Microsoft Copilot Studio or similar agent frameworks.
• Strong knowledge of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Experience integrating AI solutions with enterprise platforms and APIs.
• Understanding of MLOps, governance frameworks, and Responsible AI standards.
• Experience working in Agile delivery environments with cross-functional teams.

Preferred Qualifications

• Hands-on expertise building agents in Microsoft Copilot Studio.
• Familiarity with agent frameworks such as:
  • LangChain
  • AutoGen
  • CrewAI
  • OpenAI Assistants / Functions APIs
• Experience implementing enterprise AI observability and monitoring frameworks.
• Strong understanding of enterprise security, authentication, and governance models.

Thanks

Sri Vardhan Chilakamukku
Infobahn SoftWorld Inc.