Enterprise Agentic Platform Specialist
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 and 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 and 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 and 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 and 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 and 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.
- 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 and 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 and 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 and 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 and 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 and 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.