Enterprise Agentic Platform Specialist
HCLTech, California, MO, United States
HCLTech is looking for a highly talented and self- Enterprise Agentic Platform Specialist to join it in advancing the technological world through innovation and creativity.
Job Title Enterprise Agentic Platform Specialist
Job ID DMND0000075567
Position Type Full-time
Qualifications and Skill sets 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.
Familiarity with frameworks like LangChain, AutoGen, CrewAI, or OpenAI functions/assistants API.
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.
Mandatory Skills AI/ML, Data Science, GenAI, CoPilot
Pay and Benefits Pay Range Minimum: $ 64,000 per year
Pay Range Maximum: $ 130,900 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance‑based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need‑based leave with no designated number of leave days per year); and 10 paid holidays per year
How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
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Job Title Enterprise Agentic Platform Specialist
Job ID DMND0000075567
Position Type Full-time
Qualifications and Skill sets 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.
Familiarity with frameworks like LangChain, AutoGen, CrewAI, or OpenAI functions/assistants API.
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.
Mandatory Skills AI/ML, Data Science, GenAI, CoPilot
Pay and Benefits Pay Range Minimum: $ 64,000 per year
Pay Range Maximum: $ 130,900 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance‑based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need‑based leave with no designated number of leave days per year); and 10 paid holidays per year
How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
#J-18808-Ljbffr