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Program Manager Ai Agents Intelligent Automation

  • Program Manager Ai Agents Intelligent Automation job type Posted on: Oct 15, 2026
  • Program Manager Ai Agents Intelligent Automation experience level Argyllinfotech
  • Program Manager Ai Agents Intelligent Automation employment type Stamford, Connecticut
  • Program Manager Ai Agents Intelligent Automation employment type Onsite
  • Program Manager Ai Agents Intelligent Automation salary CTC
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Job Title :

Program Manager Ai Agents Intelligent Automation

Job Type :

Contract

Job Location :

Stamford Connecticut United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Program Manager - AI Agents & Intelligent Automation
Location: Stamford, CT (Note: Local face-to-face interview required; local candidates preferred)
Contract Duration: 6 Months
Visa/Work Authorization: Visa-dependent profiles accepted (local candidates only)
Role Summary
We are seeking an experienced Program Manager - AI Agents & Intelligent Automation to lead the end-to-end delivery, adoption, and scaling of enterprise-grade AI-powered agents. This role requires an AI transformation leader who can oversee globally distributed onsite and offshore engineering teams while effectively influencing executives, business leaders, and operational units to drive tangible AI adoption, productivity improvements, cost savings, and enhanced user experiences.
Key Responsibilities
Program & Delivery Leadership
  • Lead multiple AI Agent development initiatives through every stage from ideation to production deployment.
  • Manage onsite and offshore cross-functional teams, including AI engineers, data scientists, prompt engineers, enterprise architects, product owners, and QA resources.
  • Establish robust delivery roadmaps, release schedules, key milestones, resource planning frameworks, and governance processes.
  • Drive Agile delivery execution while ensuring high standards of quality, security, compliance, and responsible AI practices.
  • Proactively monitor and manage program risks, interdependencies, budgets, timelines, and measurable business outcomes.
AI Agent Strategy & Adoption
  • Define and execute an enterprise AI Agent strategy aligned with overall organizational goals and strategic business priorities.
  • Identify high-value business use cases leveraging AI Agents, Agentic AI, Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and advanced workflow automation.
  • Build comprehensive business cases demonstrating clear ROI, productivity gains, operational efficiencies, and customer experience enhancements.
  • Drive enterprise-wide adoption of developed AI Agents and intelligent automation solutions.
  • Establish clear success metrics (KPIs) and continuously track and report business impact.
Stakeholder Engagement & Change Management
  • Partner with leaders across Operations, Customer Service, Sales, Finance, HR, and Technology to identify and prioritize high-impact AI opportunities.
  • Influence senior stakeholders and decision-makers by articulating business benefits and measurable outcomes.
  • Conduct executive presentations, product demonstrations, workshops, roadshows, and targeted adoption campaigns.
  • Address and mitigate stakeholder concerns regarding AI governance, data security, regulatory compliance, user trust, and organizational change management.
  • Serve as the primary point of contact and bridge between business stakeholders and technical AI delivery teams.
Cross-Functional Collaboration & Team Leadership
  • Coordinate seamlessly across enterprise architecture, cybersecurity, legal, compliance, and operations teams to align on priorities, funding, and implementation plans.
  • Facilitate the rapid resolution of delivery roadblocks and organizational dependencies.
  • Lead, mentor, and inspire onsite and offshore delivery managers, project managers, and AI specialists.
  • Drive workforce planning, capability building, resource hiring, and skills development to foster a culture of continuous learning and AI-first thinking.
Required Qualifications & Competencies
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
  • Experience:
    • 10+ years of program and project management experience leading large-scale enterprise technology initiatives.
    • 5+ years of hands-on experience managing distributed onsite-offshore delivery teams.
    • Proven track record of delivering AI, Machine Learning, GenAI, Conversational AI, or Intelligent Automation solutions.
  • Technical & Methodological Expertise: Deep familiarity with Agile, Scrum, SAFe frameworks, and enterprise delivery governance practices.
  • Soft Skills: Exceptional stakeholder management, executive communication, and negotiation skills with a demonstrated ability to drive organizational change and technology adoption.

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Program Manager with AI Agents or Intelligent Automation

Confidential Employer
Stamford, Connecticut

Jobcon Logo Position Details

Posted:

Oct 15, 2026

Reference Number:

3363-26251

Employment:

CTC

City:

Stamford

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Program Manager - AI Agents & Intelligent Automation
Location: Stamford, CT (Note: Local face-to-face interview required; local candidates preferred)
Contract Duration: 6 Months
Visa/Work Authorization: Visa-dependent profiles accepted (local candidates only)
Role Summary
We are seeking an experienced Program Manager - AI Agents & Intelligent Automation to lead the end-to-end delivery, adoption, and scaling of enterprise-grade AI-powered agents. This role requires an AI transformation leader who can oversee globally distributed onsite and offshore engineering teams while effectively influencing executives, business leaders, and operational units to drive tangible AI adoption, productivity improvements, cost savings, and enhanced user experiences.
Key Responsibilities
Program & Delivery Leadership
  • Lead multiple AI Agent development initiatives through every stage from ideation to production deployment.
  • Manage onsite and offshore cross-functional teams, including AI engineers, data scientists, prompt engineers, enterprise architects, product owners, and QA resources.
  • Establish robust delivery roadmaps, release schedules, key milestones, resource planning frameworks, and governance processes.
  • Drive Agile delivery execution while ensuring high standards of quality, security, compliance, and responsible AI practices.
  • Proactively monitor and manage program risks, interdependencies, budgets, timelines, and measurable business outcomes.
AI Agent Strategy & Adoption
  • Define and execute an enterprise AI Agent strategy aligned with overall organizational goals and strategic business priorities.
  • Identify high-value business use cases leveraging AI Agents, Agentic AI, Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and advanced workflow automation.
  • Build comprehensive business cases demonstrating clear ROI, productivity gains, operational efficiencies, and customer experience enhancements.
  • Drive enterprise-wide adoption of developed AI Agents and intelligent automation solutions.
  • Establish clear success metrics (KPIs) and continuously track and report business impact.
Stakeholder Engagement & Change Management
  • Partner with leaders across Operations, Customer Service, Sales, Finance, HR, and Technology to identify and prioritize high-impact AI opportunities.
  • Influence senior stakeholders and decision-makers by articulating business benefits and measurable outcomes.
  • Conduct executive presentations, product demonstrations, workshops, roadshows, and targeted adoption campaigns.
  • Address and mitigate stakeholder concerns regarding AI governance, data security, regulatory compliance, user trust, and organizational change management.
  • Serve as the primary point of contact and bridge between business stakeholders and technical AI delivery teams.
Cross-Functional Collaboration & Team Leadership
  • Coordinate seamlessly across enterprise architecture, cybersecurity, legal, compliance, and operations teams to align on priorities, funding, and implementation plans.
  • Facilitate the rapid resolution of delivery roadblocks and organizational dependencies.
  • Lead, mentor, and inspire onsite and offshore delivery managers, project managers, and AI specialists.
  • Drive workforce planning, capability building, resource hiring, and skills development to foster a culture of continuous learning and AI-first thinking.
Required Qualifications & Competencies
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
  • Experience:
    • 10+ years of program and project management experience leading large-scale enterprise technology initiatives.
    • 5+ years of hands-on experience managing distributed onsite-offshore delivery teams.
    • Proven track record of delivering AI, Machine Learning, GenAI, Conversational AI, or Intelligent Automation solutions.
  • Technical & Methodological Expertise: Deep familiarity with Agile, Scrum, SAFe frameworks, and enterprise delivery governance practices.
  • Soft Skills: Exceptional stakeholder management, executive communication, and negotiation skills with a demonstrated ability to drive organizational change and technology adoption.

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