Senior Enterprise AI Product Lead

EPAM Systems Inc

Argentina

Hybrid

ARS 1,500,000 - 2,100,000

Full time

40 hours ago
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Benefits offered by this job

Healthcare benefits
Paid time off and sick leave
Upskilling and certification courses
LinkedIn Learning access
Global career opportunities
Volunteer and community involvement

Job summary

EPAM Systems Inc. is seeking a Product Manager to own the Enterprise AI portfolio from ideation to production. You will lead cross-functional teams across development, business, leadership, security, and data to deliver AI solutions that meet strategic objectives.

You will design AI agents and automated workflows using Claude, OpenAI, Gemini, Glean, and AWS Bedrock, while evaluating models, costs, and risks to optimize delivery. Strong communication with executives is essential.

Qualifications

  • 8+ years in technology delivery with portfolio or program management across multiple teams.
  • Hands-on experience building generative AI solutions with frontier models (Claude, GPT, Gemini).
  • Strong storytelling to influence senior leaders and present to C-level audiences.

Responsibilities

  • Own the Enterprise AI portfolio end to end as a single source of truth.
  • Design and build AI agents and automated workflows hands-on.
  • Lead portfolio planning, prioritization, and cross-team dependencies.
  • Prepare QBRs and executive readouts for IT and leadership.

Skills

Portfolio management
Executive communication
Stakeholder mgmt
Requirements analysis
People leadership

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

Jira
Anthropic Claude
OpenAI
Google Vertex AI
AWS Bedrock

Job description

EPAM Systems Inc. is seeking a Product Manager to own the Enterprise AI portfolio from ideation to production. You will lead cross-functional teams across development, business, leadership, security, and data to deliver AI solutions that meet strategic objectives.

You will design AI agents and automated workflows using Claude, OpenAI, Gemini, Glean, and AWS Bedrock, while evaluating models, costs, and risks to optimize delivery. Strong communication with executives is essential.

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