AI Technical Project Manager

Role Overview

Cognizant is seeking an experienced Technical Project Manager – AI Document Processing & Authoring to lead the planning, coordination, and delivery of AI-powered document processing and authoring initiatives.

This role requires a blend of project management, business analysis, stakeholder engagement, and technical delivery expertise. The successful candidate will have experience managing AI-focused projects and a strong understanding of the AI-powered document processing and authoring lifecycle, from business requirements gathering through implementation, testing, deployment, and production support.

The ideal candidate will serve as the bridge between business stakeholders, product owners, architects, developers, and platform teams to ensure that business objectives are translated into successful technology solutions.

Work Model

This position is fully remote within the United States, offering flexibility while collaborating with distributed teams across multiple locations and time zones.

Occasional travel may be required for client workshops, planning sessions, or strategic project meetings.

Key Responsibilities

Project Leadership & Delivery Management

• Lead end-to-end project execution for AI-powered document processing and authoring initiatives.
• Develop and manage project plans, timelines, milestones, deliverables, and resource requirements.
• Ensure projects are delivered on schedule, within scope, and aligned with business objectives.
• Monitor project performance and proactively address risks, issues, and dependencies.
• Facilitate project status reviews, steering committee meetings, and stakeholder communications.

Business Analysis & Requirements Management

• Partner with business stakeholders to gather, analyze, and document business requirements.
• Translate business requirements into detailed functional and technical specifications.
• Develop process flows, business workflows, user stories, and acceptance criteria.
• Ensure requirements are clearly documented and understood by technical delivery teams.
• Identify edge cases, business scenarios, and validation criteria to support successful solution delivery.

AI Solution Enablement

• Support AI-powered document processing and authoring initiatives throughout the project lifecycle.
• Collaborate with architects and technical teams to define AI solution requirements and business outcomes.
• Utilize prompt engineering concepts to support AI use-case development and optimization.
• Assist in Codex prompting activities and AI-output validation processes.
• Develop examples, use cases, and testing scenarios to improve AI performance and user adoption.
• Coordinate business reviews of AI-generated outputs and ensure alignment with expected outcomes.

Stakeholder & Cross-Functional Collaboration

• Act as the primary liaison between business users, product owners, developers, architects, QA teams, and platform partners.
• Manage stakeholder expectations and provide regular project updates and communications.
• Facilitate workshops, requirement sessions, user demonstrations, and solution reviews.
• Drive collaboration across cross-functional teams to ensure successful project execution.

Testing, Validation & Quality Assurance

• Coordinate testing activities, including:

+ Functional Testing

+ Integration Testing

+ User Acceptance Testing (UAT)

+ AI Output Validation

• Ensure business requirements and acceptance criteria are met before release.
• Manage defect triage activities and coordinate issue resolution efforts.
• Support quality assurance processes throughout the solution lifecycle.

Documentation & Process Governance

• Create and maintain project documentation, business requirements, process documentation, project plans, release communications, and operational guides.
• Ensure project artifacts are complete, accurate, and aligned with organizational standards.
• Support knowledge transfer and operational readiness activities.
• Maintain project governance documentation and audit-ready records.

Risk & Dependency Management

• Identify, track, and mitigate project risks and dependencies.
• Escalate critical issues and blockers when appropriate.
• Coordinate project activities across multiple teams and workstreams.
• Ensure alignment between business priorities, technical capabilities, and project delivery objectives.

Required Qualifications

• Bachelor's degree in Business, Information Technology, Computer Science, Engineering, or a related field, or equivalent work experience.
• 10+ years of experience in Technical Project Management, Business Analysis, or Technology Delivery roles.
• Experience managing AI, Digital Transformation, Data, or Enterprise Technology projects.
• Strong experience gathering and analyzing business requirements.
• Proven ability to translate business needs into technical requirements and actionable delivery plans.
• Experience developing:

+ User Stories

+ Acceptance Criteria

+ Business Process Flows

+ Functional Requirements Documentation

• Knowledge of:

+ Prompt Engineering

+ AI-Output Validation

+ AI Document Processing Workflows

+ AI Authoring Solutions

• Strong project planning, coordination, and execution skills.
• Experience managing project timelines, risks, dependencies, and stakeholder expectations.
• Understanding of software development lifecycle (SDLC) methodologies.
• Knowledge of enterprise system integrations and API-based architectures.
• Strong written, verbal, presentation, and facilitation skills.
• Excellent organizational, analytical, and problem-solving abilities.

Preferred Qualifications

• Experience supporting Generative AI or Intelligent Automation initiatives.
• Familiarity with AI-powered document processing or content generation platforms.
• Experience working within Agile, Scrum, or hybrid project delivery frameworks.
• Understanding of cloud-based architectures and enterprise platforms.
• Experience with JIRA, Azure DevOps, Confluence, or similar project management tools.
• Project Management Professional (PMP), Certified Scrum Master (CSM), or equivalent certification.
• Experience managing distributed global teams and enterprise-scale programs.

Technical Knowledge Areas

Candidates should demonstrate familiarity with:

• Technical Project Management
• Business Analysis
• Generative AI
• Prompt Engineering
• AI Output Validation
• User Story Development
• Acceptance Criteria Definition
• Software Development Lifecycle (SDLC)
• API Integrations
• Enterprise Applications
• Agile Delivery Methodologies
• Risk Management
• Stakeholder Management
• Process Documentation
• User Acceptance Testing (UAT)

Salary and Other Compensation

The annual salary for this position is anticipated to be between $130,000 and $145,000 USD, depending on experience, qualifications, geographic location, and other factors permitted by law.

In addition to base salary, this position may be eligible for:

• Annual performance-based bonus
• Merit-based compensation increases
• Employee referral bonuses, where applicable

The compensation information provided is accurate as of the date of this posting. Cognizant reserves the right to modify compensation information based on business needs and applicable laws.

Benefits

Cognizant offers a comprehensive benefits package, including:

• Medical, Dental, and Vision Insurance
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Life Insurance and AD&D Coverage
• Short-Term and Long-Term Disability Insurance
• Paid Time Off (PTO) and Company Holidays
• 401(k) Plan with Company Contributions (subject to eligibility)
• Employee Stock Purchase Plan (where available)
• Employee Assistance Program (EAP)
• Parental Leave and Family Care Benefits
• Tuition Reimbursement and Professional Development Programs
• Access to Learning, Certification, and Career Development Opportunities

Benefits are subject to eligibility requirements and plan terms.

Why Cognizant

• Help drive innovative AI-powered business solutions for leading global organizations.
• Work at the intersection of business strategy, technology delivery, and Generative AI.
• Collaborate with experienced architects, engineers, product teams, and business leaders.
• Gain exposure to emerging AI technologies and enterprise transformation initiatives.
• Access ongoing professional development and career growth opportunities.
• Be part of a global organization committed to innovation, excellence, and client success.

Equal Opportunity

Employer

Cognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

Applications will be accepted until the position is filled.