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Technical Project Lead – AI Modernization & Enterprise Transformation

Cognizant Technology Solutions·$102,600 – $162,500

Primary stack

AgileAI

Nice to have's

custom AI agentsblockchain technologiesvulnerability remediationAHIP certification

Job description

About the Position

Technical Project Lead – AI Modernization & Enterprise Transformation

Date published: Aug 13 2026

Location: Mississauga / Canada

Job category: Digital

Work model: Work from Home

As a Technical Project Lead – AI Modernization & Enterprise Transformation, you will make an impact by leading large-scale technology transformation initiatives that modernize legacy platforms, accelerate software delivery through Gen AI and Agentic AI, and drive business value across healthcare payer and regulated enterprise environments. You will be a valued member of our technology leadership team, collaborating with clients, architects, engineers, and delivery stakeholders to deliver innovative, secure, and scalable solutions.

Responsibilities

  • Lead end-to-end technical delivery of complex enterprise programs spanning legacy mainframe systems, distributed platforms, cloud modernization, and digital transformation initiatives.
  • Drive adoption of Gen AI and Agentic AI solutions across the software development lifecycle, including AI-assisted development, code modernization, developer productivity, and automation initiatives.
  • Architect and guide the implementation of event-driven and transaction-based systems, real-time data streaming solutions, and enterprise integration platforms.
  • Partner with client stakeholders, program sponsors, and technology teams to align technical solutions with business goals, quality standards, and strategic objectives.
  • Manage cross-functional, geographically distributed teams through planning, execution, risk management, resource forecasting, budgeting, and successful delivery outcomes.

Requirements

  • 10+ years of experience in software engineering, product development, or technology delivery with progressive leadership responsibilities.
  • Strong hands-on expertise in mainframe technologies including COBOL, CICS, JCL, DB2, and VSAM, combined with experience working with modern distributed and cloud-based platforms.
  • Proven experience implementing Gen AI and Agentic AI solutions using tools such as GitHub Copilot, IBM WatsonX, Claude, GPT/OpenAI, or similar technologies within enterprise delivery environments.
  • Experience designing and supporting enterprise integration solutions using middleware technologies such as IBM IIB, APIC, WebSphere MQ, and z/OS Connect.
  • Working knowledge of cloud and data technologies including Kafka, Azure, PySpark, Power BI, and large-scale data transformation solutions.
  • Domain expertise within US healthcare payer operations, including claims adjudication, provider networks, payments processing, regulatory compliance, and data privacy requirements, or equivalent experience within a highly regulated financial services environment.
  • Experience with Agile and Waterfall delivery methodologies and enterprise delivery tools such as GitHub, JIRA, ServiceNow, IBM RTC, and Tableau.
  • Demonstrated success leading multi-vendor, cross-functional teams while managing budgets, resource planning, delivery risks, and governance activities.

Nice to Have

  • Experience building custom AI agents, autonomous developer tools, or Model Context Protocol (MCP)-based solutions that enhance engineering productivity and operational efficiency.
  • Knowledge of healthcare payer modernization initiatives, including claims processing transformation, payment modernization, and HIPAA/PHI compliance requirements.
  • Experience with blockchain technologies or other emerging technologies supporting payments, claims, or enterprise modernization.
  • Strong background in vulnerability remediation, application security programs, and AI-assisted security automation.
  • AHIP certification or other healthcare industry credentials.
  • Recognition for technology innovation, delivery excellence, hackathon participation, or enterprise transformation initiatives.

We Offer

  • Annual Salary: Between $102,600 to $162,500 depending on experience and other qualifications of the successful candidate.
  • Incentives: Eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
  • Benefits:
    • Medical/Dental/Vision/Life Insurance
    • Paid holidays plus Paid Time Off
    • 401(k) plan and contributions
    • Long-term/Short-term Disability
    • Paid Parental Leave
    • Employee Stock Purchase Plan

About the Company

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process, and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes, and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or follow us on Twitter.

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Please note, this role cannot offer visa transfer or sponsorship now or in the future

© Cognizant Technology Solutions. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Cognizant (Nasdaq-100: CTSH) is one of the world’s leading professional services companies, transforming clients’ business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the US, Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital atwww.cognizant.comor follow us @Cognizant.

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