About the role
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.
In this role, you will:
· 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.
Work model:
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Mississauga, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. These may change based on the project you are engaged in, as well as evolving business and client requirements. We will always be transparent about role expectations.
Please note: Some roles may require in‑person interviews at Cognizant offices or client locations based on project needs.
What you need to have to be considered
· 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.
This will help you stand out
· 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.
Salary and Other Compensation:
The annual salary for this position is between $102,600 to $162,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· 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
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*
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
