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*
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
