AI Infrastructure Architect - Terraform & Hybrid Cloud

Cognizant; Princeton (NJ); Hybrid; USD 83,000 - 110,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays plus Paid Time Off

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an AI Engineer to design and optimize scalable infrastructure foundations for AI solutions using Terraform in a hybrid work model. The candidate brings over fifteen years of experience to create secure, reliable, and cost-effective platforms supporting data-driven products for global finance and accounting stakeholders.

Responsibilities include designing robust blueprints, developing Terraform modules, coordinating lifecycle activities, optimizing architectures, and guiding

Qualifications

• Deep hands-on Terraform IaC experience including module design state management and cloud integration.
• Fifteen plus years of infrastructure engineering or architecture experience with focus on automation reliability and scalable design.
• Understand AI and data platform requirements including compute intensive workloads data pipelines and high availability.
• Finance/accounting domain knowledge to shape infrastructure that supports analytical reporting and sensitive data.
• Hybrid delivery experience with distributed teams and day-shift coordination using collaboration tools.
• Strong communication and problem solving, translating infrastructure details for partners and stakeholders.

Responsibilities

• Design robust infrastructure blueprints enabling scalable and secure deployment of AI platforms using Terraform and cloud-native practices.
• Develop standardized Terraform modules and reusable templates to improve consistency and reduce risk.
• Coordinate end-to-end infrastructure lifecycle activities including planning, capacity forecasting, and environment setup.
• Optimize architectures by analyzing resource usage and compute needs to balance resilience and cost.
• Guide cross-functional teams in adopting infrastructure as code with version control and automated validation.
• Integrate monitoring, logging, and alerting into AI infrastructure stacks for reliability.
• Align designs with regulatory expectations in finance and accounting use cases.
• Evaluate new cloud services and automation techniques to strengthen AI platform capabilities.
• Document infrastructure designs and runbooks for engineering and operations teams.
• Coordinate with data engineering and AI teams to optimize ML pipelines and analytics workloads.

Skills

Automation

Communication

Hybrid delivery

Tools

Terraform

Job description

Cognizant is seeking an AI Engineer to design and optimize scalable infrastructure foundations for AI solutions using Terraform in a hybrid work model. The candidate brings over fifteen years of experience to create secure, reliable, and cost-effective platforms supporting data-driven products for global finance and accounting stakeholders.

Responsibilities include designing robust blueprints, developing Terraform modules, coordinating lifecycle activities, optimizing architectures, and guiding