AI Engg. Architect

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

Job Summary

The role of AI Engg focuses on designing and optimizing scalable infrastructure foundations for advanced artificial intelligence solutions using Terraform in a hybrid work model. The candidate applies over fifteen years of experience to create secure reliable and cost effective platforms that support data driven products and applications for global finance and accounting stakeholders.

Job Summary

The role of AI Engg focuses on designing and optimizing scalable infrastructure foundations for advanced artificial intelligence solutions using Terraform in a hybrid work model. The candidate applies over fifteen years of experience to create secure reliable and cost effective platforms that support data driven products and applications for global finance and accounting stakeholders.

Responsibilities

• Design robust infrastructure blueprints that enable scalable and secure deployment of AI platforms using Terraform and modern cloud native practices ensuring reliable operation for complex enterprise workloads in a hybrid environment.
• Develop standardized Terraform modules and reusable templates that simplify infrastructure provisioning improve consistency across environments and reduce operational risk for AI and data engineering teams.
• Coordinate end to end infrastructure lifecycle activities including planning capacity forecasting environment setup and continuous improvement so that AI applications meet performance and cost targets.
• Optimize infrastructure architectures by analyzing resource usage storage patterns and compute needs generating recommendations that balance resilience efficiency and budget constraints for data heavy workloads.
• Guide cross functional teams in adopting infrastructure as code practices with Terraform ensuring version control peer review and automated validation processes are integrated into daily workflows.
• Integrate monitoring logging and alerting capabilities into AI infrastructure stacks so that incidents are detected quickly root causes are identified efficiently and service reliability is steadily improved.
• Collaborate with information security and compliance partners to align infrastructure designs with regulatory expectations especially when supporting finance and accounting use cases and sensitive data.
• Evaluate new cloud services infrastructure tooling and automation techniques selecting options that strengthen AI platform capabilities and support long term technology strategy for the company.
• Document infrastructure designs configuration standards and runbooks in clear and accessible formats that help engineering and operations teams support AI solutions with confidence.
• Coordinate efforts with data engineering and AI solution teams to ensure infrastructure capacity networking and storage layers are tuned for machine learning pipelines and analytical workloads.
• Support hybrid work practices by enabling secure remote access solutions and environment consistency so team members can contribute effectively from multiple locations without disruption.
• Contribute to organizational goals by aligning infrastructure decisions to business outcomes especially in finance and accounting domains where reliable AI insights improve stakeholder trust and societal impact.
• Provide expert guidance during incident reviews and architecture assessments capturing lessons learned and translating them into infrastructure improvements that enhance resilience of AI systems.

Qualifications

• Demonstrate deep hands on expertise in Terraform based infrastructure as code including module design state management and integration with cloud provider services across large scale environments.
• Bring fifteen plus years of experience in infrastructure engineering or architecture with strong focus on automation reliability and scalable design for complex enterprise application landscapes.
• Possess solid understanding of AI and data platform requirements including compute intensive workloads data pipelines storage strategies and high availability considerations.
• Apply knowledge of finance and accounting processes as a beneficial domain skill to shape infrastructure solutions that respect data sensitivity and support analytical reporting needs.
• Show proficiency working in hybrid delivery models with day shift schedules using collaboration tools and structured documentation to maintain productivity across distributed teams.
• Exhibit strong communication and problem solving capabilities by translating technical infrastructure details into clear guidance for engineering partners and business stakeholders.

Salary And Other Compensation

The annual salary for this position is between $60-80/hrdepending 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