Consulting Manager - AI DevOps Engineer

Cognizant; Chicago (IL); Hybrid; USD 81,000 - 146,000; Full time

Benefits offered by this job

Medical, dental, vision and life 보험

Job summary

Cognizant Consulting in Chicago is seeking a Consulting Manager - AI Delivery & Platform Engineering to advance enterprise software delivery through scalable CI/CD, platform engineering, cloud-native infra, and AI-enabled development.

You will collaborate with client and internal teams to drive delivery velocity, reliability, and operational excellence, building reusable accelerators and reference architectures.

Qualifications

• 6+ years of software engineering or related fields.

Responsibilities

• Design, implement, and optimize enterprise CI/CD pipelines.

Skills

Software engineering

Platform engineering

DevOps

Client-facing

Site Reliability

Tools

GitHub Actions

GitLab CI

Azure DevOps

CircleCI

Jenkins

Terraform

Pulumi

Job description

About Cognizant Consulting

Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?

About the role

As a Consulting Manager - AI Delivery & Platform Engineering, you will make an impact by helping clients modernize software delivery through scalable CI/CD, platform engineering, cloud-native infrastructure, and AI-enabled development capabilities. You will be a valued member of the Cognizant Consulting team and work collaboratively with client stakeholders, software engineering teams, platform teams, and AI engineering practitioners to improve delivery velocity, reliability, and operational excellence.

In this role, you will:

• Design, implement, and optimize enterprise CI/CD pipelines using platforms such as GitHub Actions, GitLab CI, Azure DevOps, and Jenkins.
• Support cloud-native software delivery initiatives including Kubernetes deployment automation, GitOps practices, Infrastructure as Code, observability frameworks, and release management processes.
• Partner with client and internal engineering teams to assess delivery maturity, identify improvement opportunities, and implement platform engineering best practices.
• Enable AI-powered software delivery capabilities, including LLM evaluation workflows, AI-assisted development processes, model deployment automation, and governance controls.
• Develop reusable accelerators, templates, playbooks, reference architectures, and engineering standards that improve consistency and efficiency across consulting engagements.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this position requires 3 days a week in a client or Cognizant office in Chicago, Illinois. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you must have to be considered

• 6+ years of experience in software engineering, platform engineering, DevOps, Site Reliability Engineering, or related disciplines, including experience supporting production CI/CD environments.
• Strong hands-on expertise with GitHub Actions and experience with one or more enterprise CI/CD platforms such as GitLab CI, Azure DevOps, CircleCI, Buildkite, or Jenkins.
• Experience working with Kubernetes, GitOps solutions such as ArgoCD or Flux, Infrastructure as Code tools such as Terraform or Pulumi, and cloud-native deployment practices.
• Experience implementing observability solutions including OpenTelemetry, distributed tracing, metrics collection, logging, and software delivery performance measurement.
• Experience supporting AI-enabled applications, LLM workflows, AI development tooling, or agent-based systems in enterprise environments.

These will help you succeed

• Experience developing automation solutions and engineering tooling using Python and API integrations.
• Familiarity with progressive delivery solutions such as Argo Rollouts, Flagger, LaunchDarkly, or similar platforms.
• Exposure to AI evaluation, testing, and governance frameworks such as Promptfoo, DeepEval, Ragas, LangSmith, Braintrust, or equivalent technologies.
• Experience developing reusable developer platforms, engineering accelerators, standards, and enablement assets.
• Consulting, advisory, or client-facing experience supporting enterprise technology transformation initiatives.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Compensation

$81,450 - $146,250 per year

This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. [2025 Consu...ob posting | Word]

Benefits

• Medical, dental, vision and life insurance
• 401(k) plan and contributions
• Employee stock purchase plan
• Employee assistance program
• 10 paid holidays plus PTO
• Paid parental leave and fertility assistance
• Learning and development certifications and programs