{"id":2693589,"url":"https://alion.io/job/ntt-data-senior-ai-ops-devops-engineer-fte-hybrid","title":"Senior AI Ops / DevOps Engineer (FTE / Hybrid)","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":98,"open_postings":88,"ghost_share":0,"stale_share":0.261,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":97725,"max":162580,"currency":"USD","period":"year","gross":null,"usd_annual":162580},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Anthropic","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"CircleCI","optional":false},{"name":"CloudFormation","optional":false},{"name":"CrewAI","optional":false},{"name":"Crossplane","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Dynatrace","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"HashiCorp Vault","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"ISO 27001","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Least Privilege","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"SOC 2","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Terragrunt","optional":false},{"name":"TypeScript","optional":false},{"name":"Vault","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Checkov","optional":true},{"name":"GitOps","optional":true},{"name":"MLFlow","optional":true},{"name":"Open Policy Agent","optional":true}],"status":"live","first_seen_at":"2026-09-27T21:06:43Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-25T05:08:30Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"Req ID: 390771\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\nWe are currently seeking a Senior AI Ops / DevOps Engineer (FTE / Hybrid) to join our team in Atlanta, Georgia (US-GA), United States (US).\nDay to Day Job Duties\nThe Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle.\nArchitect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed.\nDesign and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms.\nDevelop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents.\nIntegrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations.\nBuild and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools.\nImplement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces.\nCreate safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution.\nBuild guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools.\nManage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE.\nIntegrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.\nImplement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access.\nPartner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation.\nCreate reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams.\nDrive an “automate everything” culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes.\nBasic Qualifications\nMinimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation.\nMinimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms.\nMinimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or GCP, with strong preference for AWS.\nStrong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE.\nAdvanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane.\nStrong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.\nPractical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.\nExperience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools.\nStrong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.\nExperience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management.\nStrong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms.\nExperience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.\nFamiliarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments.\nAbility to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments.\nPreferred / Nice to Have\nExperience building AI-assisted infrastructure provisioning workflows.\nExperience implementing autonomous or semi-autonomous incident response and remediation capabilities.\nExperience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms.\nExperience implementing human-in-the-loop approval models for AI-generated operational actions.\nExperience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions.\nExperience working in regulated industries such as banking, financial services, healthcare, or insurance.\nExperience with GitOps operating models using ArgoCD, Flux, or similar tools.\nAWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus.\nSoft Skills & Mindset\nStrong “automate everything” mindset with a passion for reducing repetitive manual tasks and operational toil.\nSecurity-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback.\nAbility to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams.\nStrong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences.\nCollaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices.\nOwnership mindset with the ability to design solutions, implement them hands-on, and support them in production.\nTravel\nThis position requires 3 days in office per the client/project requirement.\nDegree\nBachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent work experience.\nSummary\nThe ideal candidate is a senior hands-on DevOps engineer with strong cloud, automation, Kubernetes, and CI/CD expertise, combined with practical experience applying AI, LLM agents, and MCP-based integrations to modern engineering workflows. This role will help create a secure AI-driven delivery ecosystem that accelerates software engineering velocity while maintaining strong governance, reliability, auditability, and operational control.\n#LI-NorthAmerica\nNTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $97,725.00 - $162,580.00. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.\nThis position may also be eligible for incentive compensation based on individual and/or company performance.\nThis position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.\nAbout NTT DATA\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. 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