Forward Deployment Engineer (DevOps, AI Deployment)

Forward Deployment Engineer (DevOps, AI Deployment)

Posted by Mid-Sized Firm in IT Services Domain

Hyderabad,Bengaluru

Posted: imported by Jeevika

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As the technical owner for deployment, you will design pipelines and infrastructure, harden AI applications for production, and meet enterprise security and governance requirements on AWS.Key ResponsibilitiesOwn the deployment architecture for AI solutions on AWS.Design and own CI/CD, Infrastructure as Code, and release standards across engagements.Lead integration of AI solutions into legacy and regulated environments, respecting identity, security, and governance.Set up scalable model and agent serving, with the vector and retrieval infrastructure behind it.Establish observability, evaluation, and cost controls for AI workloads in production.Define a practical approach to security, governance, and responsible AI for deployments.Build reusable deployment accelerators, and mentor engineers.Bring field learnings and product gaps back to the wider practice.Required QualificationsSubstantial DevOps or platform engineering experience with ownership of production deployments.Deep CI/CD, Docker, and Kubernetes experience, with strong Terraform / IaC.Strong AWS fluency across deployment-relevant services.Strong grounding in identity, security, and networking, and enterprise integration.Solid automation skills and a habit of codifying build and run processes.Deep, hands-on experience deploying LLM and agentic applications to production (LLMOps), including serving, scaling, retrieval infrastructure, observability, evaluation, and responsible AI.Mandatory: AWS, DevOps, or GenAI certification (at least one) is required.Preferred QualificationsEnterprise AI platforms (Palantir Foundry, Databricks, Snowflake) and MLOps tooling at scale.Experience in regulated industries.SRE or reliability experience.Prior consulting, customer success, or forward-deployed work.AWS Certified DevOps Engineer Professional and/or AWS Certified Solutions Architect – Professional; CKA or a cloud AI/ML certification.Technical Skills & ToolsCloud (AWS): Bedrock, SageMaker, Lambda, ECS, EKS, Step Functions, S3, API Gateway, IAM, CloudWatchContainers & IaC: Docker, Kubernetes, Helm, Terraform (modules), AnsibleCI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD (GitOps)AI deployment (LLMOps): model and agent serving and scaling, RAG & vector databases, evaluation, prompt versioningObservability & cost: OpenTelemetry, Langfuse, Prometheus, GrafanaSecurity & governance: IAM, secrets management, network security, responsible-AI controlsScripting: Python, Go, BashGood to have: MLOps at scale (MLflow, model registries, feature stores), Databricks, Snowflake, Palantir FoundryRole: DevOps Engineer,Industry Type: IT Services & Consulting,Department: Engineering - Software & QA,Employment Type: Full Time, PermanentRole Category: DevOpsEducationUG: B.C.A. in Any Specialization, B.Tech / B.E. in Any Specialization, B.Sc in Any SpecializationPG: MS/M.Sc(Science) in Any Specialization, M.Tech in Any Specialization, MCA in Any SpecializationKey SkillsSkills highlighted with ‘‘ are preferred keyskillsAgentic AiDevOpsLLMAWSPythonDockerRAGCi/CdKubernetesAbout companyThanks & Regards,PwC - Bangalore Acceleration CenterEmail: [hidden] InfoAddress:4th Floor, Bagmane Tech Park, Byrasandra Village, KR Puram Hobli, CV Raman Nagar, Bangalore, KA, BANGALORE, Karnataka, IndiaBeware of imposters! Naukri.com does not promise a job or an interview in exchange of money. 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