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Senior Associate Forward Deployment Engineer (DevOps, AI Deployment) AI Deployment & DevOps Engineering | Forward Deployed Engineering Experience Required 59 years. Location: Bangalore / Hyderabad Job Summary A senior DevOps engineer who owns how AI solutions are deployed into a client's environment. 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 Responsibilities Own 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 Qualifications Substantial 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 Qualifications Enterprise 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 & Tools Cloud (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 Foundry .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.