{"id":1266297,"url":"https://alion.io/job/strategic-hr-solutions-aws-ai-platform-engineer","title":"AWS AI Platform Engineer","company":{"id":3800623,"name":"Strategic HR Solutions","domain":"strategichr.org","url":"https://alion.io/company/strategic-hr-solutions","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"API Gateway","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Terraform","optional":false},{"name":"Zero Trust","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-07T04:28:43Z","employer_posted_date":null,"last_verified_at":"2026-09-07T04:28:43Z","board_verified":false,"closed_at":null,"days_open":46,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":46},"description":"Role : AWS AI Platform Engineer (Agentic AI / MCP Gateway)\n\nYears of Experience : 8+ Years\n\nPrimary Skills : AWS Bedrock, MCP Gateway, Agentic AI Infrastructure, Terraform/CDK, EKS, Zero-Trust AI Security Function\n\nRole Summary : \n\nWe are seeking an AWS AI Platform Engineer to build and operate production-grade agentic AI infrastructure, including MCP Gateway and governed API/tool-calling capabilities on AWS. The role covers enterprise-scale infrastructure automation, AWS Bedrock-based AI platform engineering, and zero-trust AI security, including SSO/SCIM/Entra ID integration. The engineer will work with modern AI orchestration frameworks and enterprise security, risk, and governance practices to deliver reliable, compliant AI platform capabilities, ideally within a regulated industry context.\n\nPrimary Skills (Must Have) : \n\n- 8+ years of experience in Cloud Engineering, Platform Engineering, DevOps, MLOps, Infrastructure Engineering, or AI Platform Engineering.\n\n- 3+ years supporting production AI / ML / Generative AI workloads on AWS.\n\n- Strong experience with Terraform, AWS CDK, Infrastructure as Code, and enterprise-scale AWS deployments.\n\n- Hands-on experience with API Gateway, routing, authentication, authorisation, rate limiting, and audit logging.\n\n- Extensive AWS security experience - IAM, secrets management, identity federation, and Zero Trust architectures.\n\n- Experience with AWS Bedrock, EKS, Lambda, API Gateway, CloudWatch, X-Ray, Docker, Helm, and CI/CD pipelines.\n\nTechnical Knowledge : \n\nAI Platform & Orchestration : \n\n- MCP Gateway and tool-calling infrastructure.\n\n- AWS Bedrock, EKS, API Gateway, Lambda, IAM.\n\n- LangGraph, AutoGen, Bedrock Agents.\n\n- MLflow, Kubeflow, model registries, and MLOps practices.\n\nInfrastructure & Security : \n\n- Terraform, AWS CDK, and infrastructure automation.\n\n- OAuth 2.0, OIDC, JWT, RBAC, ABAC.\n\n- Docker, Kubernetes, Helm.\n\nObservability : \n\n- CloudWatch, X-Ray, Prometheus, Grafana, Datadog, OpenTelemetry.\n\nGovernance & Delivery : \n\n- Enterprise security, risk, governance, and responsible AI practices.\n\n- Agile delivery practices.\n\nSecondary Skills (Nice to Have) : \n\n- Experience with MCP or equivalent AI tool-calling frameworks is highly desirable.\n\n- Experience in regulated industries such as Banking, Financial Services, Insurance, Healthcare, or Telecommunications is preferred.\n\nExperience & Qualifications : \n\n- 8+ years of overall experience in cloud, platform, DevOps, MLOps, or AI platform engineering.\n\n- 3+ years specifically supporting production AI/ML/GenAI workloads on AWS.\n\n- Bachelor's / Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).\n\nWays of Working : \n\n- Agile delivery within a production AI platform engineering team.\n\n- Collaboration with security, risk, and governance functions on responsible AI delivery.\n\n- Locations open across Bangalore and Pune.\nSkills\nAWS, Agentic AI, AWS Bedrock, Terraform, CDK, Entra ID, DevOps, MLOps, API Gateway","description_format":"text","description_chars":3003,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long 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