Subject Matter Expert - AI Infrastructure & Sovereign Deployment

Job Description This is a remote position. Manning Global, an Internationally renowned staffing and managed services organization specializing in providing staffing solutions for leading corporations in AI, IT & Telecoms, Engineering, Digital Media, Automotive and Renewable Energy is recruiting for Subject Matter Expert - AI Infrastructure & Sovereign Deployment on behalf of one of their blue-chip international clients to join their organization in the India. Job Title: Subject Matter Expert - AI Infrastructure & Sovereign Deployment Employment: Full time, Permanent Start Date: 09/2026 Country: India, Bengaluru - Remote Salary range: TBD Contact: Ashwini Chawan on: +49 (0) 89 23 88 98 35 Key Responsibilities We are seeking a Subject Matter Expert in AI platform infrastructure to own the environments our Business AI Cloud deployments run in, with a focus on private cloud, virtual private cloud, and on-premises deployments inside regulated enterprises. You will bring deep Linux, Kubernetes, and cloud infrastructure expertise, and the experience to take an AI platform through a large enterprise;s own security review and into its landing zone. This role is central to our sovereign and regulated deployment practice. Design and run the infrastructure for Business AI Cloud deployments across SaaS, virtual private cloud, private cloud, and on-premises environments. Deploy and operate containerised platform workloads on Kubernetes or OpenShift, including sizing, scaling, and high availability. Plan and optimise GPU and CPU capacity for model inference and fine-tuning workloads. Integrate deployments into the clients own cloud landing zones: networking, identity and SSO, secrets management, logging, and monitoring. Implement security hardening, vulnerability management, and compliance controls, and support client security reviews and audits through to approval. Connect the platform to enterprise data sources using zero-copy patterns, so data stays inside the client;s controlled environment. Build automation with Terraform, Ansible, Helm, and CI/CD so deployments are repeatable across clients, and document the reference deployment. Experience/Qualifications: Bachelors or masters degree in computer science, data science, or a similar field, with 5+ years of engineering experience including 2+ years in customer-facing or field roles. Proven experience building and shipping production software: full-stack skills (Python plus Node.js or Go; React or a similar front-end framework), Docker, Kubernetes, and CI/CD. Strong enterprise integration experience: REST, SQL, GraphQL, webhooks, and data pipelines across enterprise systems. Hands-on production experience with LLM applications: prompt engineering, vector databases (for example Pinecone, Weaviate), RAG pipelines (for example LlamaIndex, Haystack), and agent orchestration frameworks (for example LangChain, LangGraph, CrewAI). MCP-based integration experience is a plus. Experience fine-tuning or distilling language models is a strong advantage. Ability to translate ambiguous client needs into clear engineering plans, and to communicate well with senior business and technical stakeholders. Willingness to work on-site with clients as required by the engagement.