[Hiring] Subject Matter Expert - AI Infrastructure & Sovereign Deployment @Manning Global

Role Description

This is a remote position.

Manning Global is recruiting for a Subject Matter Expert - AI Infrastructure & Sovereign Deployment on behalf of one of their blue-chip international clients to join their organization in India.

Key Responsibilities:

• Own the environments for Business AI Cloud deployments, focusing on private cloud, virtual private cloud, and on-premises deployments inside regulated enterprises.
• Bring deep Linux, Kubernetes, and cloud infrastructure expertise.
• Take an AI platform through a large enterprise's security review and into its landing zone.
• Design and run the infrastructure for Business AI Cloud deployments across SaaS, virtual private cloud, private cloud, and on-premises environments.
• Deploy and operate containerized platform workloads on Kubernetes or OpenShift, including sizing, scaling, and high availability.
• Plan and optimize GPU and CPU capacity for model inference and fine-tuning workloads.
• Integrate deployments into the client's 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, ensuring data stays inside the client's controlled environment.
• Build automation with Terraform, Ansible, Helm, and CI/CD for repeatable deployments across clients, and document the reference deployment.

Qualifications

• Bachelor's or master's degree in computer science, data science, or a similar field.
• 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 (e.g., Pinecone, Weaviate), RAG pipelines (e.g., LlamaIndex, Haystack), and agent orchestration frameworks (e.g., 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.
• Strong communication skills with senior business and technical stakeholders.
• Willingness to work on-site with clients as required by the engagement.

Requirements

• Experience with container orchestration platforms like Kubernetes or OpenShift.
• Familiarity with automation tools such as Terraform, Ansible, and CI/CD practices.
• Understanding of security hardening and compliance controls.
• Ability to work in regulated enterprise environments.

Benefits

• Full-time, permanent employment.
• Remote work opportunity.
• Competitive salary (TBD).
• Opportunity to work with leading corporations in various sectors.