We are seeking a Senior AI Platform Engineer with overall 7 to 10 years of experience to design build and operate a secure scalable enterprise AI platform on Microsoft Azure primarily hosted on Azure Kubernetes Service AKS The role requires a strong platform engineering mindset combining AI engineering cloudnative engineering DevSecOps LLMOps security automation observability and operational excellence The engineer will create reusable platform capabilities that enable teams to build and productionize generative AI RAG and agentic AI solutions efficiently
Key Responsibilities
Design build and operate scalable AI platform capabilities on Azure and AKS
Engineer capabilities for LLM applications RAG solutions AI agents multiagent workflows AI gateways guardrails and model evaluation
Develop reusable platform services APIs deployment templates and reference implementations
Build agent harness capabilities covering orchestration tool integration memory context management state management policy enforcement tracing and exception handling
Enable secure integration with enterprise tools and data sources using Model Context Protocol MCP APIs connectors and eventdriven patterns
Implement vector database and enterprise search capabilities using technologies such as Azure AI Search PostgreSQL with pgvector or equivalent platforms
Implement centralized AI guardrails for prompt injection unsafe content sensitivedata exposure inappropriate tool execution and unauthorized access
Establish CICD and Infrastructure as Code practices using GitHub GitHub Actions Terraform and container technologies
Embed security testing container scanning dependency scanning policy validation AI evaluation and guardrail testing into delivery pipelines
Implement endtoend observability for infrastructure applications LLM calls token consumption RAG pipelines agent workflows security events and costs
Provide selfservice onboarding golden paths sample repositories documentation and operational runbooks for engineering teams
Collaborate with architects AI engineers developers security risk data and operations teams to establish enterprise AI platform standards
Primary Skills
Microsoft Azure and Azure Kubernetes Service
Kubernetes Docker and container orchestration
Azure OpenAI and Microsoft Foundry
Large Language Models and generative AI
Agentic AI and multiagent systems
Agent harness and orchestration engineering
Model Context Protocol and tool integration
RetrievalAugmented Generation
Embeddings vector search and vector databases
Azure AI Search PostgreSQL and pgvector
AI gateways model gateways and API Management
AI guardrails content safety and responsible AI
Prompt model RAG and agent evaluation
LLMOps MLOps and AI observability
GitHub GitHub Actions and DevSecOps
Terraform Bicep and Infrastructure as Code
Entra ID managed identity RBAC Key Vault and private networking
Azure Monitor Application Insights OpenTelemetry Prometheus and Grafana
Python and any other programming language like Java C
LangChain LangGraph Semantic Kernel AutoGen or equivalent frameworks
Required Qualifications
Strong experience in building an enterprise AI platform cloud engineering DevOps SRE or distributed systems
Practical experience with LLMs RAG embeddings vector databases AI agents MCP guardrails and AI evaluation
Experience with Azure AI Search Azure API Management Azure Container Registry Key Vault and Azure monitoring services
Experience with LangChain LangGraph Semantic Kernel MCP servers agent registries tool catalogs or model gateways
Experience implementing multitenant AI platforms with workload identity network data and cost isolation
Familiarity with AI governance privacy model risk management threat modeling and regulatory controls
Handson experience designing and operating production workloads on Azure and AKS
Strong knowledge of Kubernetes networking security scaling identity observability and workload isolation
Experience building automated delivery pipelines using GitHub Actions and Infrastructure as Code
Strong understanding of APIs microservices eventdriven integration authentication authorization and secure software development
Experience operationalizing production platforms with defined availability performance security and support requirements
Proficiency in at least one modern programming language
Solid troubleshooting documentation collab
Skills
Mandatory Skills : AI platform engineering
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.