Tata Consultancy Services
Lead AI Engineer AI Agents (Semantic Kernel)
Must Have Technical/Functional Skills Were seeking a hands-on technical leader to architect, build, and operate AI Agents powered by Microsoft Semantic Kernel. Youll own end-to-end delivery: from prototyping and containerizing AI workloads, to setting up observability, to deploying and scaling in Azure. A .NET background is preferred. Semantic Kernel is mandatory skill. • 7+ years of software engineering experience, with 3+ years leading high-visibility projects • Deep expertise in Semantic Kernel for .NET 8+ • Hands-on experience with Azure compute and AI services: o AKS, ACI, App Service, Azure Functions o Azure OpenAI Service, Cognitive Search, Cosmos DB or Azure SQL • Strong containerization skills: Docker, multi-stage builds, image security scanning • CI/CD pipelines experience (Azure DevOps, GitHub Actions) for automated builds and deployments • Observability and monitoring proficiency: o Instrumentation with Application Insights / OpenTelemetry o Log Analytics, Prometheus, Grafana dashboards • Solid background in RESTful API design, microservices, and event-driven architectures • Familiarity with security and compliance in cloud environments (Azure Policy, Key Vault, RBAC) • Excellent communication skills; proven ability to drive technical decisions and mentor teams
Roles & Responsibilities - Lead design and implementation of AI Agents using Semantic Kernel, orchestrating prompts, skills, memory, and plugins - Containerize services into Docker images; author and maintain Dockerfiles and multi-stage CI/CD pipelines - Deploy and manage containerized workloads on Azure - Integrate with Azure AI services (OpenAI, Cognitive Services) for embedding, completions, and vector stores - Instrument services for observability on Azure - Define and enforce best practices for secure configuration, secret management (Azure Key Vault), and identity (Managed Identities) - Collaborate with data engineers, ML engineers, and architects to integrate retrieval-augmented generation (RAG) and knowledge bases
Nice to have: • Experience with vector and/or graph databases • Prior work on retrieval-augmented generation or custom embedding pipelines • Knowledge of Terraform for infrastructure as code • Open source contributions or published Semantic Kernel examples
Salary Range- $150,000-$200,000 a year
#LI-SP3 #LI-VX1
Must Have Technical/Functional Skills Were seeking a hands-on technical leader to architect, build, and operate AI Agents powered by Microsoft Semantic Kernel. Youll own end-to-end delivery: from prototyping and containerizing AI workloads, to setting up observability, to deploying and scaling in Azure. A .NET background is preferred. Semantic Kernel is mandatory skill. • 7+ years of software engineering experience, with 3+ years leading high-visibility projects • Deep expertise in Semantic Kernel for .NET 8+ • Hands-on experience with Azure compute and AI services: o AKS, ACI, App Service, Azure Functions o Azure OpenAI Service, Cognitive Search, Cosmos DB or Azure SQL • Strong containerization skills: Docker, multi-stage builds, image security scanning • CI/CD pipelines experience (Azure DevOps, GitHub Actions) for automated builds and deployments • Observability and monitoring proficiency: o Instrumentation with Application Insights / OpenTelemetry o Log Analytics, Prometheus, Grafana dashboards • Solid background in RESTful API design, microservices, and event-driven architectures • Familiarity with security and compliance in cloud environments (Azure Policy, Key Vault, RBAC) • Excellent communication skills; proven ability to drive technical decisions and mentor teams
Roles & Responsibilities - Lead design and implementation of AI Agents using Semantic Kernel, orchestrating prompts, skills, memory, and plugins - Containerize services into Docker images; author and maintain Dockerfiles and multi-stage CI/CD pipelines - Deploy and manage containerized workloads on Azure - Integrate with Azure AI services (OpenAI, Cognitive Services) for embedding, completions, and vector stores - Instrument services for observability on Azure - Define and enforce best practices for secure configuration, secret management (Azure Key Vault), and identity (Managed Identities) - Collaborate with data engineers, ML engineers, and architects to integrate retrieval-augmented generation (RAG) and knowledge bases
Nice to have: • Experience with vector and/or graph databases • Prior work on retrieval-augmented generation or custom embedding pipelines • Knowledge of Terraform for infrastructure as code • Open source contributions or published Semantic Kernel examples
Salary Range- $150,000-$200,000 a year
#LI-SP3 #LI-VX1