Sr. Azure AI/ML Engineer
United States of America
Full Time
2 weeks ago
$64,000 - $121,000 USD
H1B Sponsor Likely
Key skills
PythonC#JavaLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG) systemsEmbeddingsVector searchVector databasesAzure AI SearchSemantic KernelAI FoundryLang ChainLlamaIndexAzure OpenAIOpenAIAnthropicREST APIsMicroservicesCloud-native architecturesSecure API developmentScalable API developmentData privacyCost optimizationMulti-agent workflowsTool-using workflowsAzure ServicesCloud application deploymentAzure cloud platformCI/CDDockerKubernetesCAIMachine LearningMLRAGAzure
About this role
Tata Consultancy Services is seeking a Senior Azure AI/ML Engineer to leverage their expertise in AI and machine learning. The role involves building RAG-based systems, developing secure APIs, and collaborating with teams to implement AI solutions using Azure services.
Responsibilities:
- 8+ years of Strong proficiency in Python, C#, or Java
- Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings, vector search, and LLMs
- Solid experience with Vector Databases and embedding-based search e.g. Azure AI Search
- Practical experience with Semantic Kernel, AI Foundry, Lang Chain, LlamaIndex, or similar frameworks, Azure Services
- Experience working with LLMs (Azure OpenAI, OpenAI, Anthropic, or equivalent)
- Strong understanding of REST APIs, microservices, and cloud-native architectures
- Experience in developing secure, scalable APIs and services to support AI-driven applications
- Ensure best practices around security, data privacy, observability, and cost optimization
- Experience in building multi-agent and tool-using workflows using Semantic Kernel, AI Foundry, or similar orchestration frameworks
- Collaborate with product, data science, and platform teams to translate business requirements into AI solutions
- Experience deploying applications on cloud platforms (Azure preferred)
- Familiarity with CI/CD, containerization (Docker), and orchestration (Kubernetes is a plus)
Requirements:
- 8+ years of Strong proficiency in Python, C#, or Java
- Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings, vector search, and LLMs
- Solid experience with Vector Databases and embedding-based search e.g. Azure AI Search
- Practical experience with Semantic Kernel, AI Foundry, Lang Chain, LlamaIndex, or similar frameworks, Azure Services
- Experience working with LLMs (Azure OpenAI, OpenAI, Anthropic, or equivalent)
- Strong understanding of REST APIs, microservices, and cloud-native architectures
- Experience in developing secure, scalable APIs and services to support AI-driven applications
- Ensure best practices around security, data privacy, observability, and cost optimization
- Experience in building multi-agent and tool-using workflows using Semantic Kernel, AI Foundry, or similar orchestration frameworks
- Collaborate with product, data science, and platform teams to translate business requirements into AI solutions
- Experience deploying applications on cloud platforms (Azure preferred)
- Familiarity with CI/CD, containerization (Docker), and orchestration (Kubernetes is a plus)