Senior Microsoft AI Developer (Azure / Python)

We are looking for a Senior AI/GenAI Engineer with strong hands-on experience building and deploying production-grade AI solutions on Azure. This is not a data engineering role. This role is responsible for designing end-to-end AI architectures, leading technical decisions, and translating business needs into scalable, reliable, and secure GenAI systems.

You will work closely with cross-functional teams to deliver AI-powered solutions (copilots, AI agents, RAG pipelines) that support both internal operations and client-facing services.

Responsibilities

• Design, build, and deploy production-grade GenAI solutions (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance
• Own end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services
• Lead the development of LLM-powered applications using Azure-native services and modern orchestration frameworks
• Implement LLMOps practices, including monitoring, logging, evaluation, prompt/version management, and cost optimization
• Translate business requirements into technical AI solutions and define scalable implementation strategies
• Ensure security, governance, and compliance across all AI solutions
• Optimize AI systems for latency, cost, and accuracy in production environments
• Provide technical leadership, mentor engineers, and drive best practices in system design and code quality

We are looking for a Senior AI/GenAI Engineer with strong hands-on experience building and deploying production-grade AI solutions on Azure. This is not a data engineering role. This role is responsible for designing end-to-end AI architectures, leadin...

• Proven experience as a Senior or Lead Engineer delivering production-grade AI/ML or GenAI solutions
• Strong hands-on expertise in Azure, including designing and deploying end-to-end AI architectures
• Experience with Azure AI Foundry, Azure OpenAI, and enterprise AI service integration
• Solid experience building AI agents using Microsoft Agent Framework (or similar frameworks)
• Strong Python experience building AI applications, APIs, and LLM-based services (not only data pipelines)
• Strong experience with RAG architectures, prompt engineering, and LLM orchestration
• Experience with Databricks, Azure Data Factory, and SQL for data-driven AI solutions
• Hands-on experience with LLMOps / MLOps practices (monitoring, evaluation, versioning, deployment pipelines)
• Strong understanding of system design, scalability, and distributed systems
• Proven ability to deliver measurable impact in production environments (e.g., automation, cost savings, performance improvements)
• Strong communication skills with the ability to work with both technical and non-technical stakeholders
• Experience leading technical initiatives and mentoring engineers in a delivery-focused environment

We are looking for a Senior AI/GenAI Engineer with strong hands-on experience building and deploying production-grade AI solutions on Azure. This is not a data engineering role. This role is responsible for designing end-to-end AI architectures, leading technical decisions, and translating business needs into scalable, reliable, and secure GenAI systems.

You will work closely with cross-functional teams to deliver AI-powered solutions (copilots, AI agents, RAG pipelines) that support both internal operations and client-facing services.

Responsibilities

• Design, build, and deploy production-grade GenAI solutions (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance
• Own end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services
• Lead the development of LLM-powered applications using Azure-native services and modern orchestration frameworks
• Implement LLMOps practices, including monitoring, logging, evaluation, prompt/version management, and cost optimization
• Translate business requirements into technical AI solutions and define scalable implementation strategies
• Ensure security, governance, and compliance across all AI solutions
• Optimize AI systems for latency, cost, and accuracy in production environments
• Provide technical leadership, mentor engineers, and drive best practices in system design and code quality

We are looking for a Senior AI/GenAI Engineer with strong hands-on experience building and deploying production-grade AI solutions on Azure. This is not a data engineering role. This role is responsible for designing end-to-end AI architectures, leadin...

• Proven experience as a Senior or Lead Engineer delivering production-grade AI/ML or GenAI solutions
• Strong hands-on expertise in Azure, including designing and deploying end-to-end AI architectures
• Experience with Azure AI Foundry, Azure OpenAI, and enterprise AI service integration
• Solid experience building AI agents using Microsoft Agent Framework (or similar frameworks)
• Strong Python experience building AI applications, APIs, and LLM-based services (not only data pipelines)
• Strong experience with RAG architectures, prompt engineering, and LLM orchestration
• Experience with Databricks, Azure Data Factory, and SQL for data-driven AI solutions
• Hands-on experience with LLMOps / MLOps practices (monitoring, evaluation, versioning, deployment pipelines)
• Strong understanding of system design, scalability, and distributed systems
• Proven ability to deliver measurable impact in production environments (e.g., automation, cost savings, performance improvements)
• Strong communication skills with the ability to work with both technical and non-technical stakeholders
• Experience leading technical initiatives and mentoring engineers in a delivery-focused environment