Sr AI Engineer

Senior AI Engineer

Job Summary

We are looking for an experienced and highly skilled Senior AI Engineer with 7 + years of professional experience to join our AI engineering team. The candidate will be responsible for designing, developing, deploying, and optimizing enterprise-grade AI and Machine Learning solutions using modern Microsoft technologies and cloud platforms .

The role requires strong hands-on expertise in Python, Azure, Azure OpenAI, Azure AI Agents, Microsoft Fabric, Machine Learning, Generative AI, and LLM-based applications . The candidate will work closely with engineering, data, and business teams to build scalable and production-ready AI solutions.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML and Agentic AI solutions for enterprise applications.

• Build and integrate LLM-powered applications, AI agents, APIs, and intelligent automation solutions .

• Develop solutions using Azure AI Agents, Azure AI Services, Azure Machine Learning, and Microsoft Fabric .

• Design and implement AgentOps pipelines for data preparation, model development, evaluation, deployment, and monitoring.

• Work with Large Language Models (LLMs), prompt engineering, RAG, embeddings, vector search, and AI agents .

• Develop robust and scalable applications using Python and C#/.NET .

• Integrate AI capabilities with enterprise applications through REST APIs and cloud-native services .

• Work with Microsoft Fabric for data engineering, analytics, and AI/ML use cases.

• Implement model and application optimization techniques to improve performance, scalability, accuracy, and reliability.

• Collaborate with data engineers, software engineers, solution architects, and business stakeholders to translate requirements into technical solutions.

• Participate in technical design, architecture discussions, code reviews, testing, and production deployments.

• Implement CI/CD, version control, and deployment workflows using Git/GitHub and Azure DevOps .

• Troubleshoot production issues and provide technical solutions for AI/ML applications.

• Follow secure coding, cloud security, data governance, and enterprise development best practices.

• Mentor junior AI engineers and contribute to technical knowledge sharing within the team.

• Stay updated with emerging developments in Generative AI, Microsoft AI technologies, LLMs, and Machine Learning .

Qualifications

• Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field .

• 5+ years of professional experience in AI/ML, Machine Learning Engineering, Data Science, Software Engineering, or a related role.

• Strong hands-on experience in developing and deploying production-grade AI/ML solutions .

• Strong programming experience in Python .

• Good hands-on experience with C#/.NET and enterprise application development.

• Strong understanding of Machine Learning concepts, model evaluation, optimization, and deployment.

• Experience working with cloud-based AI and data platforms, preferably within the Microsoft Azure ecosystem .

• Strong analytical, problem-solving, communication, and collaboration skills.

Required Technical Skills

Microsoft Azure Technologies

• Microsoft Azure

• Azure OpenAI Service

• Azure AI Services

• Azure Machine Learning

• Microsoft Fabric

• Azure Functions and other Azure cloud services

• Azure DevOps

AI / Machine Learning

• Machine Learning and Deep Learning fundamentals

• Generative AI and Large Language Models (LLMs)

• Prompt Engineering

• Retrieval-Augmented Generation (RAG)

• Embeddings and Vector Search

• AI Agents / Agentic AI

• Model evaluation and optimization

• AI/ML deployment and monitoring

Programming Development

• Python - Strong proficiency

• C#/.NET

• SQL

• REST APIs

• Git/GitHub

• Software development and debugging practices

Data Cloud

• Microsoft Fabric

• Data processing and data pipelines

• Cloud architecture and services

• Data integration and API development

Preferred Skills

• Azure Agent Framework

• LangChain / LangGraph

• Azure AI Search

• Azure Data Factory

• Databricks

• Docker and containerization

• Kubernetes

• MLOps / LLMOps

• CI/CD pipelines

• Power BI

• Experience building enterprise AI agents and copilots

• Experience with vector databases and semantic search

• Knowledge of responsible AI, AI security, and governance

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.