Azure AI Engineer

About the role

Azure AI Engineer

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 73000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, innovative analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision-making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

Please visit www.exlservice.com for more information about EXL Analytics.

Role Overview:

We are seeking a highly motivated and skilled Azure AI Engineer with a strong background in data science, Natural Language Processing (NLP), and/or Computer Vision. In this role, you will be responsible for building and deploying advanced AI and Generative AI solutions on Microsoft Azure using deep learning and machine learning techniques to solve complex problems. Your expertise in NLP or Computer Vision, combined with hands-on Azure AI experience, will be instrumental in enhancing our AI-driven solutions.

Key Responsibilities & Skillsets:

Design and deploy sophisticated agentic workflows using Azure AI Foundry Agent Service and frameworks like Semantic Kernel, AutoGen, or LangGraph.

Work with large datasets to extract insights, build predictive models, and optimize AI algorithms.

Architect "fail-safe" systems that include human-in-the-loop (HITL) triggers, automated error recovery, and fallback logic to ensure business continuity.

Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using Vector Embeddings, Vector Caching, and Azure AI Search (vector and hybrid retrieval).

Utilize Model Context Protocol (MCP) to connect AI agents with external data sources, tools, and existing Azure and on-premises environments.

Mitigate data leakage risks and implement rigorous model output traceability and auditability logs to meet compliance standards.

Research and stay up-to-date with the latest advancements in Gen AI to apply innovative solutions.

Communicate findings and results to non-technical stakeholders and provide actionable insights.

Build automated monitoring for agentic flow performance, cost, and latency, utilizing Azure Monitor, Application Insights, and custom telemetry.

Ensure data privacy, responsible AI and security practices are upheld throughout the AI development process, leveraging Azure AI Content Safety, Entra ID and Microsoft Purview.

Candidate Profile:

A Master's or Ph.D. in a related field, such as Computer Science, Data Science, or a similar discipline.

Strong experience in data science and Gen AI agentic solution development and deployment on Microsoft Azure.

Proficiency in Python, Azure Database for PostgreSQL, Git and vector databases (Azure AI Search, Cosmos DB).

Expert-level proficiency in Azure OpenAI Service / Azure AI Foundry, Azure Machine Learning, and Azure Functions.

Deep understanding of Graph Networks (Azure Cosmos DB Gremlin API / GraphRAG) and their application in enhancing agent reasoning and RAG accuracy.

Excellent problem-solving skills and the ability to work on complex AI projects.

Strong communication skills to convey technical concepts to non-technical team members.

Experience with frameworks and tools such as - PyTorch, LangChain, Semantic Kernel, AutoGen, Azure DevOps and GitHub Actions.

Knowledge of data preprocessing, PDF processing, RAG evaluation and CI/CD pipeline.

Azure certifications (AI-102, DP-100) and familiarity with big data technologies such as Azure Databricks, Synapse or Microsoft Fabric are a plus.

What we offer:

EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world-class analytics consultants.

You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth

Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.

We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.

Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.