Specialist AI/ML Engineering

Key Responsibilities

• Design, develop, and implement AI agents using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, and Databricks Agents
• Integrate AI agents with diverse enterprise data sources including APIs, Databricks Lakehouse, internal platforms, and unstructured document repositories
• Build end-to-end AI/ML pipelines using Databricks Lakehouse, MLflow, Workflows, and Unity Catalog
• Enable and optimize Retrieval-Augmented Generation (RAG) workflows for enterprise AI applications
• Collaborate with engineering, data science, and platform teams to deliver enterprise-grade AI automation and insights
• Work closely with product and business stakeholders to validate use cases, refine hypotheses, and align AI solutions with business outcomes
• Implement best practices in data architecture, agent evaluation, automation strategies, and secure data access
• Monitor and evaluate AI agents using frameworks such as DeepEval, RAGAS, TruLens, PromptFoo, LangSmith, and OpenTelemetry for LLMs
• Ensure secure integration using OAuth2, OIDC, JWT, RBAC, and regulated data access patterns
• Support deployment of cloud-native services including microservices, APIs, containers, and Kubernetes environments