Role description Agentic AI Databricks Raritan NJ Onsite Experience 7 years Location Flexible Hybrid Function Data Engineering AIML Engineering Cloud Data Platforms Role Summary We are looking for an experienced Databricks Azure professional with strong expertise in cloudscale data engineering lakehouse architecture Agentic AI and Databricks Agent Bricks The ideal candidate will have 7 or more years of experience designing building and operationalizing enterprise data and AI platforms on Azure Databricks with handson exposure to generative AI solutions retrievalaugmented generation vector search AI agents model serving MLflow Unity Catalog and productiongrade governance practices Roles Responsibilities Design develop and maintain scalable data engineering and AIML solutions on Azure Databricks using Delta Lake Unity Catalog Databricks Workflows Databricks SQL and MLflow Build and deploy Agentic AI applications using Databricks Agent Bricks Mosaic AI Agent Framework Knowledge Assistants Supervisor Agents toolcalling agents and multiagent orchestration patterns Develop retrievalaugmented generation solutions using Databricks Vector Search embeddings model serving endpoints foundation models and governed enterprise knowledge sources Architect lakehouse solutions across ingestion transformation orchestration governance security performance optimization and monitoring layers Integrate Azurenative services such as Azure Data Lake Storage Azure Data Factory Azure Key Vault Azure DevOps Microsoft Entra ID Azure Functions and Azure OpenAI where applicable Implement robust CICD pipelines for Databricks notebooks jobs bundles ML models and AI agent deployments using Azure DevOps or equivalent tools Establish data and AI governance standards using Unity Catalog access controls lineage audit logging model registry and secure serving patterns Optimize Spark workloads Delta tables SQL warehouses serverless compute cluster policies job performance and cost utilization Collaborate with data engineers ML engineers architects product teams and business stakeholders to convert business requirements into reliable data and AI capabilities Define best practices reusable frameworks coding standards deployment patterns and operational runbooks for Databricks and Agentic AI platforms Support production operations incident resolution root cause analysis monitoring SLA management and continuous improvement for data and AI workloads Mentor junior engineers and contribute to knowledge sharing technical design reviews proofofconcepts and platform modernization initiatives MustHave Skills 7 years of overall experience in data engineering analytics engineering AIML engineering or cloud data platform engineering Strong handson experience with Azure Databricks Apache Spark PySpark Spark SQL Delta Lake Delta Live Tables Databricks Workflows Databricks SQL and Lakehouse architecture Practical experience with Databricks Agent Bricks Agentic AI patterns AI agents tool calling multiagent systems Knowledge Assistants Supervisor Agents and governed AI application development Handson experience building generative AI solutions such as RAG applications LLM chains prompt engineering workflows vector search implementations embeddings pipelines and model serving solutions Strong understanding of MLflow for tracking model lifecycle management tracing evaluation monitoring and deployment of ML and GenAI workloads Experience with Unity Catalog data governance access control catalogschematable permissions lineage auditability and secure AIdata sharing patterns Proficiency in Python SQL PySpark data modeling performance tuning API integration and productiongrade software engineering practices Experience with Azure services including ADLS Gen2 Azure Data Factory Azure DevOps Azure Key Vault Microsoft Entra ID Azure Monitor and Azure OpenAI or comparable LLM services Strong knowledge of CICD infrastructureascode concepts Gitbased development Databricks Asset Bundles environment promotion and release management Ability to troubleshoot complex data pipelines Spark performance issues job failures security constraints and AI model or agent behavior in production environments Good understanding of Responsible AI data privacy model evaluation hallucination mitigation guardrails prompt safety and enterprise AI governance Excellent communication stakeholder management documentation and technical leadership skills GoodtoHave Skills Experience with LangChain LangGraph OpenAI Agents SDK LlamaIndex MCP servers AI Gateway or custom agent frameworks Exposure to Databricks Apps Genie Foundation Model APIs Model Context Protocol integrations and enterprise chatbot or copilot implementations Experience with streaming data pipelines using

Structured Streaming Event Hu Skills Mandatory Skills :

Azure Data Factory, Databricks Other details Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

Benefits and Perks:

Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer :

The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Benefits Compensation range:

$100,000.00 to $140,000.00 per year About LTM LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.

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