Senior AI Engineer – Azure AI Foundry & Databricks
Top Gen AI Jobs
Location
🇮🇳 Pimpri-Chinchwad, India
Type
full_time
Salary
Undisclosed
Posted
2w ago
Job Description
Home/Jobs/Senior AI Engineer – Azure AI Foundry & Databricks Senior AI Engineer – Azure AI Foundry & Databricks R Systems Noida / Pune 6-8 years Today $49.4K–62.7K/yr Full-time Onsite
Skills Required
LLMOps RAG Prompt Engineering LangChain LlamaIndex Azure OpenAI Service Fine-tuning Vector Database GPT Claude LangGraph Semantic Kernel AutoGen CrewAI Azure AI Search Description R Systems is hiring a Senior AI Engineer focused on Azure AI Foundry and Databricks.
The role
is centered on building enterprise Generative AI solutions, agents, copilots, and RAG-based applications. Company: R Systems Role: Senior AI Engineer – Azure AI Foundry & Databricks Location: Noida / Pune, India Experience • 6+ years in Software Engineering, Data Engineering, ML Engineering, or AI Engineering • 2+ years of hands-on experience delivering Generative AI solutions in production • Proven experience building enterprise AI applications on Azure Qualification • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field
Responsibilities
Design, develop, and deploy enterprise-grade Generative AI solutions using Azure AI Foundry
Build and manage AI applications with Azure OpenAI, AI Search, Prompt Flow, Content Safety, and Agent Services
Architect and implement Retrieval-Augmented Generation solutions
Develop AI assistants, copilots, autonomous agents, and multi-agent orchestration frameworks
Design prompt engineering strategies and evaluation frameworks
Design and develop AI solutions using Databricks Genie, Mosaic AI, Vector Search, and Unity Catalog
Build AI agents and conversational analytics experiences using Databricks Data Intelligence Platform
Develop scalable APIs and backend services supporting AI applications
Establish CI/CD pipelines, monitoring, governance, security, and compliance controls
Mentor junior engineers and establish AI engineering best practices Additional
Responsibilities
Use Azure AI services, Databricks ecosystem, LLMs, and agentic frameworks to drive solution development from design to production
Lead end-to-end AI solution delivery
Provide stakeholder management and communication support
Drive technical excellence within the team
Nice To Have
Azure AI Engineer Associate Certification
Azure Solutions Architect Certification
Databricks Certified Data Engineer or Machine Learning Professional
Experience with MLOps and LLMOps platforms
Experience deploying AI workloads using Kubernetes and Docker
Exposure to Microsoft Copilot ecosystem
JavaScript/TypeScript preferred More Skills Azure AI Foundry, Prompt Flow, Azure AI Agent Service, Azure AI Content Safety, Model Catalog & Deployment, Responsible AI, Databricks Data Intelligence Platform, Databricks Genie, Mosaic AI, Vector Search, Unity Catalog, Delta Lake, MLflow, Databricks Workflows, Llama, Multi-Agent Systems, Function Calling, Tool Orchestration, Python, PySpark, SQL, REST APIs, FastAPI, JavaScript/TypeScript Other
Employment Type: Full-Time
Department: AI & Data Engineering
Location also listed as Noida, Uttar Pradesh, India and Pune, Maharashtra, India
Experience range also listed as 6 to 8 years
Great Place to Work Certified in 10 countries
Company works across Cloud, Data, AI, and Customer Experience
Serves ISVs, SaaS, internet companies, and organizations in telecom, media, healthcare, finance, and manufacturing
Purpose-driven projects
Continuous learning through development programs, certifications, and e-learning collaborations
Diversity and inclusion culture
Flexible work policies for work-life balance
Frequent internal hackathons
Collaborative culture and team events
Varied industry experience across healthcare, banking, e-commerce, and retail
Centre of Excellence for technical guidance and upskilling
Open door policy
Equal opportunity employer
Posted date: 3 Aug 2026 Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Functions, Tools and Agents with LangChain Coursera Advanced LangChain covering function calling, tool use, and conversational agents. LangChain Chat with Your Data Coursera Build RAG applications with LangChain — document loading, splitting, embeddings, and retrieval. LangChain for LLM Application Development Coursera Official LangChain course taught by Harrison Chase. Covers chains, agents, and memory. More LLMOps jobs Gen AI Developer Infosys Bengaluru Today GenAI Developer Eazygurus Hyderabad Today AI Engineer Mastercard Pune Today AI Engineer Mastercard Gurugram Today AI Engineer Mastercard Pune Today Staff AI Agentic Automation Platform Engineer