Posted 15 July, 2026
AI Engineer (Azure AI / GenAI)
VARITE INDIA PRIVATE LIMITED
Bangalore, Karnataka, IN
Full Time
Reference: 26-38690-2522-2
Company Name: VARITE India Private Limited
About The Client:
An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
About The Client:
An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.
About The Job:
- Experience: 5–9 Years
- The Senior Technical Lead is a hands-on Azure AI Engineer responsible for building, integrating, and operationalizing Generative AI and AI-driven workflows using Azure AI Foundry and Azure OpenAI for enterprise use cases.
- This role focuses on technical implementation leadership, ensuring scalable, secure, and production-ready AI solutions while collaborating closely with architects, product teams, and cloud engineering teams.
Essential Job Functions:
Azure AI & GenAI Implementation
- Design, develop, and deploy Python-based AI services using Azure OpenAI, Azure AI Search, and Azure AI Foundry.
- Build and implement enterprise-grade Generative AI solutions.
-
Develop LLM-based use cases including:
- Retrieval Augmented Generation (RAG)
- Document Summarization
- Document Comparison
- Document Chunking
- AI-Powered Chatbots
- Internal Knowledge Assistants
-
Implement embedding models and integrate them with vector stores such as:
- Azure AI Search
- FAISS-Based Architectures
- Optimize prompts, retrieval mechanisms, and AI workflows for performance and accuracy.
Agentic AI & Orchestration Patterns
- Design and implement agentic AI workflows.
-
Develop solutions utilizing:
- Tool Calling
- Prompt Chaining
- Function Calling
- Multi-step Agent Workflows
-
Work extensively with AI orchestration frameworks including:
- LangChain
- LangGraph
- LlamaIndex
- Implement intelligent workflows that combine LLMs, tools, APIs, and enterprise data sources.
Azure Cloud & DevOps
- Build, deploy, and manage AI solutions using Azure cloud-native services.
-
Develop and deploy applications using:
- Azure App Services
- Azure Functions
- Containerized Environments
- Implement CI/CD pipelines using Azure DevOps and YAML-based deployment frameworks.
-
Ensure secure deployment through:
- Managed Identities
- Azure Key Vault
- Private Endpoints
- Enterprise Security Standards
- Support production deployment, monitoring, troubleshooting, and optimization activities.
Delivery & Collaboration
- Lead technical implementation for assigned features, user stories, and sprint deliverables.
-
Collaborate closely with:
- Group Technical Architects (Design Authority)
- Product Owners
- Business Analysts
- Azure Infrastructure Teams
- Security Teams
- Ensure high standards for code quality, maintainability, testing, and documentation.
- Drive production readiness reviews and deployment best practices.
- Participate in technical discussions, architecture reviews, and AI innovation initiatives.
Qualifications:
Mandatory Skills & Experience
- 5–9 years of experience in Software Engineering, AI Engineering, Cloud Development, or related technical roles.
- Strong hands-on experience in Python development.
-
Experience developing Generative AI solutions using:
- Azure OpenAI
- Azure AI Search
- Azure AI Foundry
-
Hands-on implementation experience with:
- Retrieval Augmented Generation (RAG)
- Embedding Models
- Vector Databases
- Prompt Engineering
- LLM Applications
-
Experience with Agentic AI development including:
- Tool Calling
- Prompt Chaining
- Function Calling
- Workflow Orchestration
-
Hands-on experience with:
- LangChain
- LangGraph
- LlamaIndex
- Experience building and deploying cloud-native applications on Microsoft Azure.
-
Strong understanding of:
- Azure Functions
- Azure App Services
- Containers
- Azure DevOps
- CI/CD Pipelines
- Knowledge of enterprise cloud security including Managed Identities, Key Vault, and Private Endpoints.
- Strong understanding of REST APIs, microservices, and distributed systems.
- Excellent problem-solving, analytical, and troubleshooting skills.
- Strong communication and stakeholder management capabilities.
Preferred Skills
- Experience with Azure AI Studio / Azure AI Foundry enterprise deployments.
- Knowledge of vector databases and semantic search architectures.
- Experience with Docker and Kubernetes.
- Exposure to machine learning workflows and MLOps.
- Experience working in Agile/Scrum delivery environments.
- Knowledge of enterprise AI governance, responsible AI, and security best practices.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
