AI Engineer / Technical Consultant – AI Integration
Vrinda International
- Location
- Onsite (Bangalore, Karnataka)
- Compensation
- INR 2000k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted Today
About the role
Vrinda International is seeking an AI Engineer to architect and develop enterprise-grade AI solutions using Python and Azure cloud services. The role focuses on automating complex workflows, implementing robust security frameworks, and managing CI/CD pipelines to deliver high-impact AI-driven business value.
Skills
Python
Azure Functions
Logic Apps
Event Grid
GitHub Actions
Azure DevOps
RBAC
Entra ID
Key Vault
Prompt Engineering
Azure Databricks
SQL
Azure Data Factory
Azure Data Lake Storage
Azure OpenAI
RAG
Full job details
AI Engineer / Technical Consultant – AI Integration
Summary
We are seeking a highly skilled AI Engineer and Technical Consultant to drive the strategic implementation and integration of advanced artificial intelligence solutions within our IT Services framework. This pivotal role focuses on leveraging cutting-edge cloud technologies to design, build, and optimize scalable AI architectures that enhance enterprise capabilities. The ideal candidate will bridge the gap between complex data engineering, robust security protocols, and innovative AI applications, ensuring seamless deployment of agentic systems and responsible AI practices. This position is critical for advancing our technical infrastructure and delivering high-impact AI-driven business value.
Responsibilities
- Architect and develop enterprise-grade AI solutions utilizing Python, Azure Functions, Logic Apps, and Event Grid to automate complex workflows.
- Establish and maintain robust DevOps pipelines using GitHub Actions and Azure DevOps to ensure efficient Continuous Integration and Continuous Deployment (CI/CD).
- Implement comprehensive security frameworks including Role-Based Access Control (RBAC), Entra ID integration, and Key Vault management to protect sensitive data and resources.
- Design and refine prompt engineering strategies, oversee Model Context Protocol (MCP) implementation, and enforce Responsible AI guidelines with continuous monitoring mechanisms.
- Define and govern enterprise architecture standards, ensuring alignment with organizational goals and regulatory compliance.
- Engineer scalable data solutions using Azure Databricks, SQL, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) for advanced data modeling and processing.
- Develop Retrieval-Augmented Generation (RAG) systems and Agentic AI applications using Azure OpenAI to deliver intelligent, context-aware user experiences.
- Build and manage secure REST APIs via API Management (APIM) to facilitate seamless cloud-native integration across diverse enterprise systems.
Requirements
Requirements:
- Experience: 6-8 years of professional experience in AI engineering, technical consulting, or related cloud-native development roles.
- Programming & Automation: Proficiency in Python with extensive hands-on experience in Azure Functions, Logic Apps, and Event Grid.
- DevOps Expertise: Demonstrated ability to configure and manage CI/CD pipelines using GitHub Actions and Azure DevOps.
- Security Knowledge: Strong background in implementing security controls, including RBAC, Entra ID, and Key Vault configurations.
- AI & ML Skills: Expertise in prompt engineering, MCP, Responsible AI principles, and AI monitoring tools.
- Architecture & Governance: Proven track record in enterprise architecture design and governance frameworks.
- Data Engineering: Advanced skills in Azure Databricks, SQL, ADF, ADLS, and data modeling techniques.
- Generative AI: Experience in building RAG pipelines and Agentic AI solutions using Azure OpenAI.
- Integration: Competence in developing REST APIs and managing them through APIM for cloud-native integration.
- Salary Expectation: The role offers a competitive compensation package of ₹20 LPA.