DEA - Snowflake Data Engineering - Agentic AI (Sub Contrator) at Zensar Technologies UK Ltd

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Agentic AI, Knowledge Bases, Vector Databases, Semantic Search, Retrieval-Augmented Generation, Prompt Engineering, MCP Protocol, Multi-Agent Systems, ML Ops, Feature Stores, Feedback Loops, Continuous Model Improvement, Stakeholder Collaboration, Cortex AI, Data Platform Modernization

Industry

IT Services and IT Consulting

Description

Job Title: AI Engineer – Agentic AI Location: Anywhere Urgency: Immediate Joiners Preferred About the Role: Seeking a highly skilled AI Engineer to support its strategic initiatives around modernizing the data platform and enabling business outcomes through Cortex AI applications. The ideal candidate will have deep expertise in Agentic AI frameworks and hands-on experience in building scalable, real-world AI solutions. Key Responsibilities: Design and develop knowledge bases tailored for Agentic AI solutions. Implement optimal ingestion mechanisms aligned with semantic search and Retrieval-Augmented Generation (RAG) goals using vector databases. Apply prompt engineering techniques and utilize prompt libraries to enhance agent performance. Orchestrate multi-agent systems using MCP protocol and related frameworks. Collaborate with cross-functional teams to integrate ML Ops best practices including feature stores, feedback loops, and continuous model improvement. Work closely with stakeholders to align AI capabilities with business use cases and outcomes. Required Skills & Experience: Overall Experience (5+ years) Proven experience in building knowledge bases for Agentic AI systems. Strong understanding of vector databases (e.g., FAISS, Pinecone, Weaviate) and semantic search strategies. Expertise in prompt engineering and familiarity with prompt libraries (e.g., LangChain, Guidance). Hands-on experience with MCP protocol and agent orchestration frameworks. Solid background in ML Ops including feature store management, feedback loop design, and deployment pipelines. Familiarity with Snowflake and a preference for leveraging Cortex AI modules. Flexibility in technology stack with a strong foundation in Agentic AI principles and implementation. Preferred Qualifications: Experience with Snowflake Cortex AI modules. Exposure to Azure AI Foundry (optional). Background in data platform modernization projects

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Responsibilities

The role involves designing and developing knowledge bases for Agentic AI solutions and implementing ingestion mechanisms aligned with semantic search goals. Additionally, the engineer will collaborate with cross-functional teams to integrate ML Ops best practices and align AI capabilities with business outcomes.