Data Scientist / AI Architect (Agentic AI & LLM Focus
Role details
Job location
Tech stack
Job description
We are engaging a hands-on Data Scientist / AI Architect to design and deliver agent-based, AI-enabled workflows integrated with enterprise systems. The role requires close collaboration with internal teams and business stakeholders to translate use cases into scalable, production-grade solutions., * Work closely with business stakeholders to:
o Translate business use cases into technical designs and acceptance criteria
o Communicate trade-offs across quality, cost, risk, and delivery timelines
Good to Have
Data Engineering for Retrieval-Based Systems
- Design and manage retrieval pipelines to support grounding and context enrichment, including:
o Vector databases and similarity search
o Search and indexing systems
o Storage solutions for source data and embeddings
o Caching strategies for performance and scalability
Cloud-Native Delivery (AWS Preferred)
- Deploy and manage AI/ML solutions on cloud platforms, with focus on:
o IAM and security best practices
o Scalability, resilience, and availability
o CI/CD pipelines and environment management
Integration & UX Enablement
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Integrate AI solutions with enterprise tools via secure APIs and gateways
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Collaborate with front-end teams (e.g., React) to enable seamless user experiences
Observability & Operations
- Implement monitoring across workflows, including:
o Logging, metrics, and tracing for agent pipelines and model calls
Requirements
Hands-on experience in AI/LLM solution design and implementation
Strong understanding of AI/ML/LLM libraries used in projects
Experience with LLM fine-tuning (critical requirement)
Experience in RAG (Retrieval-Augmented Generation) architectures