Job Title: AI / Data Science Lead
Location: Bangalore/Mysore/Mangalore/BBSR
Work Mode:- Hybrid( 3 Days Office)
Position:- 1
Experience:- 8+ years
Going
About The Role
We are looking for a highly skilled
AI / Data Science Lead to drive the design, development, and deployment of advanced AI solutions, with a strong focus on
RAG-based systems, Agentic AI, and AI-driven automation. This role requires a blend of technical leadership, hands-on implementation, and strategic thinking to build scalable, enterprise-grade AI solutions.
Key Responsibilities
Technical Leadership
- Lead the design and implementation of RAG (Retrieval-Augmented Generation) architectures and Agentic AI systems.
- Architect end-to-end AI solutions including data pipelines, vector databases, embeddings, and LLM integrations.
- Define best practices for prompt engineering, model evaluation, and observability.
- Guide and mentor a team of data scientists, AI engineers, and ML engineers.
Solution Development
- Build and optimize AI agents capable of decision-making, tool use, and multi-step reasoning.
- Develop intelligent assistants, knowledge bots, and workflow automation using LLMs.
- Implement vector search, semantic retrieval, and knowledge graph-based systems.
- Work with structured and unstructured data sources (documents, logs, PDFs, APIs, etc.).
Stakeholder Collaboration
- Partner with business teams to translate use cases into AI solutions.
- Present AI strategy, architecture, and roadmaps to leadership.
- Collaborate with product, engineering, and cloud teams to integrate AI into production systems.
MLOps & Governance
- Define AI governance, security, and compliance frameworks.
- Establish monitoring, drift detection, and evaluation mechanisms for AI systems.
- Implement CI/CD pipelines for AI models and agents.
Experience
Required Skills & Experience
- 8+ years in IT / Data Science / AI / ML roles
- Proven experience in building production-grade AI solutions
- Hands-on experience with RAG-based systems and Agentic AI
Technical Skills
- Programming: Python (mandatory), SQL
- LLMs & Frameworks:
- OpenAI / Azure OpenAI / Anthropic / Google Gemini
- LangChain, LlamaIndex, AutoGen, or similar frameworks
- Vector Databases: Pinecone, FAISS, Weaviate, or Chroma
- Data & ML:
- NLP, embeddings, semantic search
- Machine Learning basics
- Cloud Platforms: AWS, Azure, or GCP
- MLOps Tools: MLflow, Docker, Kubernetes, CI/CD
Agentic AI Experience
- Building autonomous AI agents
- Tool-calling agents (APIs, databases, automation tools)
- Multi-step reasoning and workflow orchestration
- Memory, context management, and planning in AI systems
Preferred Qualifications
- Graduate or Master's degree in Data Science, AI, Computer Science, or related field
- Experience in enterprise AI implementations
- Exposure to SAP, ERP, or business process automation (nice to have)
- Experience with Knowledge Graphs or Graph Databases
