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AI / Research·Bangalore, IN

- BHIVE Workspace, AKR Tech Park (Kudlu Gate)
- Full-time
- Hybrid·8+ years (4+ in AI/ML architecture)

AI Architect

Senior

Shape the AI architecture behind autonomous data mastering — from explainable matching engines and GenAI scoring to the in-product copilot that resolves 95% of user questions at scale.

LLM System DesignEntity ResolutionRAGMLOpsMDM / Data Mastering

Team

AI / Research

Location

Bangalore, IN

- BHIVE Workspace, AKR Tech Park (Kudlu Gate)

Experience 8+ years (4+ in AI/ML architecture)

Tech stack

- LangChain
- LlamaIndex
- OpenAI
- Anthropic
- Gemini
- Open-weight models
- Pinecone
- Weaviate
- pgvector
- Spark
- Databricks
- Snowflake
- Python
- TypeScript
- Node.js
- AWS (EKS
- MSK
- S3
- Glue)

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What you’ll do

- 01 Own the end-to-end AI/ML architecture for the matching, stewardship and enrichment engines
- 02 Define LLM orchestration strategy: RAG, agents, tool-use, fine-tuning and evaluation harnesses
- 03 Architect explainable entity-resolution pipelines that operate on 10M+ records / day with sub-second latency
- 04 Design embedding, blocking and reranking strategies for high-recall + high-precision matching on noisy enterprise feeds
- 05 Lead vendor and model selection across OpenAI, Anthropic, Gemini and open-weight models
- 06 Design AI copilots embedded in the steward and admin workflows — clarifying queries, suggesting rules and explaining match scores
- 07 Establish evaluation,



drift detection and AI-safety standards (hallucination rate, factual accuracy, calibration)
- 08 Partner with Data Engineering on contracts for streaming + batch ingestion across CRMs, ERPs, PIMs and third-party data feeds
- 09 Produce Architecture Decision Records and lead technical reviews across engineering pods
- 10 Mentor senior ICs and align the AI roadmap with product and customer-success stakeholders

What we’re looking for
- → 8+ years in software / ML engineering with 4+ years in AI architecture roles
- → Hands-on experience designing LLM systems — RAG, fine-tuning, multi-agent orchestration, structured outputs
- → Deep grasp of entity resolution, blocking, similarity learning and explainable scoring
- → Proven track record designing AI systems running at production scale (10M+ events / day)
- → Robust system-design skills: distributed systems, event-driven architecture, async processing, fault tolerance
- → Proficient in Python; comfort with TypeScript/Node.js for orchestration and API layers
- → Experience with vector databases (Pinecone, Weaviate, pgvector) and semantic search
- → Excellent written communication — comfortable producing ADRs and technical narratives

Nice to have
- - Experience in MDM / CDP / entity-resolution products at scale

- - Familiarity with Salesforce, Databricks, AWS Marketplace integration patterns

- - Open-source contributions or published research

📌 AI Architect · Senior (Anekal)
🏢 Think Right Advisory Services
📍 Anekal