All roles 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) Apply for this role 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