Senior AI Architect: RAG, Vector & LLM Platform Lead

Tata Consultancy Services; Miami (FL); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Leave

Insurance Options (Auto & Home)

Job summary

Tata Consultancy Services seeks a senior AI/ML architect to lead design and delivery of RAG-based knowledge systems in a financial services context. You will build scalable architectures, integrate vector databases, and orchestrate with LangChain/LlamaIndex, python tooling, and cloud ML platforms.

Strong background in document AI, NLP, and unstructured data processing is required, along with hands‑on experience in API design, event‑driven patterns, and security‑by‑design principles.

Qualifications

• 10–15 years in AI, ML, or enterprise architecture roles.
• Proven track record architecting RAG systems, vector search, and LLM‑based knowledge platforms.
• Hands-on Python development experience.
• Experience with LangChain / LlamaIndex or similar orchestration frameworks.
• Fine tuning & embeddings expertise.
• Familiar with document chunking, knowledge graphs, and vectorization.
• Document AI, NLP, and unstructured data processing expertise.
• Architectural skills across APIs and event‑driven systems, containerization (Docker/K8s).
• Security-by-design approach and experience in financial services (CRE credit, servicing, or asset management).

Skills

AI/ML/Enterprise architecture

RAG systems

Vector search

LLM-based knowledge platforms

Python

LangChain / LlamaIndex

Fine tuning

Embeddings

Document chunking

Knowledge graphs

Vectorization

Document AI

NLP

Unstructured data processing

APIs

Event-driven systems

Docker

Kubernetes

Security-by-design

Financial services domain knowledge

Education

Bachelor of Computer Science

Tools

Azure Cloud ML

Pinecone

DB Vector

LangChain

LlamaIndex

Job description

Tata Consultancy Services seeks a senior AI/ML architect to lead design and delivery of RAG-based knowledge systems in a financial services context. You will build scalable architectures, integrate vector databases, and orchestrate with LangChain/LlamaIndex, python tooling, and cloud ML platforms.

Strong background in document AI, NLP, and unstructured data processing is required, along with hands‑on experience in API design, event‑driven patterns, and security‑by‑design principles.