Senior AI Architect: RAG Systems & LLM Platforms

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

401K plan

Certification & training reimbursement

Time off & holidays

Job summary

Tata Consultancy Services in Miami seeks an experienced AI/ML/enterprise-architecture leader with 10–15 years in the field to architect RAG systems, vector search, and LLM-based knowledge platforms.

You will work hands-on with Python, LangChain/LlamaIndex, embedding techniques, Azure Cloud, vector databases like Pinecone, and containerized deployments (Docker/K8s), delivering secure, scalable data pipelines for financial services applications.

Qualifications

• 10–15 years in AI, ML, or enterprise architecture roles.
• Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms.
• Strong hands-on experience with Python, LangChain / LlamaIndex or similar orchestration frameworks.
• Fine tuning and embeddings; document chunking, knowledge graphs, vectorization.
• APIs and event-driven systems; containerization (Docker/K8s); security-by-design.
• Experience in financial services, preferably CRE credit, servicing, or asset management.

Skills

AI/ML experience

RAG systems

Vector search

LLM platforms

Python

LangChain / LlamaIndex

Fine tuning

Embeddings

Document AI

NLP

APIs

Event-driven systems

Docker/K8s

Security-by-design

Financial services (CRE credit/serv.)

Education

Bachelor of Computer Science

Tools

Azure Cloud

Pinecone

DB Vector

Job description

Tata Consultancy Services in Miami seeks an experienced AI/ML/enterprise-architecture leader with 10–15 years in the field to architect RAG systems, vector search, and LLM-based knowledge platforms.

You will work hands-on with Python, LangChain/LlamaIndex, embedding techniques, Azure Cloud, vector databases like Pinecone, and containerized deployments (Docker/K8s), delivering secure, scalable data pipelines for financial services applications.