Senior AI Architect for RAG Systems & Knowledge Platforms

Tata Consultancy Services Limited; Miami (FL); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive medical coverage (health

Dental & Vision

Disability planning & insurance

Pet insurance plans

Commuter benefits

Certification & training reimbursement

Vacation, time off & holidays

401K plan

Performance bonus

College fund / student loan refinacing

Job summary

Tata Consultancy Services Limited in Miami seeks a senior AI/ML architect to lead RAG systems and knowledge platforms. You will shape data-driven solutions, architect scalable pipelines, and guide cross-functional teams across AI and software engineering domains.

With 10–15 years in the field, you will implement APIs, event-driven architectures, and secure, containerized deployments using Docker and Kubernetes, while leveraging NLP, vectorization, and knowledge graphs to deliver enterprise-grade

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 experience with Python, LangChain / LlamaIndex or similar orchestration frameworks, fine tuning and embeddings.
• Experience with document chunking, knowledge graphs, and vectorization.
• Expertise in document AI, NLP, and unstructured data processing.
• Strong architectural skills across APIs, event-driven systems, and containerization (Docker/K8s); security-by-design.
• Experience in financial services, preferably in commercial real estate credit, servicing, or asset management.

Skills

Python

LangChain / LlamaIndex

Fine tuning & embeddings

APIs and event-driven systems

Security-by-design

NLP / document AI

Knowledge graphs

Tools

Docker

Kubernetes

LangChain

LlamaIndex

Job description

Tata Consultancy Services Limited in Miami seeks a senior AI/ML architect to lead RAG systems and knowledge platforms. You will shape data-driven solutions, architect scalable pipelines, and guide cross-functional teams across AI and software engineering domains.

With 10–15 years in the field, you will implement APIs, event-driven architectures, and secure, containerized deployments using Docker and Kubernetes, while leveraging NLP, vectorization, and knowledge graphs to deliver enterprise-grade