Ai Architect

Tata Consultancy Services; Addison (TX); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage

Dental & Vision

Disability Insurance

Pet Insurance

Commuter Benefits

Certification & Training Reimbursement

Job summary

Tata Consultancy Services Limited is seeking a seasoned AI/solutions architect to design and scale enterprise-grade Document AI platforms for the financial services industry. You will lead architecture for document classification, data extraction, and RAG solutions, and build GenAI pipelines for large-scale processing.

You will also collaborate with infrastructure teams to deploy on GPU clusters, drive governance and risk frameworks, and deliver executive-level diagrams and documentation for

Qualifications

• 8+ years of software/solution architecture experience, including 3+ years in AI/ML or Generative AI.
• Hands-on experience with LLMs, embeddings, and vector search technologies (OpenAI, Hugging Face, Llama, Elasticsearch).
• Strong Python development skills, including FastAPI and LangChain.
• Experience with GPU optimization, cloud-native deployments, and MLOps practices.
• Excellent communication and presentation skills, including presenting to executive leadership.
• Master's degree in Computer Science, Data Science, or a related technical discipline.
• Experience collaborating with diverse business and technology stakeholders across multiple Lines of Business.
• Highly motivated self-starter with strong ownership and ability to execute independently.
• Strong critical thinking and problem-solving capabilities.
• Ability to navigate enterprise data assets across multiple functions.
• Highly organized with the ability to manage multiple priorities in a fast-paced environment.
• Strong analytical and customer-focused mindset.

Responsibilities

• Design and scale enterprise-grade Document AI platforms for the financial services industry.
• Lead architecture for document classification, data extraction, and Retrieval-Augmented Generation (RAG) solutions.
• Architect GenAI solutions for large-scale document processing, extraction, and question-answering.
• Build and optimize RAG pipelines using embeddings, vector databases, rerankers, and LLMs.
• Partner with infrastructure teams to deploy AI solutions on GPU clusters using technologies such as vLLM and Triton.
• Drive model risk management, explainability, auditability, and evaluation frameworks.
• Create architecture diagrams, technical documentation, and executive-level presentations.
• Collaborate closely with engineering, product, and compliance teams to deliver secure, scalable AI solutions.

Skills

Data science

GenAI architecture

Architecture

Python programming

Communication

Education

Master's degree in Computer Science/Data Science

Job description

Primary Skill: Data science, architecture, genAI architecture

Secondary: Python, communication

Experience: 10+ years

Required Experience & Technical Skills

• 8+ years of software/solution architecture experience, including 3+ years in AI/ML or Generative AI.
• Hands‑on experience with LLMs, embeddings, and vector search technologies (OpenAI, Hugging Face, Llama, Elasticsearch).
• Strong Python development skills, including FastAPI and LangChain.
• Experience with GPU optimization, cloud‑native deployments, and MLOps practices.
• Excellent communication and presentation skills, including presenting to executive leadership.

Education & Professional Attributes

• Master's degree in Computer Science, Data Science, or a related technical discipline.
• Experience collaborating with diverse business and technology stakeholders across multiple Lines of Business.
• Highly motivated self‑starter with strong ownership and ability to execute independently.
• Strong critical thinking and problem‑solving capabilities.
• Ability to navigate enterprise data assets across multiple functions.
• Highly organized with the ability to manage multiple priorities in a fast‑paced environment.
• Strong analytical and customer‑focused mindset.

Key Responsibilities

• Design and scale enterprise‑grade Document AI platforms for the financial services industry.
• Lead architecture for document classification, data extraction, and Retrieval‑Augmented Generation (RAG) solutions.
• Architect GenAI solutions for large‑scale document processing, extraction, and question‑answering.
• Build and optimize RAG pipelines using embeddings, vector databases, rerankers, and LLMs.
• Partner with infrastructure teams to deploy AI solutions on GPU clusters using technologies such as vLLM and Triton.
• Drive model risk management, explainability, auditability, and evaluation frameworks.
• Create architecture diagrams, technical documentation, and executive‑level presentations.
• Collaborate closely with engineering, product, and compliance teams to deliver secure, scalable AI solutions.

TCS Employee Benefits Summary:

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $100,000 - $125,000 a year