Technical Lead AI/ML

Tata Consultancy Services Limited; Santa Clara (CA); On-site; USD 130,000 - 150,000; Full time

Job summary

Tata Consultancy Services in Santa Clara, CA is seeking a senior AI and cloud solution architect to lead enterprise AI initiatives and design scalable architectures. You will guide multi-disciplinary teams and translate business challenges into AI-powered solutions.

The role emphasizes AI/ML platforms, LLMs, RAG, Gemini/Vertex AI, Kubernetes, and production-grade applications, with heavy customer-facing engagements and executive stakeholder communications.

Qualifications

• 10+ years of software engineering experience with system design expertise.
• Extensive Python, APIs, microservices, and cloud-native app development.
• 4+ years of hands-on GCP experience including Vertex AI and Gemini APIs.
• Experience delivering enterprise AI solutions using LLMs, RAG, and multi-agent systems.
• Proven ability in customer-facing solution architecture and executive engagements.
• Experience building AI accelerators, reusable frameworks, PoCs, and production-grade AI apps.
• Strong cloud architecture, Kubernetes, containerization, DevOps, and CI/CD skills.
• Data engineering focus with vector databases, knowledge retrieval, and AI governance.

Responsibilities

• Lead the solution architecture and technical strategy for enterprise AI and cloud transformation.
• Translate business challenges into scalable AI solutions with stakeholders.
• Design AI-powered apps leveraging Gemini, Vertex AI, and Google Cloud services.
• Build AI architectures involving RAG, Agentic AI, multimodal AI, and integrations.
• Conduct discovery sessions, PoCs, and customer demonstrations.
• Mentor teams and establish best practices for AI engineering and cloud-native development.
• Collaborate with product, engineering, sales, and partners to drive adoption.
• Define technical roadmaps, governance standards, and operational models for scale.
• Stay current with emerging AI technologies and apply to customer scenarios.

Skills

System design

Scalable architecture

Python

APIs

Microservices

Cloud-native apps

Google Cloud Platform

Vertex AI

Gemini APIs

Agent Builder

AI/ML platforms

LLMs

RAG

Multi-agent systems

Agentic AI

Solution architecture

Technical consulting

Executive stakeholder engagement

AI accelerators

PoCs

Production-grade AI

Cloud architecture

Kubernetes

Containerization

DevOps

CI/CD

Platform engineering

Data engineering

Vector databases

Knowledge retrieval systems

AI governance

Tools

Kubernetes

Docker

CI/CD tooling

Job description

Job Description

• Must have 10+ years of software engineering experience with strong expertise in system design
  

Must Have Technical/Functional Skills

• Must have 10+ years of software engineering experience with strong expertise in system design
  

and scalable architecture.

• Must have extensive experience in Python, APIs, microservices, and cloud-native application development.
• Must have 4+ years of hands-on experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs, Agent Builder,
  

and AI/ML platforms.

• Must have experience designing and delivering enterprise AI solutions using LLMs, RAG,
  

multi-agent systems, and Agentic AI frameworks.

• Must have experience leading customer-facing solution architecture, technical consulting,
  

and executive stakeholder engagements.

• Must have experience building AI accelerators, reusable frameworks, PoCs, and production-grade AI applications.
• Must have expertise in cloud architecture, Kubernetes, containerization, DevOps, CI/CD,
  

and platform engineering.

• Must have strong experience in data engineering, vector databases, knowledge retrieval systems,
  

and AI governance.

Roles & Responsibilities

• Lead the solution architecture and technical strategy for enterprise AI and cloud transformation initiatives.
• Engage with customers and business stakeholders to translate business challenges into scalable AI solutions.
• Design and oversee the development of AI-powered applications leveraging Gemini, Vertex AI, and Google Cloud services.
• Build and drive complex AI architectures involving RAG, Agentic AI, multimodal AI, and enterprise integrations.
• Lead technical discovery sessions, workshops, PoCs, and customer demonstrations.
• Mentor engineering teams and establish best practices for AI engineering and cloud-native development.
• Collaborate with product, engineering, sales, and partner teams to accelerate AI adoption and business outcomes.
• Define technical roadmaps, governance standards, and operational models for enterprise-scale AI deployments.
• Stay current with emerging AI technologies and apply them to customer scenarios
  

Salary Range: $130,000-$150,000 a year