Technical Lead Ai/ml

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

Job summary

Tata Consultancy Services Limited in Santa Clara, CA, seeks a Technical Lead to drive enterprise AI and cloud transformation, shaping solution architecture and engaging with clients to translate business challenges into scalable AI solutions.

You will design AI-powered applications leveraging Vertex AI, Gemini APIs, and Google Cloud, building robust, production-grade systems with governance and security in mind.

Qualifications

• 10+ years of software engineering experience with system design and scalable architecture.
• 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.

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

Skills

Software engineering

System design

Python

APIs

Microservices

Cloud-native

GCP

Vertex AI

Gemini APIs

AI/ML platforms

LLMs

RAG

Agentic AI

Kubernetes

DevOps

CI/CD

Data engineering

Vector databases

Knowledge retrieval

AI governance

Tools

Kubernetes

Containerization

CI/CD

Vector databases

Knowledge retrieval systems

AI governance

Job description

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

Location

Santa Clara, CA

Function

TECHNOLOGY

Role

Technical Lead

ID

430363

Skills

Artificial Intelligence | Machine Learning

Salary Range

$130,000 - $150,000