Lead Artificial Intelligence Engineer

Applied Materials India Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Applied Materials seeks a Lead AI Engineer to design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions that support engineering co-pilots and knowledge assistants.

You will fine-tune and optimize foundation models, build embedding pipelines and vector search systems, evaluate model performance and business impact, and deliver production quality AI services using Python, FastAPI, LangGraph, LangChain, Semantic Kernel, while collaborating with

Qualifications

• BS/MS in Computer Science, AI/ML, Data Science, or Software Engineering required.
• 3+ years of AI/ML experience and 5–10 years software engineering experience.
• Strong expertise in Python, PyTorch, Transformers, LLMs, and vector databases; production AI systems experience.

Responsibilities

• Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions.
• Fine-tune and optimize foundation models, build embedding pipelines, vector search systems, and agent orchestration frameworks.
• Evaluate model performance, hallucination rates, and business impact.
• Develop production quality systems using Python, FastAPI, LangGraph, LangChain, and Semantic Kernel, and build APIs and reusable AI services.
• Integrate AI solutions with On-Prem, Databricks, Azure AI Foundry, and AWS.
• Mentor junior engineers, drive architecture reviews, establish engineering best practices, and collaborate with product and business stakeholders.

Skills

Python

PyTorch

Transformers

LLMs

Vector databases

Education

BS in Computer Science

MS in AI/ML

Data Science degree

Tools

LangGraph

Azure AI Foundry

Databricks

Job description

Lead AI Engineer Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

Location: Bangalore,IND You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .

Key Responsibilities

Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions, and build scalable AI services supporting engineering co-pilots and knowledge assistants. Fine-tune and optimize foundation models, and build embedding pipelines, vector search systems, and agent orchestration frameworks. Evaluate model performance, hallucination rates, and business impact. Develop production quality systems using Python, FastAPI, LangGraph, LangChain, and Semantic Kernel, and build APIs and reusable AI services. Integrate AI solutions with On-Prem, Databricks, Azure AI Foundry, and AWS. Mentor junior engineers, drive architecture reviews, establish engineering best practices, and collaborate with product and business stakeholders.

Functional Knowledge

Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Business Expertise

Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Leadership

May lead functional teams or projects with moderate resource requirements, risk, and/or complexity

Problem Solving

Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Impact

Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies

Interpersonal Skills

Communicates difficult concepts and negotiates with others to adopt a different point of view

Required Qualifications

BS/MS in Computer Science, AI/ML, Data Science, or Software Engineering 5 to 10 years of software engineering experience 3 or more years of AI/ML experience Strong expertise in Python, PyTorch, Transformers, LLMs, and vector databases Experience building production AI systems

Preferred Qualifications

Experience with Agentic AI, Multimodal AI, and AI Observability Hands-on experience with LangGraph and Azure AI Foundry Semiconductor domain knowledge

Additional Information

Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. Experience Level Senior Level