Position: AI Application Engineer / Lead
Location: Santa Clara, CA (5 days onsite)
Interviews we can schedule for Non Locals also ,who is ready to relocate
Requirements:
5–8 yrs SWE; 3+ yrs AI/ML; 1–2 yrs GenAI
Build enterprise-grade AI applications that improve engineering, R&D, manufacturing, and knowledge management workflows.
Accelerate adoption of Agentic AI across Applied Materials.
Establish reusable AI platform components and frameworks.
Reduce development effort through AI-assisted workflows and reusable services.
Deploy production AI applications used by multiple business units.
Deliver measurable productivity improvements.
Create reusable RAG, agent, and orchestration frameworks.
Improve knowledge discovery and decision support across engineering teams.
Design and build AI-powered applications using LLMs and foundation models.
Develop RAG solutions leveraging enterprise knowledge sources.
Build multi-agent systems for complex workflows.
Agentic AI
Design planning, reasoning, tool-calling, and workflow orchestration systems.
Build autonomous and human-in-the-loop agent architectures.
Develop domain-specific AI copilots.
Primary
Microsoft Azure / AWS
Security, Compliance & Data Classification
Mandatory
Understanding of enterprise security controls.
Experience handling Internal and Confidential data.
Secure API design.
RBAC and identity management.
Preferred
Responsible AI implementation.
Data governance frameworks.
Model monitoring and auditability.
PII protection and redaction.
AI risk assessment and guardrails.
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