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AI Expert- AI Application Lead

Prospance Inc.Santa Clara, CA🇺🇸United StatesPosted 19 Aug 2026

Why This Role Stands Out

As an AI Application Lead at Prospance Inc., you will spearhead the development of cutting-edge enterprise AI applications, driving significant productivity improvements and innovation across various business units. This role offers immense growth potential in a reputable company for experienced AI/ML engineers with a passion for building impactful solutions and a desire to shape the future of AI adoption. Embrace this opportunity to contribute to groundbreaking work and advance your career in a dynamic on-site environment.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

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.  

Skills

AWS
Azure
Compliance
Risk Assessment

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