Hexaware Jobs in California (NOW HIRING)

What Working at Hexaware offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles.

At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

The Hexaware Advantage: Your Workplace Benefits
Health benefits with low-cost employee premium.
Range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage training and upskilling opportunities through Udemy and Hexavarsity

Role: AI Application Engineer / Lead
Location: Santa Clara, CA - Onsite

Job description:
Role Requirements & Hiring Criteria
1. Business Objectives & Expected Outcomes
Business Objectives
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.
Expected Outcomes
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.
2. Detailed Job Description & Key Responsibilities
AI Application Development
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.
AI Engineering
Fine-tune, evaluate, and optimize models.
Implement prompt engineering and evaluation frameworks.
Build API services for AI model consumption.
Leadership
Lead technical solution design.
Mentor junior engineers.
Drive AI engineering best practices.
Partner with R&D, product, and business stakeholders.

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