Sr. Applied Intelligence Architect

Lam Research Salzburg GmbH; Fremont (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Lam Research in Fremont, CA, is seeking a Senior Applied Intelligence Architect to shape how Lam selects, adapts, and deploys intelligent systems across products and operations.

You will transform cutting-edge AI research into practical capabilities, ensuring models are composable, governed, and cost-efficient, with strong focus on enterprise knowledge and security.

Join a team that builds shared AI platforms and governance patterns to accelerate semiconductor solutions.

Responsibilities

• Own Lam’s applied intelligence architecture and roadmap across frontier, daily-driver, commercial, open-weight, fine-tuned, specialized, and physics or simulation-based models.
• Translate requirements into deployable intelligence solutions (model selection, routing, retrieval).
• Design model-agnostic interfaces and abstraction layers to reduce vendor lock-in.
• Define evaluation systems for grounded correctness, performance, reliability, safety, latency, and cost.
• Create patterns for fine-tuning, LoRA/adapters, distillation, synthetic data, prompting, caching, and inference optimization.
• Architect closed-loop learning systems to improve models, software, and workflows over time.
• Embed governance by design with identity, scope, provenance, auditability, and oversight.
• Connect intelligence with enterprise knowledge, software tools, APIs, simulation, and digital twins.

Job description

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date: Aug 13, 2026

Location: Fremont, CA, US, 94538

Worker Category: On-site Flex

The group you’ll be a part of

The Enterprise AI team within Lam’s Office of the CTO helps the company apply machine intelligence responsibly across enterprise operations, engineering workflows, software and controls, and product experiences. The team develops shared AI platforms, intelligence architecture, knowledge and ontology services, developer capabilities, evaluation, governance, and adoption patterns so Lam teams can create secure, reusable AI solutions that improve as model capabilities advance.

The impact you’ll make

As Senior Applied Intelligence Architect, you will establish how Lam selects, adapts, evaluates, routes, integrates, and governs commercial, open-weight, fine-tuned, specialized, and physics-informed intelligence. You will convert rapidly advancing AI research into deployed capabilities that produce measurable business, engineering, and product outcomes.

You will help ensure models remain replaceable, capabilities are composable and machine-consumable, actions are governed, and production outcomes strengthen future intelligence cycles. Your work will help Lam preserve technology choice, reduce vendor dependency, control cost, and build solutions that gain value as machine intelligence advances.

What you’ll do

• Own Lam’s applied intelligence architecture and implementation roadmap across frontier, daily-driver, commercial, open-weight, fine-tuned, specialized, and physics or simulation-based models.
• Translate business and technical requirements into deployable intelligence solutions, including model selection and routing, context and retrieval, tool use, agent workflows, memory, integration, inference, and deployment patterns.
• Design model-agnostic interfaces, reusable contracts, and abstraction layers that allow platforms and products to adopt stronger intelligence without major redesign or unnecessary vendor lock-in.
• Define qualification and evaluation systems that measure grounded correctness, domain performance, reliability, safety, latency, throughput, cost, compute efficiency, reproducibility, and business outcomes.
• Create reusable patterns for fine-tuning, LoRA and adapters, distillation, synthetic data, prompt and context engineering, caching, quantization, inference optimization, and open-weight deployment.
• Architect closed-loop learning systems that capture outcomes, failures, feedback, evidence, and operational signals to improve models, software, hardware requirements, and workflows over time.
• Embed governance by design through identity and scope, authority boundaries, evidence and provenance, auditability, human oversight, secure data handling, and reversible machine actions.
• Connect intelligence with enterprise knowledge, software tools, APIs, simulation, optimization, digital twins, and domain workflows through secure, typed, machine-consumable services.