Application Program Lead, Enterprise AI

As a Software Application Engineer at Lam, you ll be at the forefront of driving innovation and adoption of our software products. You ll support fast product evolution through agile processes by analyzing, designing, programming, testing, debugging, and enhancing software applications. With your expertise and initiative, you ll turn ideas into great products that support advancements in Lam s semiconductor technology.

In this role, you will have a significant impact on the innovation and efficiency of Lams products and services. By developing enterprise grade software applications, you will enable data-driven decision making, optimize workflows, enhance user experience, and improve quality and performance of Lams hardware and processes.

• Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical field.
  8+ years of experience in enterprise software application development, architecture, or solution delivery.
  4+ years of experience leading large-scale application development programs or enterprise solution initiatives.
  Proven experience designing and delivering enterprise applications on Azure, AWS, or GCP cloud platforms.
  Strong hands-on expertise in one or more technologies such as .NET, Angular, Python, or similar enterprise application frameworks.
  Experience integrating applications, APIs, automation solutions, and enterprise data platforms.
  Strong stakeholder management, communication, and technical documentation skills.

• Experience designing and implementing AI-enabled solutions leveraging Generative AI, OpenAI, GPT technologies, or enterprise AI platforms.
  Knowledge of Microsoft Fabric, Lakehouse architectures, Data Lakes, and modern analytics ecosystems.
  Experience with DevOps tools, CI/CD pipelines, Docker, Kubernetes, Azure DevOps, Git, and Jira.
  Exposure to Microsoft Power Platform, RPA platforms, or intelligent automation solutions.
  Experience supporting semiconductor, manufacturing, supply chain, operations, or quality business functions.
  Understanding of enterprise integration patterns, security frameworks, OAuth, REST APIs, JSON, and modern architecture design principles

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. On-site Flex you ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.