Artificial Intelligence (AI) Architect
Reports To: CFO
Company Overview:
Netlist, Inc. (OTCQB: NLST) is a leading provider of high-performance modular memory subsystems and next-generation storage-class memory solutions. We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and enterprise infrastructure. Our product portfolio includes DDR4/DDR5 DIMMs, NAND-based SSDs, and advanced interconnect technologies such as CXL and PCIe.
Join our world-class engineering team and be part of shaping the future of memory and storage architecture.
Position Summary:
This Artificial Intelligence (AI) role will lead the development and execution of the company's AI strategy, driving innovation across AI-enabled products, infrastructure, and business operations. This role will oversee the identification, design, and implementation of machine learning, generative AI, advanced analytics, and AI infrastructure initiatives that support both current and future business objectives.
The ideal candidate combines deep technical expertise in AI/ML with strong business acumen and executive leadership skills. This individual will work closely with engineering, product management, marketing, and executive leadership to identify opportunities where AI can create competitive advantage and accelerate growth.
Essential Responsibilities
- Develop and execute the company's AI vision, strategy, and roadmap.
- Identify new AI-based products, services, and revenue opportunities.
- Lead AI and machine learning initiatives from concept through deployment.
- Build and manage high-performing teams of AI engineers, data scientists, and software developers.
- Evaluate emerging AI technologies, tools, and platforms.
- Collaborate with engineering teams to integrate AI capabilities into products and systems.
- Partner with executive leadership to align AI investments with business objectives.
- Establish AI governance, security, privacy, and ethical-use standards.
- Drive innovation in generative AI, predictive analytics, automation, and intelligent systems.
- Define KPIs and measure the business impact of AI initiatives.
- Manage external partnerships with AI vendors, research institutions, and technology providers.
- Present AI strategies, business cases, and project outcomes to executive leadership and the Board as required.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
- 10+ years of progressive experience in software engineering, machine learning, data science, or artificial intelligence.
- 5+ years of leadership experience managing technical teams.
- Experience building and deploying AI solutions at enterprise scale.
- Strong knowledge of machine learning, deep learning, LLMs, generative AI, and AI infrastructure.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Proficiency with Python and modern AI frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies.
- Strong communication and executive presentation skills.
- Proven ability to translate business requirements into AI-driven solutions.
Preferred Qualifications
- Master's degree or Ph.D. in Computer Science, Engineering, or related discipline.
- Experience in the semiconductor, memory, storage, cloud infrastructure, or data center industries.
- Experience with AI hardware acceleration, inference optimization, or large-scale distributed systems.
- Track record of developing AI products from concept to commercial deployment.
Range: $220,000 - $280,000 Base Salary
