{"id":4203471,"url":"https://alion.io/job/netlist-artificial-intelligence-architect-ai","title":"Artificial Intelligence Architect (AI)","company":{"id":691714,"name":"Netlist","domain":"netlist.com","url":"https://alion.io/company/netlist","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":220000,"max":280000,"currency":"USD","period":"year","gross":null,"usd_annual":280000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-12T16:13:30Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T23:00:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Artificial Intelligence (AI) Architect\nReports To: CFO\nCompany Overview:\nNetlist, 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.\nJoin our world-class engineering team and be part of shaping the future of memory and storage architecture.\nPosition Summary:\nThis 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.\nThe 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.\nEssential Responsibilities\nDevelop and execute the company's AI vision, strategy, and roadmap.\nIdentify new AI-based products, services, and revenue opportunities.\nLead AI and machine learning initiatives from concept through deployment.\nBuild and manage high-performing teams of AI engineers, data scientists, and software developers.\nEvaluate emerging AI technologies, tools, and platforms.\nCollaborate with engineering teams to integrate AI capabilities into products and systems.\nPartner with executive leadership to align AI investments with business objectives.\nEstablish AI governance, security, privacy, and ethical-use standards.\nDrive innovation in generative AI, predictive analytics, automation, and intelligent systems.\nDefine KPIs and measure the business impact of AI initiatives.\nManage external partnerships with AI vendors, research institutions, and technology providers.\nPresent AI strategies, business cases, and project outcomes to executive leadership and the Board as required.\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.\n10+ years of progressive experience in software engineering, machine learning, data science, or artificial intelligence.\n5+ years of leadership experience managing technical teams.\nExperience building and deploying AI solutions at enterprise scale.\nStrong knowledge of machine learning, deep learning, LLMs, generative AI, and AI infrastructure.\nExperience with cloud platforms such as Azure, AWS, or Google Cloud.\nProficiency with Python and modern AI frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies.\nStrong communication and executive presentation skills.\nProven ability to translate business requirements into AI-driven solutions.\nPreferred Qualifications\nMaster's degree or Ph.D. in Computer Science, Engineering, or related discipline.\nExperience in the semiconductor, memory, storage, cloud infrastructure, or data center industries.\nExperience with AI hardware acceleration, inference optimization, or large-scale distributed systems.\nTrack record of developing AI products from concept to commercial deployment.\nRange: $220,000 - 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