Principal Ai And Automation Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are part of Micron’s HBM Design Architecture organization, where we push the limits of memory technology every day. Our team works across global, multicultural engineering groups to build next-generation HBM solutions that power AI and machine learning. We believe the best ideas come from collaboration, curiosity, and a shared drive to innovate! This role plays a critical part in ensuring the reliability of Micron’s most advanced DRAM and HBM products. As an ESD & Latch Up Engineer, you will shape protection strategies from early design through high-volume manufacturing, working hands-on with silicon, layout, and foundry partners. If you enjoy solving deep technical problems and influencing product robustness at scale, this role offers both impact and growth. This role supports the design and deployment of AI-enabled solutions that improve efficiency and decision-making. Responsibilities: Define and own chip-level and IP-level ESD and latch up strategies for HBM DRAM, base die, I/O, TSVs, and die-to-die interfaces Establish ESD and latch up requirements, targets, and sign-off criteria aligned with JEDEC/ESDA standards Enable ESD protection circuits and latch up safe layout practices across designs and technologies Lead silicon validation, failure analysis, and correlation of pre-silicon assumptions to silicon results Act as the technical interface to

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Our Tensix Team is building the future of AI compute with a ground-up architecture centered on scalable RISC-V processors. As we push performance boundaries, we’re reimagining the frontend of our RISC-V cores to deliver major gains in programmability, efficiency, and developer experience. This is a rare opportunity to shape the CPU architecture at the heart of our AI platform and lead one of the most strategic technical efforts at Tenstorrent. This role is hybrid, based out of Toronto, ON, Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experienced Microarchitect: 10+ years of deep expertise in CPU performance modeling and microarchitecture design. AI Workload Expert: Deeply familiar with the computational and memory bottlenecks of modern AI workloads, particularly Large Language Models (LLMs). Hardware-Software Co-Designer: Driven to architect custom instruction set extensions and validate their performance gains against real-world workloads. Ways to stand-out: Familiarity with open-source RISC-V cores, AI-based agentic workflow experience What We Need Profile & Analyze: Dissect cutting-edge AI workloads to identi

MKTQ427R49 We're looking for a content lead who sits at the intersection of brand content storytelling and AI-era discoverability. You will own the creation of high-quality and high-volume brand content, ensuring that content is structured, distributed, and measured to win visibility across AI answer engines. You will produce and edit compelling content and employ optimization strategies to make sure LLMs discover, parse, and cite it. You will identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers, map those gaps against business objectives, target audiences, and product priorities, and orchestrate a mix of AI agents, technical writers, and internal teams to close them. A core part of this orchestration is overseeing a system of AI agents that create, optimize, and evaluate content — a task that requires real editorial expertise applied to prompt design and agent engineering, not just tool adoption. You will be responsible for building and maintaining the brand context, target prompts, and writing guidelines that guide agents and internal SMEs to create on-brand, accurate, and authoritative content. A major part of the role is editorial judgment: this includes reviewing drafts from agents and adjusting prompts and inputs to improve output quality. The impact you will have: Within 12–24 months in this role, success looks like: The content roadmap is driven by evidence. You've stood up ongoing GEO/AI answer analysis, and every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent — requiring gap-analysis skills and fluency with GEO/AI-visibility diagnostics. Business priorities and content output are in lockstep. The roadmap (blogs, video, web pages, thought leadership) is visibly built from business objectives, audience search intent, and product priorities, and stakeholders can trace any piece of content back to a prompt that justified it — requiring sharp prioritization judg

Traditional engineering roles hand you a task and ask you to implement it. This one hands you a problem and a fleet of AI agents and asks you to ship the solution. The Product Engineer / Builder is a Staff/Principal level individual contributor role , for someone who takes a defined problem and owns the solution end to end. You understand the customer and the problem, then design, build, and ship working software, using AI agents as your primary means of turning direction into product. You combine deep engineering craft with genuine product instinct, and act as a force multiplier rather than a single pair of hands. How You’ll Work Given a problem to solve, you shape the approach and use AI to bring it to life by directing several AI agents in parallel and rigorously reviewing what they produce. An idea sketched in the morning can be a functional prototype by lunch and a working product by the end of the week . You think like a product manager, care like a designer, and build like an engineer. This is not a role for someone who waits to be told exactly what to type. You bring taste and judgment to every decision. It’s your responsibility to know what to build, what not to build, and to prove — through evals, testing, and review — that AI-generated work is reliable enough to ship. You measure success in customer and business outcomes, not tasks completed. Build on What Works, Invent Where It Counts Build rapidly by composing solutions from the best available tools, whether internal or external, and apply your own innovation where it matters most. That means drawing on proven platforms, components, services, and models instead of building everything from scratch, then adding original thinking where there are gaps to close, experiences to elevate, or clear opportunities to differentiate. You know when to leverage what already works, when to extend it, and wh

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience . Deep understanding

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory comp

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This is the most senior individual-contributor architecture role at Sapience AI. You own how the whole system fits together: how the KO graph, the COGENT architecture, the models, the serving layer, and the product surface combine into one coherent, scalable, trustworthy platform. You work across every part of the stack, setting the architectural direction that lets specialized teams build fast without the system pulling apart at the seams. You are a force multiplier: not the owner of one area, but the person who makes sure all the areas add up to a platform that can carry Sapience AI’s ambitions for years. Why this role exists Collective intelligence spans hard subsystems: knowledge, reasoning, models, serving, and experience. Each can be strong on its own and still fail as a whole if the architecture does not hold together. As the platform and the team grow, the cost of architectural drift compounds. Someone has to own the coherence of the system, the big technical bets, and the seams between teams. The Principal AI Systems Architect owns that. You set cross-cutting direction, make the hard architectural calls, and keep MINERVA and COGENT coherent, scalable, and trus

Job Requisition ID # 26WD97978 Position Overview The DFA Applied AI team at Autodesk builds intelligent, AI-powered solutions that enable users to discover, access, manage, and collaborate on design and manufacturing data through natural language and intuitive user experiences. Our work combines LLM-powered agents, scalable backend services, and reusable UI components to deliver seamless, connected workflows across Autodesk products and data sources. Responsibilities Lead the architecture, design, and delivery of full-stack AI-powered solutions, from backend agent services to React/TypeScript user experiences. Design and develop LLM-powered agents, including tool calling, orchestration, streaming responses, and multi-turn conversational workflows. Build scalable backend services, APIs, and integrations that enable secure access to design and manufacturing data. Develop reusable React/TypeScript components and intuitive user experiences for AI-powered and data access workflows. Drive technical decisions across agent architecture, LLM integration, backend services, and cloud infrastructure. Ensure production readiness through robust testing, security, performance, reliability, and observability. Mentor engineers, establish engineering best practices, and own features from design through production. Minimum Qualifications 10+ years of software engineering experience building and delivering large-scale production systems. Hands-on experience with LLM application patterns, including tool use, streaming responses, multi-turn conversations, and context/session ma

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, wh

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Principal Product Marketing Manager – Zero Trust for Agentic AI to join our team. This is as remote-eligible role for candidates located in the Pacific time zone, reporting to the VP, Product Marketing – AI Security in the Marketing department. AI agents are no longer a concept — they are in production today, acting autonomously, accessing sensitive systems, and making decisions on behalf of the organizations that built them. The security industry has barely begun to catch up. As the Principal PMM for Zero Trust for Agentic AI, you will help define how enterprises think about this problem — and why Zscaler is uniquely positioned to solve it. You will build the vocabulary, the narratives, and the go-to-market foundation for one of the most consequential emerging security challenges of our time. This role is for someone energized by ambiguity, obsessed with getting ahead of the curve, and bold enough

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position As a Senior or Principal Data Scientist on the EHR AI team at Formation Bio, you will build the models that let us learn from real-world data (RWD): electronic health records (EHR) together with claims and other real-world sources. You will work hands-on with longitudinal EHR and claims data to predict how disease progresses, how patients respond to treatment, and which approved drugs change the course of disease. The data spans large-scale, longitudinal EHR from health systems, linked to claims, clinical notes, and imaging, alongside biobank-scale

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About The Role We are looking for a customer-obsessed and hands-on experienced Product Manager to lead the strategy, development, and optimization of our AI and agent products. In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both. You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact. What You'll Be Doing Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities Lead the end-to-end product development lifecycle, from conception through launch, including writing PRDs, technical specifications, and business requirements Develop and track success metrics, conduct data analysis to measure product performance and identify areas for improvement Collaborate with UX teams to ensure optimal user experience across various Alexa-enabled devices and surfaces

We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research. What you'll be doing: Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems. Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency. Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities. Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities. Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement. Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy. Support NVIDIA participation in major AI, ML, and systems research venues through technical content,

Principal Consultant – Semantic Data & AI Engineering Capco | Data & Analytics | New York, NY About the Role Capco is seeking a hands-on Principal Consultant to design and build semantic data solutions that make enterprise data usable by artificial intelligence, machine learning, analytics, and business applications. This role is designed for a versatile technical leader who can move across knowledge-graph engineering, AI solution development, data modeling, and data-pipeline delivery. The successful candidate will help clients connect structured and unstructured information, create machine-understandable representations of business knowledge, and provide trusted context for AI applications. You will work across multiple project roles depending on client needs—serving as a semantic architect, knowledge-graph engineer, AI engineer, data engineer, technical lead, or client advisor. This is not a research-only or ontology-only position. The role requires someone who can translate business requirements into practical solutions and contribute directly to architecture, code, data pipelines, testing, and production delivery. What You’ll Do Design and implement enterprise knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products. Translate business concepts, policies, documents, data models, and subject-matter expertise into governed, machine-readable knowledge models. Build semantic data pipelines that acquire, transform, map, validate, enrich, and load data from databases, APIs, files, documents, events, and cloud platforms. Integrate knowledge graphs with AI and machine-learning solutions, including generative AI, retrieval-augmented generation, GraphRAG, semantic search, and intelligent agents. Support NLP and document-intelligence use cases such as entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction. Combine graph traversal, vector search, metadata, rules

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About our Team: Micron’s Industrial and Physical AI team is driving the transformation of semiconductor manufacturing through Autonomous Operations, AI, robotics, and digital twin technologies! We develop and deploy innovative solutions across Micron’s global fabrication and assembly/test facilities, enabling smarter, safer, and more efficient operations at scale. Position Overview: We are seeking a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications that support Micron's Autonomous Operations initiatives. This role owns the end-to-end development lifecycle, from data pipelines and AI models to APIs, web applications, digital twin integrations, and cloud/edge deployments, delivering impactful solutions for engineers, operators, and business leaders worldwide. Responsibilities: Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training/inference, APIs, user interfaces, and application monitoring. Build and maintain modern front-end applications using React, Angular, or Streamlit, supported by backend services in Python and Fast