Ai Ml Infra Systems Engineer Jobs

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team, responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey. In this role, you will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise. The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives — designing and building them into AI-enabled, transformative solutions. This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment. Key Responsibilities Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery. Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development. Partner with

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. In your role as a Staff / Principal Wafer Bonding Process Engineer within Micron Technology's DRAM Technology Development group, you will join a worldwide memory development organization. You will contribute to developing modern wafer bonding process technology that keeps Micron at the forefront of memory technology. This position is important because it directly affects product quality, reliability, yield, cost savings, efficiency, and risk control. You will initiate, develop, and fine-tune bonding processes while addressing manufacturing line challenges. You will also manage process, equipment, and material evaluations and improvements to apply changes at various process steps. Your duties include leading and engaging in activities to improve yield and reduce costs, overseeing new process baseline qualifications, and collaborating with suppliers to achieve quality, cost, and risk objectives. You will use AI/ML/LLM tools to boost efficiency and maintain flawless operations. Responsibilities include, but not limited to: Develop and optimize wafer bonding processes to enable next-generation DRAM technologies. Plan and execute experiments (DOEs) to improve process performance, product quality, and reliability. Drive yield improvement, cost reduction, and productivity initiatives using data-driven problem solving. Evaluate and qualify new equipment, materials, and process technologies for development and manufacturing. Collaborate with manufacturing, suppliers, and cross-

Integration meets Innovation At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world. Celigo is looking for a Data Engineer to contribute to the development, scaling, and maintenance of our Snowflake-based data ecosystem. You will implement and deliver scalable ELT pipelines, production-grade data models, and the observability frameworks that keep them reliable — translating business requirements into well-documented, high-performance data solutions that power analytics, BI, and ML across the organization. Partnering closely with Analytics, Product, and Engineering, you will help enforce data quality standards, align with governance practices, and continuously optimize for cost efficiency and data freshness. You'll bring strong Snowflake experience, a modern dbt-native development mindset, and a fluency with AI-assisted tooling to accelerate your own velocity and collaborate effectively with the team around you. What would you do if hired? Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and modern tooling. Implement data models — including dimensional, data vault, and medallion/lakehouse patterns — to support analytics, BI, and ML use cases. Collaborate in Architectural discussion and decision making with team Collaborate with Analytics, Product, and Engineering teams to translate business requirements into reliable, well-documented data solutions. Establish and enforce data quality standards, automated validations, and observability frameworks to ensure high reliability across all pipelines. Contribute to data governance practices, including documentation, data lineage, access control, and complia

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: The Director of Finance Systems Engineering is a technology and engineering leader responsible for delivering and evolving systems that enable critical Finance capabilities. Reporting to a Senior Director in IT, this role will lead teams responsible for enterprise planning and forecasting platforms, custom-built Finance solutions, and SaaS applications that complement the core SAP ERP ecosystem. The Director will lead a multidisciplinary team that includes planning model builders, systems analysts/product owners/TPMs, and software engineering professionals. This leader will partner closely with Finance to translate business priorities and transformation objectives into scalable technology solutions that simplify processes, improve decision making, and enable greater use of data, automation, AI, and machine learning. A key responsibility of the role is strengthening the team’s ability to connect Finance domain expertise with specialized data and machine learning capabilities, enabling Finance to translate its AI and ML objectives into scalable solutions. The successful candidate will combine strong engineering and people leadership with Finance domain knowledge and experience across enterprise planning platforms, custom software development, SaaS sol

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Senior Product Manager for AI and Automation PagerDuty is redefining how modern engineering and operations teams work. PagerDuty’s Automation Platform includes Workflows, Actions, Connectors, and a growing agentic layer built on Skills and Tools. This is the backbone of how teams eliminate toil, respond to incidents autonomously, and ultimately enable AI-native SRE agents. As Senior Product Manager for AI and Automation, you will own product strategy and execution across our Operations Cloud SaaS and on-premises automation products and lead the roadmap for the agentic automation experience we’re building for autonomous SRE agents. This is a high-visibility, high impact role that sits at the intersection of developer tooling, enterprise operations, and frontier AI product design. You will report directly to the Senior Director of Product Management for the AI & Automation group and will partner tightly with engineering, design, GTM, and enterprise customers. Key Responsibilities Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-p

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Senior Product Manager for AI and Automation PagerDuty is redefining how modern engineering and operations teams work. PagerDuty’s Automation Platform includes Workflows, Actions, Connectors, and a growing agentic layer built on Skills and Tools. This is the backbone of how teams eliminate toil, respond to incidents autonomously, and ultimately enable AI-native SRE agents. As Senior Product Manager for AI and Automation, you will own product strategy and execution across our Operations Cloud SaaS and on-premises automation products and lead the roadmap for the agentic automation experience we’re building for autonomous SRE agents. This is a high-visibility, high impact role that sits at the intersection of developer tooling, enterprise operations, and frontier AI product design. You will report directly to the Senior Director of Product Management for the AI & Automation group and will partner tightly with engineering, design, GTM, and enterprise customers. Key Responsibilities Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-p

About the Role Datadog’s Technology Partnerships team builds and scales partnerships with the technology companies that matter most to our customers from AI/ML platforms to data platform providers. As a Technology Partner Manager, you will own the full, 360-degree relationship with a portfolio of strategic Technology Partners, with a particular focus on cutting-edge AI/ML and Data Platform companies. You’ll be the connective tissue across three pillars of partnership: co-build (joint product and integration roadmaps), co-market (joint awareness and demand generation), and co-sell (joint pipeline and revenue). This is a highly cross-functional, relationship-driven role that requires equal comfort in a product roadmap discussion, a marketing planning session, and a sales enablement meeting. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do 360° Relationship Ownership: Own the end-to-end partner relationship for a portfolio of AI/ML and Data Platform technology partners, serving as the primary point of contact and trusted advisor across product, engineering, marketing, and sales stakeholders on both sides. Co-Build: Partner closely with Datadog Product and Engineering teams to identify, prioritize, and drive joint integration roadmaps; ensure integrations are built, launched, and continuously improved to meet customer needs. Co-Market: Design and execute joint marketing programs including webinars, blog posts, customer case studies, launch campaigns, and event collaboration with Datadog product marketing and partner marketing teams to build awareness and demand for joint solutions. Co-Sell: Build and execute go-to-market and co-sell plans with Datadog channel team, partner field and sales teams; enable Datadog’s global sales organization and partner sellers o

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 ! The Heterogeneous Integration Group (HIG) is a division within the Technology and Products Group (TPG). We are dedicated to developing and optimizing High Bandwidth Memory (HBM) solutions for AI and ML applications. Using Through Silicon Via (TSV) technology, we stack multiple DRAM chips with a high-speed interface die, significantly increasing memory density and bandwidth for next-generation AI/ML accelerators and high-performance computing platforms. Our designs target the industry's lowest power-per-bit and highest bandwidth, enabling the most demanding compute workloads. We are seeking a SI/PI Engineer in HBM Build Architecture to develop high-quality SI/PI analysis for interposers, packages, and silicon channels. This work contributes directly to HBM build sign-off and product success. You will be involved in complex, multi-disciplinary SI/PI initiatives spanning multiple HBM product generations — from early interposer channel analysis and equalization co-design, PDN architecture, and system PI analysis. You will ensure Micron's HBM SI/PI architecture remains the industry benchmark for signal quality, power delivery integrity, and interface reliability. This role supports the design and deployment of AI-enabled solutions that improv

About the role: As a Senior Product Manager, Clinician Experience you can expect to ship into production at major health systems, work at the AI frontier with real clinical constraints, and operate cross-functionally with engineering, ML, clinical, design, and partner-facing teams. What you will do: Clinician Experience You'll own the products clinicians use to review, act on, and trust what our AI produces: the tools that surface AI-gathered patient context, support clinical decision-making, and fit into workflows that are already overloaded. The clinician-facing product surface: intake summaries, AI-generated patient context, review/override workflows, and documentation support tooling The end-to-end encounter workflow, from AI-gathered context through clinical decision to documentation. Trust and explainability mechanics — how the AI surfaces its reasoning and how clinicians correct or override it Reduction of clinical workload: minutes saved per encounter, clicks removed, documentation burden reduced Work directly with practicing physicians (internal and health system partners) to validate that designed workflows reflect real clinical behavior Partner with clinical leadership on safety review and escalation protocol Engineering and AI/ML teams to translate clinical trust requirements into verifiable, implementable product behavior What we’re looking for: 4+ years of product management experience shipping consumer or B2B2C software; at least one product you owned end-to-end from ambiguity to launch Experience with AI/ML-powered products — you understand non-determinism, know why evals matter, and can reason about model behavior as a product surface Strong analytical fluency: you can pull your own data, define your own metrics, and won't wait for an analyst to tell you what's happening Exceptional written communication — your docs create alignment instead of requiring meetings to explain them Comfort operating in regulated, high-stakes environments Client-facing e

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks,

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks, w

P-926 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking multiple senior engineers to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 5+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that red

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, building the world’s greatest data, applications, and AI/ML platform. Our ‘get it done’ culture empowers everyone at Snowflake to innovate, create work with lasting impact, and thrive in a collaborative environment. Snowflake product marketers conceive of and execute go-to-market plans that drive awareness, adoption, and drive success for our customers. We are looking for a Sr. Product Marketing Manager to orchestrate go-to-market execution for the Media, Entertainment and Advertising (MEA) industries, scaling global programs, amplifying regional priorities, and ensuring our message resonates with Media leaders across industries. This is a highly cross-functional role, working closely with Account teams, Field Marketing, Technical Sales, Industry specialists, and PMMs to align strategy with execution. The successful candidate will thrive on program orchestration, enablement at scale, and surfacing regional insights to shape global direction. What You’ll Do Co-own and align marketing strategy for the MEA personas, ensuring plans reflect customer insights and empower the field to execute with impact. Develop and execute “big bets” by identifying opportunities for net-new integrated campaigns and targeted sales plays that accelera

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, building the world’s greatest data, applications and AI/ML platform. Our get it done culture empowers everyone at Snowflake to innovate, create work with lasting impact, and thrive in a collaborative environment. Snowflake EMEA product marketers conceive of and execute go-to-market plans that drive awareness, adoption and drive success for our customers. We are looking for a Product Marketing Manager to build messaging and positioning around Data and AI Sovereignty in EMEA, execute targeted go-to-market strategy for the Public Sector, scale our impact through Snowflake’s partner ecosystem, and maintain momentum behind key regional sovereignty partnerships. This is a highly cross-functional role, working closely with Account Teams, Field Marketing, Technical Sales, ABM, Partner Marketing, Demand Generation, and Global Product Marketing to align strategy with execution. The successful candidate will thrive on GTM orchestration, partner co-marketing, field enablement, and navigating complex regulatory and public sector buying landscapes. This role is based out of Snowflake’s London office. What You’ll Do Own and align messaging and positioning for Data and AI Sovereignty in the EMEA region, ensuring Snowflake’s narrative addresses

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. Within the larger SI R&D group, as a Principal Signal Integrity Engineer at Micron, you will be responsible for: Leading the development and analysis of high speed (HS or similar expertise) memory interfaces and power distribution networks (PDN) . Applying AI/ML and data-driven techniques to accelerate Signal Integrity / Power Integrity analysis, build optimization , and engineering decision-making. Applying automation, scripting, and AI-assisted engineering workflows to improve simulation efficiency and coverage. Representing the Signal Integrity R&D team in technical cross-functional collaborative groups , integrating with package build, silicon develop, system invent, product engineering, and marketing departments to ensure overall product performance. Driving and developing SI/PI aspects of future standards (including but not limited to JEDEC, ONFI, and IBIS) through system and product electrical capability exploration. Supporting external customers as needed. Formulating techniques and protocols for SI/PI analysis. Supporting and driving path-finding activities for IO and channel innovation to enable the next generation of memory technologies at higher speeds and densities. Minimum Qualifications PhD or MSEE, or equivalent experience, with at least 5 years of industry experience. Deep experience in Signal and Power Integrity, particularly in areas affecting I/O circui