Ai Runtime Engineer Jobs

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The AI Build team is a new, industry-focused team dedicated to building with the world’s leading and fastest-scaling AI companies. We work alongside Stripe’s AI Solutions Architecture and GTM teams, and across Stripe’s product suite to help customers adopt emerging products, close interoperability and 0→1 solution gaps, and bring field learning directly into Stripe’s product roadmap. The team owns strategic proof-of-concept engagements across the pre- and post-sales lifecycle, complementing Stripe’s AI account teams and the product depth of Stripe’s specialist teams. What you'll do As a Solutions Engineer on the AI Build team, you’ll work directly with frontier AI companies on the payments, billing, and monetization infrastructure underlying their core businesses. You’ll own complex proof-of-concept engagements on Stripe’s frontier products, from initial scoping through activation and handoff, combining customer discovery, solution design, rapid prototyping, and cross-functional leadership. You won’t simply implement a finished product: you’ll build with customers, identify where Stripe’s products or integrations need to evolve, and help customers feel as though they are inside our product roadmap. Responsibilities Own strategic POCs end to end: Sell, scope, and lead proof-of-concept engagements from initial customer commitment through activation. Build with customers: Work deeply with users’ engineers and technical leaders

About Us At BGBx , we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges. Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle. The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day. If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx. Position Overview We are looking for an AI Engineer with 3-5 years of experience to help maintain and evolve our fleet of AI agents, LLM-as-a-judge systems, and other AI-powered tools used by healthcare, life sciences, and marketing teams. This role will work closely with senior engineers on graph design and with product and research teams to define what “a good answer” means, including grounding, coverage, and citation honesty. The AI Engineer will contribute to the continued development of these systems by improving tools, retrieval and citations, agent architecture, and overall system speed, cost, and accuracy. They will also support evaluations and experiments that help us understand and improve system performance. We are looking for someone with strong Python skills and a solid understanding of LLM systems who is excited to continue growing their technical depth. At this level, the engineer should be comfortable owning a component of a production service from design through testing and review, while partnering with more senior engineers on b

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Manager of the EMEA Digital Natives Applied AI Architecture team, you'll drive adoption of frontier AI across Europe's fastest-growing technology companies: SaaS scale-ups, fintechs, marketplaces, consumer platforms, and developer-tooling businesses. Your team makes Anthropic's products (Claude Enterprise, Claude Code, and the Claude API) successful in production. They address each customer's business needs and technical requirements, and they meet the high bar for reliability and safety that these companies' own users expect. You'll lead and grow a team of Applied AI Architects across EMEA. You'll set the pre-sales standards for the segment, develop each person on the team, and act as a technical lead on some of Anthropic's most strategic European accounts. You'll work closely with Sales, Product, and Engineering to help digital-native companies build Claude into their core products and platforms. You'll also explain complex solutions clearly to both engineers and executives. Responsibilities Manage and mentor a distributed team of Applied AI Architects, providing technical guidance and career development Set goals and run performance reviews that drive growth and output Work directly with a small number of the highest-value EMEA digital-native customers on their AI adoption strategy, including: use case scoping building technical champions running POCs Partner with EMEA GTM leadership to understand customer requirements and co-build segment strategy Own the technical side of pre-sales, making sure your team delivers compelling demos and validates customer ROI Guide customers through EMEA-specific technical and proc

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an instructor, you will be responsible for the delivery of our technical content across our AI for Business Value and AI-Powered Productivity Programmes. You’ll support our apprentices in growing their understanding of how AI can solve business problems through workshops and drop in sessions. You will help apprentices develop knowledge relating to the appropriate KSBs throughout their programme. The Multiverse delivery team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development. To ensure a strong start, you will complete a 3-week onboarding programme, covering: Modern teaching methodologies - for a hands-on, engaging learning experience Technical upskilling - to align with the relevant apprenticeship standard Practical coaching opportunities - a rigorous, robust feedback process to get you ready to launch your

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: Search Engine Optimization (SEO) Engineer 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Summary We are looking for a Technical SEO Specialist with strong expertise in modern SEO , technical optimization , and Generative Engine Optimization (GEO) / AI Searc h to strengthen our online visibility and organic growth. The role will be responsible for improving website technical performance , search engine rankings , content discoverability , and visibility across AI-powered search platforms such as Google AI Overviews and other generative search engines. The ideal candidate combines strong technical SEO knowledge with an understanding of how search algorithms and AI-driven search experiences are evolving. Requirements Is a plus if proficiency in English or other foreign languages (written preferable) is required to conduct localized keyword research, content optimization , and competitor analysis in the target markets in United States, Australia or Euro countries ( United Kingdom, Italy, Turkey, France, Germany, Spain, Netherlands, Belgium, Sweden, Portugal and so on) Experience managing overseas SEO projects and optimizing websites for Western Markets is highly preferred. Keywords for this post include Content Gap Analysis, Competitor Analysis, Organic Traffic, Ranking Positions, Domain Authority, Conversion Rate Manage

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, AI & Data Governance – Data Stewardship & Governance Enablement Overview Mastercard’s Enterprise Data Governance team is seeking a Director, AI & Data Governance to enable data governance across the enterprise through a federated stewardship model. As an established subject matter expert, this self-starter will lead data stewardship within selected business teams and data domains, help refine the Enterprise Data Governance framework, and provide strategic input to enable adherence to data governance policies and standards. The ideal candidate has hands-on experience standing up and scaling data stewardship programs, turning policy and standards into practical, repeatable processes, and influencing stakeholders at all levels to adopt them. This role will report to a Director, AI & Data Governance. Role • Lead and facilitate data stewardship networks, providing guidance, coaching, and escalation support while fostering a culture of collaboration and accountability. • Support stewardship teams by writing and maintaining business glossary terms, critical data elements, classification and transformation logic in the data catalog, translating technical logic into plain language for non-technical stakeholders. • Drive awareness and adoption of data and AI management practices

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Analyst, AI & Data Governance – Governance Enablement & Readiness Overview Mastercard’s Enterprise Data Governance team is seeking a Senior Analyst, AI & Data Governance to help enable data governance across the enterprise through a federated stewardship model. This self-starter will operationalize and assess governance readiness & maturity within business teams and data domains, help refine and mature the Enterprise Data Governance framework, and support data stewardship within business teams and data domains. The ideal candidate has a strong understanding of data governance and data management practices and can turn policies and standards into practical, repeatable activities that business teams and data domains can adopt. This role will report to a Director, AI & Data Governance. Role • Assess data governance readiness & maturity of business teams and data domains, including collecting and reviewing evidence, tracking metrics & KPIs, identifying gaps, and following remediation through closure. • Prepare data governance readiness & maturity reporting for leadership, highlighting trends, risks, and recommended actions. • Partner with Risk, Compliance, Privacy, and Internal Audit to support control testing, risk assessments, and audits with documentati

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 The Executive Director, Software Engineering – AI Solutions will lead the design, development, and delivery of AI-powered software products and platforms that drive the Health100 strategy. Reporting to the VP of Engineering, this leader will be responsible for building and scaling a high-performing software engineering organization focused on leveraging Generative AI and agentic technologies to solve complex healthcare and business challenges. This role serves as the senior engineering leader responsible for translating business opportunities into production-grade software solutions. The Executive Director will define technical strategy, lead multiple engineering teams, establish engineering excellence practices, and partner closely with Product, Security, and Business stakeholders to deliver innovative AI-enabled applications at enterprise scale. The ideal candidate combines deep software engineering leadership experience with a strong understanding of modern AI technologies and a proven ability to build and scale engineering organizations that deliver measurable business outcomes. Key Responsibilities Lead software engineering teams responsible for the design, development, deployment, and support of AI-powered applications and platforms. Establish engineering best practices, software development standards, architecture governance, and operational excellence.

NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering innovative products. Together, we will build life-changing AI chips and chiplets for the rapidly growing AI infrastructure market. If you have knowledge of computer architecture, microarchitecture, and chip design, and are looking to learn and grow, this is the opportunity you are looking for. What you'll be doing: Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines and identify areas for improvement. Study the applications and models running on Nvidia hardware and their architectural implications Come up with microarchitectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues. Understand and help drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products. Work with software, firmware, platform and multi-functional teams on system architecture. Model, analyze, and explain

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Se

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundar

AI Engineer - ASR: PraDigi, a Pratham Initiative About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham reaches approximately 7.5 million children annually across 23 Indian states and union territories and an additional 1 million across 31 countries.. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the Anytime Testing Model (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in Hindi and eight Indian languages; and a suite of LLM-powered chatbots designed for diverse learning contexts: from BaalSakhi for early childhood care, to a skilling interview bot for youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital publ

Opportunity Overview: We are seeking a Senior AI Engineer to join our Engineering team. In this role, you'll design retrieval architectures, build AI-powered agents, and own production deployments that serve health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale - from hands-on code to HIPAA-compliant systems that directly improve healthcare outcomes. This is an opportunity to work at the intersection of cutting-edge AI and real-world impact, in a fast-paced, collaborative environment. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Agent Development: Participate in the development, evaluation, and deployment of Cohere’s AI-powered agents and applications. Data & Retrieval Architecture: Design data and retrieval architectures that give AI agents the right context, across diverse healthcare sources. Hands-On Engineering: Design, review, and own high-quality agentic code — leading releases, production deployments and on-call support. Cross-Functional Collaboration: Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. Security & Compliance: Ensure all agentic components comply with healthcare security and privacy regulations (e.g., HIPAA) and adhere to industry best practices for security. Agile Development: Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities. What you’ll need: 5+ years of experience in the software development lifecycle, with demonstrated experience working with popular agent frameworks and language models. Expertise in one

Senior Engineering Manager – AI CoE About Redwood Redwood Software helps the world's largest enterprises automate mission-critical business processes. Our platforms support complex enterprise workloads across ERP systems, business applications, cloud infrastructure, and on-premises environments. Redwood is building reusable AI infrastructure, agentic capabilities, developer tools, and platform services that enable enterprise-ready AI features across its product portfolio. Role Mission As a Senior Engineering Manager, you will lead the engineering team responsible for delivering Redwood's shared AI platform and agentic capabilities. You will translate the AI strategy into an executable engineering roadmap, build a high-performing team, and ensure the delivery of secure, scalable, observable, and commercially valuable AI systems. The role requires sufficient technical depth to guide architecture and challenge engineering decisions while remaining accountable for people's leadership, execution, team health, and delivery outcomes. Key Responsibilities Lead one or more engineering teams responsible for AI platform services, agentic capabilities, developer tools, and product integrations. Translate business and product priorities into a clear engineering roadmap, delivery plan, and team-level objectives. Recruit, onboard, manage, and retain engineers with the skills required to build production-grade AI and agentic systems. Establish clear ownership, performance expectations, decision-making responsibilities, and development plans across the team. Drive predictable execution through effective planning, dependency management, risk identification, and operational readiness. Partner with senior individual contributors to guide architecture and technical direction without becoming a bottleneck for engineering decisions. Ensure consistent engineering practices across AI evaluation, observability, model gover

The IT Sr Function Group Manager manages multiple teams of senior professionals through other senior managers. The job requires a broad and comprehensive understanding of the different systems, theories and practices relevant to a function as well as practical experience of multiple business cycles. In-depth knowledge of the industry and direct competitors' products/services is also necessary in order to contribute to the commercial objectives of the business. Requires thorough understanding of strategic direction of the function within the business, combined with a solid conceptual/practical grounding in both the function and/ or area of expertise. Excellent communication skills required in order to influence a wide range of audiences. The job is likely to be involved in both internal and external negotiations which will have a major impact on the area managed, and possibly on other related areas and organization as a whole. Develops medium- to long-term plans and executes functional strategies for a large/complex country, cluster of countries, or business requiring coordination and integration across units. Provides input into strategic decisions affecting job family or function within a region or business.Full management responsibility of multiple teams, including management of people, budget and planning. Has authority to negotiate and make independent decisions on issues/activities that have critical impact or influence on company revenues, capital or business operations. Typically, a direct report to an EB role and sits on the highest functional leadership team within a region,, or global business. Responsibilities: Ensures managed areas are defining and implementing systems that are aligned with business strategy and goals. Involved in a wide range of diverse activities that require strategic vision and analysis. Applies a broad and comprehensive understanding in multiple functional areas and their underlying