In this role, you will drive the strategic and technical direction of AI engineering across multiple product lines, shaping how advanced AI capabilities power user-facing automation experiences. You will lead high-impact engineering teams, guiding experimentation, architecture decisions, and end-to-end delivery of AI-driven solutions. Working closely with product, design, and go-to-market teams, you will help define the roadmap, unify core AI initiatives, and turn bold ideas into scalable outcomes.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Drive the development and deployment of advanced AI models and systems that power Abacus products.
Oversee software development teams (30+ engineers) across multiple product lines, guiding architecture decisions and coding standards.
Lead critical projects in AI and data engineering, ensuring roadmap delivery and maintaining high quality standards.
Abacus Insights aims to unlock the power of data, enabling health plans to deliver the right care at the right time. Backed by $100M, they foster a bold, curious, and collaborative environment where innovation starts with people working together to make an impact.
Lead a cross-functional AI product engineering team, owning strategy and execution across multiple Copilot experiences
Drive technical direction and product evolution for the AI stack, inference backend, user-facing AI products
Interface closely with the AI Research and Model Training team to align on model capabilities, evaluation methodology, data/training pipelines, and the productionization path for new models and techniques
Cribl is a data engine for IT and Security. Many big names in demanding industries trust Cribl to solve their pressing data needs; they are growing rapidly and collaborative, with curious and motivated team members who are passionate about putting customers first.
Lead the design, development, and deployment of AI/ML models.
Build and maintain production-grade ML pipelines and model monitoring.
Mentor and develop junior AI engineers, laying the foundation for AI best practices.
Payabli enables any software company to become a payments company through its payment infrastructure and monetization platform to boost enterprise value.
The AI Architect will drive Magna’s AI vision from concept to commercialization. You will design and implement AI systems and lead development teams. You will also partner with executives to identify opportunities, drive adoption, and deliver measurable value.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation.
Drive the development of intelligent, user-facing features using AI and LLMs.
Collaborate with product, design, and engineering teams to deliver AI-powered experiences.
Integrate multiple LLMs and AI models to deliver context-aware and personalized user experiences.
At ClickUp, they are not just building software, they're architecting the future of work with a converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search.
Spearhead Sonar's efforts in building partnerships with leading Foundation Model / Large Language Model (LLM) developers.
Establish collaborations that build on cutting-edge AI model development and Sonar's unique IP to create innovative solutions for developers.
Lead the end-to-end partnership lifecycle with LLM providers, define engagement models, negotiate agreements focused on licensing, and drive deals to closure.
Sonar helps prevent code quality and code security issues from reaching production and improves the developer experience with streamlined workflows.
Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
Translate product requirements into robust, production-ready AI solutions, working with Product Managers, Software Engineers, and Data Scientists.
Optimize models and infrastructure for scalability, latency, and cost efficiency, partnering with DevOps and MLOps to ensure reliable and maintainable AI pipelines.
Paper is reimagining how schools support students so that every learner can reach their full potential.
Architect and implement scalable AI platform services for LLMs and other AI models.
Apply LLMs and AI technologies to build and enhance intelligent product features.
Develop robust APIs and backend systems for seamless integration of AI-powered features.
ClickUp is creating the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.
Lead and mentor a team of AI engineers, providing coaching and performance feedback. Oversee the delivery of AI-powered product features, from prototypes to scalable production systems. Collaborate with Product, Design, and Data teams to ensure AI solutions are impactful and aligned with business goals.
Hostinger is shaping the future of online success powered by AI and driven by people, providing tools that help individuals and small businesses succeed online faster and easier.
Define and drive multi-team product and AI strategy.
Stay at the forefront of AI capabilities.
Lead cross-functional initiatives with measurable business and customer impact.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Lead and evolve VAI, the intelligence layer that powers our AI-driven experiences.
Translate high-level direction into clear, buildable scopes and own the execution end-to-end.
Write detailed requirements and collaborate with engineering to break work down and keep momentum high.
Vanilla is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Lead a cross-functional team of ML engineers, data scientists, and MLOps professionals.
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises.
Architect, build, and deploy LLM-powered applications that augment and automate key workflows.
Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.
Develop AI-driven tools that create measurable business impact — improving efficiency, accelerating innovation, and driving revenue growth.
Sierra Studio connects talented Brazilian professionals with exciting career opportunities in a highly-vetted small community of growing companies in the US. They specialize in enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust with over 250 people.