Senior AI Engineer Jobs

Cresta

The QM & Coaching Team at Cresta is seeking a Senior Fullstack Engineer to play a key role in building and scaling the no-code platform that powers Cresta’s processing capabilities. This platform empowers non-technical users to configure conversation workflows and apply automation without writing code. You will work across the stack—from building intuitive UIs to robust backend services—enabling customers to unlock value from conversations quickly and flexibly. You’ll partner with designers, product managers, and AI/ML teams to turn complex requirements into delightful and performant product experiences, and help shape the future of our no-code architecture.

Salary not listed

As a Senior Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to build and deploy AI-powered solutions. You will own projects end-to-end, from scoping ambiguous problems and prototyping AI workflows to deploying scalable systems. This hybrid role combines AI engineering, software development, and technical consulting, offering a hands-on experience with models and their impact.

$180k - $264k

OpenAI

We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams.

Salary not listed

Asana

We are seeking a Staff Software Engineer to focus on data querying and access control. This role is critical as it sits at the intersection of data retrieval and security, ensuring that every data read in Asana is both accurate and fast. You will be instrumental in maintaining these guarantees as our largest customers expand their data domains, develop more complex permission structures, and as AI agents become a significant new type of user accessing our systems. The Query and Access Control team is responsible for the query execution path over the Work Graph and its governing permissioning model. As a staff engineer, you will tackle our most challenging technical problems, driving initiatives that span multiple teams and influencing design decisions for years to come. You will collaborate closely with other core infrastructure teams to uphold customer trust in Asana as their platform for critical workflows.

Salary not listed

Mastercard is seeking a Lead Engineer to design and deliver scalable, enterprise-grade AI solutions that enhance our digital capabilities and customer experiences. This role will focus on building intelligent, production-ready systems leveraging large language models (LLMs), knowledge bases with vector search, and modern cloud/data platforms, while ensuring alignment with Mastercard’s standards for security, performance, and reliability. The Program Modernization team drives transformation and champions modernization across technology, risk, and service operations, establishing the foundation for scalable programs, resilient systems, and control governance.

Salary not listed

Parloa

Parloa is at the forefront of a new era in customer experience, powered by agentic AI. We aim to make every customer conversation effortless and meaningful. As a Manager, Forward Deployed Engineering, you will lead a high-impact team responsible for strategic enterprise AI deployments. Your mission is to ensure consistent deployment excellence, predictable delivery, strong engineering quality, and rapid unblocking within complex enterprise environments, while maintaining your own technical credibility.

Salary not listed

Salesforce is seeking a Senior Offensive AI Security Researcher to lead novel adversarial research across its AI ecosystem. This role focuses on uncovering critical and systemic vulnerabilities before they can be exploited, going beyond individual bug finding to scope, design, and execute advanced research into emerging AI threat vectors. The researcher will combine academic insights with practical offensive methodologies to establish new TTPs targeting complex AI paradigms, including prompt injection, tool abuse, RAG system poisoning, data extraction, and model/data supply chain compromises. You will act as a trusted partner to engineering and architecture teams, providing an offensive security perspective to shape threat models, guide AI architecture decisions, support corporate governance, and contribute to Salesforce’s Generative AI Security Standard.

Salary not listed

OpenAI

Dots is building personal AI agents designed to help users make progress on their goals, even when they are not actively using tools like ChatGPT. These agents are capable of learning user preferences, maintaining context across interactions, operating across different applications, and utilizing cloud computing resources to perform tasks. The team combines product engineering, design, and research to transform advanced AI model capabilities into practical, everyday user experiences. Engineers on this team play a crucial role in shaping both the product itself and the underlying systems, from initial prototyping through to launch and ongoing iteration. This role focuses on building the product experiences for Dots, from the user interface to the backend services that power them, helping to define how users delegate tasks to their personal agents, monitor progress, and collaborate with them over time. It involves hands-on product development and the systems engineering required to ensure persistent, asynchronous agent experiences are reliable.

$347k - $385k

Join us in building resilient, scalable solutions that enable better decisions for merchants and internal business partners around the world. As a Director of Software Engineering at JPMorgan Chase within Commercial & Investment Bank’s Merchant Services Data and Reporting organization, you will lead the strategy, engineering, and operation of large-scale data platforms and products. This role requires an execution-focused technology leader who can translate business priorities into measurable outcomes, operate complex data ecosystems with disciplined controls, maintain production stability, and scale the platform as Merchant Services expands into markets outside the United States.

Salary not listed

Assort Health

Assort Health is building a continuous conversation for every patient with an AI agent that remembers context and personal preferences. The company aims to transform healthcare administration by creating a more personalized and efficient patient experience. They have a strong growth trajectory, significant funding, and recognition as a leader in healthcare AI.

$115k - $140k

AI Labs at Salesforce is seeking deeply technical, product-savvy AI architects to evaluate AI technology for potential acquisitions and investments, and to accelerate portfolio companies post-acquisition. These leaders will provide technical depth during M&A diligence and help build common AI capabilities, models, and infrastructure that can be leveraged by acquired companies. The role involves assessing the technical viability of companies, identifying risks and opportunities, and advising on build-vs-buy decisions and the defensibility of underlying technology.

$197k - $365k

Capital One is seeking passionate Full-stack Software Engineers to join their Cloud Operations Resilience Engineering (CORE) division. This team is responsible for the foundational cloud infrastructure, focusing on observability, connectivity, resilience, and availability. You will be at the forefront of a major transformation, leveraging cutting-edge open-source frameworks and emerging AI-powered technologies to solve complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to drive technical leadership, design and implement large-scale distributed systems, and influence long-term technology strategy.

$230k - $262k

As a Robotics Software Engineer on the Isaac Applications Team, you will integrate software and hardware to enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents, connecting data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We are looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.

$184k - $357k

This role offers a unique opportunity to be at the forefront of artificial intelligence and Finance transformation, not just by supporting strategy but by actively building it. You will architect the next generation of AI-driven analytics and decision-support products for a leading asset and wealth management business. The position is ideal for someone who excels at shipping cutting-edge products and solving complex data challenges. You will join a team where your contributions directly influence how Finance leaders make critical decisions, with tangible and visible impact. As a Vice President — Applied Artificial Intelligence and Data Product Scientist, you will be an individual contributor focusing approximately 60% on hands-on building and 40% on strategy, roadmaps, and best practices. Your responsibilities will include researching, prototyping, and productionizing next-generation AI capabilities, as well as diagnosing and resolving structural data issues that affect both AI and traditional reporting products. You will collaborate with Finance stakeholders, data engineering, and platform teams, with your primary value derived from building code, training models, designing data architectures, and delivering functional products.

Salary not listed

Capital One is seeking passionate Full-Stack Software Engineers to join their Cloud Operations Resilience Engineering (CORE) division. This team is responsible for evolving the company's foundational cloud infrastructure, focusing on observability, connectivity, resilience, and availability. You will be at the forefront of a major transformation, leveraging cutting-edge open-source frameworks and emerging AI-powered technologies to solve complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to drive solutions in distributed microservices and full-stack systems, contributing to powerful experiences that help millions of Americans achieve financial empowerment.

$197k - $225k

OKX is seeking a Senior AI Engineer to design, build, and own key identity-risk and trust models. This role is crucial for detecting and preventing identity fraud, account takeover, and organized abuse in real-time for a global financial platform. You will be responsible for creating models that integrate various data sources, including identity verification, device and geo data, and user behavior, to generate trust and risk signals. This is an end-to-end role, from research to production, where you will ship models into high-risk, large-scale production environments and contribute to raising the team's technical standards.

Salary not listed

We are seeking experienced software developers looking to transition into the field of Generative AI. This role is an opportunity to leverage your strong technical foundation and programming skills to build AI-powered solutions. You will join a dynamic consulting team focused on applying large language models and generative AI to enterprise processes, working on real business problems for both domestic and international clients. You will learn from experienced GenAI experts while independently deepening your knowledge in a rapidly evolving field.

Salary not listed

Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and investments in technology, the company is at the forefront of enterprise AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to realizing Capital One's AI vision. The team collaborates with partners across the company to advance AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers. AI models and platforms empower various teams to enhance products with AI in responsible and scalable ways.

$230k - $262k

d-Matrix

d-Matrix is seeking a Senior Staff Inference Performance Engineer to join their Inference Cloud Engineering team. This role is responsible for the end-to-end performance of workloads deployed on d-Matrix's inference services, ensuring they perform at least as well as on bare metal. The engineer will diagnose and isolate performance issues across the full serving path, from orchestration to inference internals, and will be responsible for either fixing problems directly or handing them off to the appropriate owning team with clear evidence. The role involves assessing scalability, defining node requirements for optimal deployment, and building telemetry and benchmarks to support these efforts. The ideal candidate will mentor other engineers in a profiling-first methodology.

$175k - $265k

Manifold is seeking Forward Deployed Engineers (FDEs) to join our team at the intersection of AI, data infrastructure, and life sciences. In this high-impact role, you will collaborate directly with scientists and clinicians across biopharma, academic research, and health systems to implement Manifold's platform with their data, guiding projects from initial scoping through to production. As the primary technical and scientific contact for your accounts, you will operate autonomously, thrive under ambiguity, and represent Manifold at the highest level, earning customer trust and driving successful outcomes.

$165k - $190k

As an Applied AI and Machine Learning Lead, you will spearhead high-impact generative AI and advanced analytics initiatives, guiding them from research to production. Your role involves leading the design, evaluation, and deployment of foundation-model and agentic AI capabilities aimed at enhancing decision-making, automating tasks, and elevating engineering standards for reliability and governance. You will collaborate closely with product, engineering, and risk stakeholders to establish clear, measurable outcomes and deliver solutions that are scalable, robust, and responsibly implemented.

Salary not listed

General Motors is leveraging AI to streamline work processes, reduce manual effort, and enable engineers and business teams to focus on higher-value outcomes. As a Principal Engineer, AI Acceleration, you will identify impactful opportunities and then design, build, and scale AI-powered tools that significantly improve how people work. This is a hands-on technical leadership role focused on shipping tools that deliver substantial improvements, not just incremental gains. You will collaborate directly with various teams across the company to understand their challenges, moving from discovery and prototyping to production-quality solutions while adhering to standards for security, privacy, reliability, responsible AI, and supportability. The ideal candidate can create clarity from ambiguity, balance strategic thinking with technical implementation, and measure success by tangible outcomes.

Salary not listed

d-Matrix

d-Matrix is seeking a Principal Test Automation Engineer to define and build AI-enabled automation across the software development lifecycle, from build and CI through testing and release. This role involves setting technical direction for AI-enabled workflow automation, building foundational components like agent harnesses and integrations, and developing evaluation methods to ensure automation effectiveness. You will work hands-on, shipping critical components and collaborating with other engineers to raise the bar for AI adoption in daily engineering tasks. The ideal candidate will have extensive production software engineering experience, strong Python skills, and experience shipping AI-enabled tools in production.

$195k - $285k

Ema builds AI Employees for HR, IT, and Finance, taking on busy work so people can focus on more impactful tasks. Founded by former executives from top tech companies and backed by leading investors, Ema is at the forefront of Agentic AI in production, shipping real systems that run business processes at scale. This role focuses on ensuring the security of AI agents and the platform they operate on, especially as they interact with sensitive enterprise data and systems. You will build security controls for autonomous agents in multi-tenant environments, addressing zero-trust challenges and securing various attack surfaces including LLM orchestration, tool integrations, code execution, and browser automation.

Salary not listed