AI Engineer Jobs

As the Applied ML and Generative Lead within J.P. Morgan, you will operate as a hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. A core requirement is stakeholder partnership: you will routinely explain what is being built, why it matters, and how it will perform in production to both technical and non-technical audiences, enabling informed decisions and clear delivery alignment.

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PwC Poland's DIPA team is seeking a Conversational AI Developer to design, implement, and deploy enterprise-grade conversational AI solutions using modern LLM technologies. You will work on production chatbot and voicebot implementations, integrating AI assistants with enterprise systems to transform customer service and business processes. This role primarily focuses on prompt-based conversational AI, with opportunities to work on traditional intent-based solutions as needed.

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Salesforce is seeking a highly experienced Field CTO to serve as the most senior technical voice on Data 360 in EMEA. This role requires deep expertise in the Salesforce Platform and modern data platforms, enabling you to architect solutions alongside customer Chief Architects and educate internal teams. You will be a data-first professional, fluent in headless and agentic AI, with a strong sales-driven presence and C-level credibility. The position involves thought leadership, strategic architecture in complex deals, and building reference architectures and technical go-to-market narratives. You will act as a long-term trusted advisor to strategic accounts, influencing the market's view of data-first AI.

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Unusual Ventures is seeking an AI Engineer to join their team. This role involves building AI-powered agents and pipelines to enhance talent intelligence, sourcing, and research for their portfolio companies. You will also develop tools for diligence support, firm knowledge management, operations automation, and portfolio support, directly impacting the firm's usefulness to the founders they back. The position emphasizes building practical solutions that address real user problems and iterating quickly.

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Tennr

Tennr is seeking a high-agency Senior Backend Engineer to connect advanced ML research with practical product delivery. You will architect and develop agentic workflows designed to tackle complex healthcare processes, addressing infrastructure, workflow, and user experience challenges within the U.S. healthcare system. This role involves constructing data pipelines, evaluation frameworks, and scalable, production-ready agentic systems. You will be tasked with identifying and implementing the most suitable tools and models for each specific workflow, ensuring optimal technology utilization.

$190k - $215k

OpenAI

The Applied AI Engineering team is responsible for the safe and effective deployment of generative AI applications for developers and enterprises. As an Applied AI Engineer, you will work with industry-leading technology companies to integrate new AI capabilities into their products. This role involves partnering directly with experienced product and engineering teams to transform frontier model capabilities into new features and agentic experiences, combining rapid experimentation with the demands of established products. You will take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale, writing and debugging code, building evaluation systems, and resolving complex integrations. Success is measured by production systems, sustained adoption, and meaningful customer impact.

$251k - $278k

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

We are seeking a highly skilled and visionary Full-Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge open-source frameworks. As a Capital One Manager-level IC, you’ll be on the forefront of driving a major transformation across the enterprise. The Marketing and Messaging team, supported by Enterprise Platforms Technology (EPTech), drives hyper-personalized consumer experiences through enterprise scale, governance, and architectural practices. You will lead a portfolio of diverse technology projects, architect and scale large-scale, cloud-native systems, and innovate with AI/ML technologies to power hyper-personalized user experiences.

$230k - $262k

Capital One is building a new AI-native platform to empower business users to execute AI-assisted analysis across various lines of business. This enterprise platform will serve over 15,000 users, integrating deterministic code with reasoning systems and both frontier and homegrown AI models to transform data analysis within the company. The role involves partnering with cross-functional teams to deliver AI-powered products, designing and developing AI software components, and leveraging a broad stack of open-source and SaaS AI technologies. You will invent and introduce state-of-the-art foundation model optimization techniques to enhance the performance of large-scale production AI systems, contribute to the technical vision and roadmap of foundational AI systems, and set the technical direction for enterprise-wide AI architecture.

$245k - $279k

Capital One is seeking a Staff AI Engineer to join the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. This role involves partnering with cross-functional teams to deliver AI-powered products that transform how associates work and customers interact with the bank. You will design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, and more. The position offers the opportunity to leverage a broad stack of Open Source and SaaS AI technologies and to invent and introduce state-of-the-art foundation model optimization techniques to improve the performance of large-scale production AI systems. You will also contribute to the technical vision and long-term roadmap of foundational AI systems, set technical direction for enterprise-wide AI architecture, and own the design and integration of model routing, caching, and orchestration systems.

$245k - $279k

Datadog

The Agentic Interfaces team at Datadog is seeking a Staff Applied Scientist to lead the evaluation strategy for AI agent integrations. This role focuses on defining and building the measurement systems that ensure AI agents interacting with Datadog's observability, security, and software delivery data are continuously improving. You will be responsible for establishing metrics that cover answer quality, tool selection accuracy, retrieval relevance, latency, and cost, and will partner with AI engineers to implement these systems. This is an opportunity to tackle open research questions in agent-data interaction, such as evaluating non-deterministic trajectories, scoring tool selection in large catalogs, and building scalable measurement systems that benefit both first-party and third-party agents.

$276k - $345k

Datadog

The Internal Product Analytics (IPA) team serves as the analytics backbone for Datadog's Product organization, providing PMs and leadership with the data, tooling, platform, and analysis necessary for informed decision-making. The team is responsible for recurring analytical tasks and developing AI-first workflows to enhance the speed and consistency of analysis across the organization. As the Manager of IPA, you will lead a team of data analysts, collaborate closely with Product Managers, and partner with platform engineering teams. Your role will involve setting the strategic direction for team analysis, AI-first tooling development, and cross-functional partnerships, focusing on transforming complex data and open questions into clear, actionable insights.

$160k - $200k

Datadog

Datadog is seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture team. In this role, you will act as a technical multiplier for leading AI labs and AI-native companies, bridging the gap between their infrastructure aspirations and Datadog’s technology roadmap. You will ensure our platform natively solves the unique observability challenges of training and deploying foundational models at scale. We operate as a hybrid workplace to foster collaboration and creativity while ensuring work-life harmony.

$330k - $440k

Datadog

The Behavior AI team is responsible for developing the AI-based anomaly detection systems that power Datadog's security products. These models are designed to learn normal behavior patterns from vast amounts of data and flag deviations in real-time, with a focus on efficiency and cost-effectiveness at scale. The work involves creating small, custom models optimized for high-throughput stream processing, rather than relying on large, general-purpose models. This role offers the opportunity to contribute to the entire model lifecycle, from architectural design and large-scale training to optimization for production environments, addressing complex challenges in model efficiency, accuracy trade-offs, and interpretability.

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Mastercard is seeking a Senior Software/AI Engineer to join their AI & Decision Product Enablement team in Vancouver. This role is crucial for advancing Mastercard's Sanctions Screening solutions by building scalable, high-performance services that assist financial institutions in managing sanctions risk, ensuring regulatory compliance, and facilitating secure payment processing. The position offers a chance to work on a highly visible platform and influence the adoption of AI-enabled engineering practices across the organization. The engineer will design, develop, and support business-critical software systems at a global scale, collaborating with various teams to deliver reliable, secure, and innovative solutions.

CA$111k - CA$160k

OpenAI

We are seeking dedicated, experienced, and deeply curious individuals to join our User Operations team. In this role, you will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in a fast-paced environment. You will be a critical line of defense for customers operating at massive scale, supporting mission-critical systems built on OpenAI's platform. Beyond resolving technical issues, you will help define world-class support in an AGI-driven future, partnering closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience.

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Datadog

Datadog's AI Platform is seeking a Senior Applied Scientist to join the Generative Simulations (GenSim) team. This role is crucial for developing the environments in which Datadog's AI agents learn and are evaluated. Unlike traditional methods that replay sampled telemetry, GenSim builds and operates real, instrumented applications, injects controlled failures, and records outcomes to establish ground truth. This provides a rich source of post-training data for AI models, enabling agents to be trained and evaluated against realistic scenarios. The team is looking for an individual to lead the applied science direction, defining methodologies and making key technical decisions for creating simulated environments and post-training data. This position offers a unique opportunity to tackle complex challenges in AI agent evaluation and data quality, contributing to Datadog's leadership in the field.

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OpenAI

We are seeking dedicated, experienced, and deeply curious individuals to join our User Operations team as an AI Support Engineer. In this role, you will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in a fast-paced environment. Your work will directly support mission-critical systems being built on OpenAI's platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you will help define world-class support in an AGI-driven future, partnering closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience.

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Datadog

Datadog's Product Analytics suite aims to provide product teams with a comprehensive view of user experience, enabling them to release, measure, and improve features with confidence. The Applied AI/ML team within this suite focuses on making these tools more intelligent and autonomous by researching, prototyping, and implementing AI/ML capabilities. These advancements include AI-driven event understanding, conversational analytics, automated insights, and UI/UX issue detection from session replays, with the goal of empowering product teams to move from questions to insights and implemented changes independently. As the Engineering Manager for this team, you will lead a group of Applied Scientists in an early-stage, high-impact role. Your responsibilities will include defining the team's technical vision, expanding its influence, and shaping the development and delivery of AI capabilities across the product suite. This is a greenfield opportunity, involving both R&D and team growth.

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Handshake is seeking a Member of Technical Staff to join their AI Engineering team. This role is crucial for building and improving the data systems that power frontier model training. You will be responsible for enhancing how Handshake generates, processes, and prepares complex and sensitive data, including creating high-quality synthetic data and anonymizing acquired data while preserving its value. You will collaborate with researchers, domain experts, legal teams, and customers to transform data-related challenges into experiments, pipelines, and products, influencing the company's technical direction and culture.

$200k - $350k

We are seeking a Senior Software Engineer with a Full Stack Web Development background, focusing on Google Cloud Platform (GCP) and Vertex AI Search. This role is part of the Brands & Marketing Software Engineering Team, responsible for building innovative customer experiences, including AI-powered discovery and search. The mission is to leverage GCP and Vertex AI to deliver intelligent, personalized digital experiences at scale. The successful candidate will lead engineering efforts in planning, design, architecture, and execution, with a strong emphasis on building modern web applications that integrate with GCP-native services and designing AI-powered search experiences.

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OpenAI

OpenAI is seeking dedicated, experienced, and curious individuals to join its User Operations team as an AI Support Engineer. This role is crucial in supporting customers' adoption of AI and ensuring an exceptional product experience. You will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in a fast-paced environment. Your work will directly support mission-critical systems being built on OpenAI's platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you will help define world-class support in an AGI-driven future, partnering closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience by leveraging automation, agents, and AI technology.

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Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. You will gain breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside leading AI companies and a direct pathway to advanced engineering programs.

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Faire is seeking a Senior Applied AI/ML Scientist to join the Listing Quality team. This role will focus on developing and implementing algorithmic solutions to revolutionize the wholesale industry by improving product catalog content. You will be responsible for the modeling and measurement of product images, titles, descriptions, and attributes, leveraging multi-modal deep learning and LLMs to enhance product discoverability and sales. This is a high-impact position where you will drive projects end-to-end, from problem framing to production and measurement, working with unstructured data to solve challenging marketplace problems.

$211k - $291k