Currently tracking 206 active AI roles, with 444 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $224k).
| Title | Stage | AI score |
|---|---|---|
| Principal Enterprise Solutions Architect This role focuses on architecting and designing generative and agentic AI solutions for enterprise workflows, acting as a technical anchor in the pre-sales process. The Principal Enterprise Solutions Architect will translate GenAI vision into implementable realities, design AI-enabled automation workflows, and contribute to customer-specific technical roadmaps and broader system architectures. The role involves collaborating with internal teams, sales, and customers to ensure successful integration and adoption of AI technologies, particularly Adobe Firefly Enterprise Solutions, within enterprise creative and marketing operations. | Agent | 7 |
| Principal Technical Program Manager - Agentic AI This role is for a Principal Technical Program Manager focused on Agentic AI within Adobe Express. The primary responsibility is to lead strategic efforts that embed AI into product functionalities and internal development operations, driving efficiency and scalability through AI-enabled workflows, automation, and decision-making. The role involves translating AI capabilities into practical applications, improving team velocity and quality, and championing AI adoption across diverse teams. |
| Agent |
| 7 |
| Senior Software Engineer - Graph Node Ecosystem (Image) Senior Software Engineer to build and maintain image generation, editing, and processing nodes within Adobe's Project Graph, a visual node graph editor for creative workflows. This role involves integrating AI image models, GPU-accelerated operations, and Creative Cloud capabilities into a scalable, distributed system. | ShipServe | 7 |
| Applied Scientist The Applied Scientist will work on post-training and distillation of large generative AI models for Adobe Firefly, focusing on improving quality, efficiency, and scalability for image and video generation. Responsibilities include developing distillation pipelines, applying post-training methods like SFT and preference optimization, building tools for data and training workflows, and optimizing models for deployment. | Post-trainServe | 7 |
| Director of Engineering Director of Engineering at Adobe leading a senior engineering organization focused on large-scale, cloud-native platforms and AI/GenAI-powered capabilities. The role involves defining technical vision, leading design and delivery of distributed systems and microservices, and managing teams that build AI/GenAI features and improve engineering efficiency with AI. Requires deep expertise in distributed systems, cloud platforms, and a solid understanding of AI/GenAI. | Agent | 7 |
| Software Development Engineer Software Engineer to join the Cloud Tooling Development team, designing and building self-service tools and platforms for Cloud and AI enablement. The role involves integrating AI and agentic capabilities into features, abstracting complexity, and enabling cloud/AI access across hyper-scalers and AI platforms. Requires experience with full-stack development, cloud infrastructure, AI stack (LLMs, agents, frameworks like LangGraph), and observability tools. | AgentServe | 7 |
| Applied Scientist 3 This role focuses on post-training and distillation of large generative AI models for images and videos, aiming to improve quality, efficiency, and deployability. Responsibilities include developing distillation pipelines, refining post-training methods (SFT, DPO, GRPO, reward-based learning), building infrastructure for training workflows, and optimizing models for deployment efficiency. The role collaborates with researchers and engineers to adapt complex models into efficient production versions. | Post-trainServe | 7 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Adobe Stock's Content Intelligence team, focusing on developing and deploying ML models for content understanding within Adobe's creative ecosystem (Stock, Behance, Firefly). The role involves leading ML model development, collaborating with product and engineering, and mentoring team members, with a strong emphasis on production deployment and innovation. | Ship | 7 |
| Senior Applied Scientist - Machine Learning Systems Engineer- Photoshop Senior ML Systems & Efficiency Engineer for Photoshop ART R&D team, focused on optimizing inference performance, latency, and cost efficiency for image editing applications. The role involves deep expertise in AI/ML systems, computer vision, distributed inference, and performance optimization, with a mandate to deliver production-ready ML systems at lower cost and higher efficiency. Responsibilities include designing and optimizing inference systems, developing high-performance GPU kernels, conducting performance profiling, collaborating on distributed serving systems, and establishing cost-aware ML engineering practices. | Serve | 7 |
| Senior Solution Architect Firefly Enterprise Solutions Senior Solution Architect for Adobe Firefly Enterprise Solutions in EMEA, focusing on designing and architecting generative and agentic AI solutions for enterprise workflows. The role involves leading technical discovery, building prototypes, and creating reference architectures to integrate AI into customer creative and marketing processes, acting as a technical anchor in the pre-sales motion. | Agent | 7 |
| AI Context Engineer This role focuses on building and maintaining context pipelines for LLMs in an enterprise setting, aiming to improve employee productivity and experience. It involves designing systems that assemble instructions, frameworks, standards, tools, and memory for accurate and safe model responses at scale. | Agent | 7 |
| Computer Scientist 2 ( Python -GenAI ) Lead Engineer role focused on designing, developing, and deploying scalable GenAI solutions, including agents, applications, and microservices. Involves building data workflows, managing API infrastructure, implementing RAG patterns, and optimizing AI performance. Requires strong Python, cloud, and AI/ML infrastructure knowledge. | Agent | 7 |
| Agentic Outcome Engineer This role focuses on designing, building, and optimizing AI-powered agents to improve customer experiences with Adobe products. The engineer will own the full lifecycle of these agent systems, from development to continuous improvement, driving business impact through data-driven insights and collaboration. | Agent | 7 |
| Software Development Engineer - Adobe Sites Optimizer Software Development Engineer to build cloud services integrating AI/ML and generative AI for Adobe's AEM Sites Optimizer and LLM Optimizer product. The role involves analyzing data, automating hypotheses into self-learning AI-first software, designing prompt engineering strategies, and utilizing RAG. | Agent | 7 |
| Senior Application Engineer - Photoshop Senior Application Engineer for Photoshop, focusing on integrating GenAI and AI/ML experiences into the product. This role involves developing and shipping AI-powered features, bridging research prototypes to production, and improving engineering workflows with AI tools. Requires strong C++ development skills, understanding of AI/ML and computer vision, and experience shipping AI-driven features. | ShipAgent | 7 |
| AI Security Controls Engineer This role focuses on building and scaling security controls and governance frameworks for AI/ML and agentic systems within an enterprise. It involves defining policies, implementing technical controls, establishing guardrails, managing access, and performing threat modeling to mitigate risks associated with AI. The role also ensures alignment with regulatory frameworks and supports audits. | Agent | 7 |
| Senior Director of Engineering - Customer Experience Services (CES) Senior Director of Engineering to lead vision, strategy, and execution of Growth Apps for Customer Experience Services (CES). This role will shape and scale enterprise-grade AI applications, focusing on customer interaction with intelligence-driven interfaces and workflows. The position involves leading a team to build repeatable systems that drive adoption, retention, and expansion at enterprise scale, bridging core platforms and go-to-market motions. | Ship | 7 |
| Sr Manager, Machine Learning Engineering This role is for a Manager of Applied Research focused on leading and growing a team responsible for training data for Adobe's enterprise generative AI service, Firefly Foundry. The responsibilities include defining and executing strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large-scale datasets, building scalable data pipelines, and collaborating with researchers and ML engineers. The role requires strong leadership, deep understanding of ML data lifecycles for generative models, and expertise in cloud data technologies. | Data | 7 |
| Director, Engineering Program Management - AI Platforms & Globalization Director of Engineering Program Management focused on AI Platforms and Globalization. This role leads program managers in executing complex, cross-functional localization programs, enabling international product releases. A key focus is improving efficiency and governance through AI-enabled program management practices, embedding AI into core products and internal workflows, and evolving traditional systems into AI-enabled, autonomous, and scalable architectures. The role involves managing a significant outsourcing budget and driving product ownership for Adobe's AI-powered globalization platform. | Agent | 7 |
| Principal Data & AI Engineer This role focuses on building agent-based automation and autonomous AI systems, specifically LLM agents and multi-agent orchestration, for data integration and workflow automation within an enterprise customer solutions context. It involves significant data engineering work to prepare and integrate customer data sources with Adobe solutions, leveraging AWS AI/ML and agentic services. | AgentData | 7 |
| Full-Stack Engineer, Enterprise GenAI Full-stack engineer to build next-generation AI-first products, integrating AI systems into scalable experiences. Combines UI expertise with full-stack engineering for seamless integration of AI services into Adobe products. | Agent | 7 |
| Machine Learning Engineer 4 Machine Learning Engineer at Adobe responsible for developing, implementing, and operating scalable ML models, with a focus on Agentic AI solutions, predictive modeling, Reinforcement Learning, and Forecasting. The role involves end-to-end model lifecycle management, MLOps, performance tuning, production monitoring, and ensuring governance, security, and compliance for ML pipelines. | AgentData | 7 |
| Senior Applied Machine Learning Engineer, Typographic Intelligence Senior Applied Machine Learning Engineer to design and deliver intelligent typographic features across Adobe's creative products, simplifying decisions and workflows for millions of users. This role involves applying advanced modeling to design, train, debug, and operationalize ML systems for layout, generative styling, and design intelligence, owning the modeling lifecycle end-to-end and integrating models into hybrid product architectures. | ShipServe | 7 |
| Senior Software Engineer — Experience League Knowledge Platform & GenAI Services Senior Software Engineer to design and build backend services and APIs for Adobe's Experience League platform, evolving it into a GenAI-first Knowledge Services offering. The role focuses on creating scalable, governed knowledge access patterns for downstream consumers like AI agents and assistants, replacing ad-hoc methods with structured knowledge representations and supporting agentic workflows. | Agent | 7 |
| Senior Software Development Engineer - Agentic Systems, Adobe Experience Platform (AEP) Senior Software Engineer focused on building agentic systems for Adobe Experience Platform's Generative AI capabilities, involving design, implementation, monitoring, and scaling of services that power audience creation, journey optimization, and personalization. | Agent | 7 |
| Machine Learning Engineer 3 Machine Learning Engineer at Adobe responsible for developing and scaling deep learning algorithms in NLP and computer vision, with experience in RAG and GenAI systems. The role involves building efficient, reusable code and shipping ML-powered products and services. | ServeAgent | 7 |
| Sr Machine Learning Engineer Senior Machine Learning Services Engineer at Adobe to productionize AI and Generative AI capabilities into Adobe's creative products. The role focuses on building and optimizing backend cloud services for ML inference, including GPU acceleration, quantization, and other optimization techniques. It involves integrating new models, maintaining CI/CD pipelines, and ensuring production standards for observability and reliability. | Serve | 7 |
| Lead Customer Facing Applied AI Engineer Lead Customer Facing Applied AI Engineer at Adobe responsible for implementing AI integration patterns, creating reusable SDKs, acting as a data analyst for model behavior, designing evaluation pipelines, instrumenting AI features with observability, and designing/implementing AI-backed services. The role involves deep technical work and on-site collaboration with global industry leaders to ensure they extract maximum value from Adobe's AI capabilities. | AgentEval Gate | 7 |
| Machine Learning Ops Engineer, Brand Concierge ML Ops Engineer role focused on operational reliability, scalability, and performance of AI systems, including LLM agents and RAG systems. Responsibilities include managing the model lifecycle, implementing monitoring and observability, developing CI/CD pipelines for AI, automating infrastructure, managing data pipelines, optimizing AI stack performance, incident response, and ensuring compliance. Requires experience in MLOps, DevOps, ML platform engineering, cloud infrastructure, Kubernetes, IaC, ML model serving tools, and Python. Preferred experience with LLM applications, RAG, AI agent orchestration, and vector databases. | ServeAgent | 7 |
| Principal Engineering Program Manager -GenAI This role is for a Principal Engineering Program Manager focused on Generative AI within Adobe's Document Cloud. The primary responsibility is to drive feature development from ideation to implementation by fostering collaboration, managing programs through their full lifecycle, and ensuring smooth execution of GenAI initiatives. The role requires a deep understanding of GenAI core technologies and experience leading complex technical programs. | Agent | 7 |
| Dir, Machine Learning Eng Director of Machine Learning Engineering to lead a team in evolving a data platform to support AI/ML innovation, focusing on big-data management and compute abstractions within a governed trust framework. | Data | 7 |
| Machine Learning Engineer - Evergreen Machine Learning Engineer at Adobe focused on building and scaling data products and AI/ML solutions for enterprise customers, involving the full lifecycle of model development, deployment, and maintenance. | Serve | 7 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer to design, build, and scale agentic AI platforms and products for enterprise customer experiences and marketing campaigns, focusing on the AEP Agent Orchestrator. | Agent | 7 |
| Sr. Python Engineer, AI/ML Application This role focuses on building AI/ML solutions and agent coordination systems within Adobe Experience Platform, leveraging LLM and ML technologies for enterprise customers. The engineer will architect, implement, and optimize agent-based systems, focusing on reliability, scalability, and performance, while also contributing to platform development and innovation in agent orchestration. | Agent | 7 |
| 2026 Intern - Machine Learning Engineer This internship focuses on building LLM-powered solutions for marketing efficiency using generative AI, agentic workflows, and RAG. The role involves designing, developing, and integrating these AI systems into marketing applications, collaborating with cross-functional teams, and staying updated on LLM trends. Requires experience with RAG, autonomous workflows, and multi-agent systems. | Agent | 7 |
| Senior Computer Scientist- Developer Experience Senior Software Engineer to build and evolve the platform foundation for Adobe web applications, focusing on developer experience through intelligent tooling and AI-enabled systems. The role involves improving build systems, CI/CD, and introducing AI-assisted capabilities for code generation, testing, and debugging. | Agent | 7 |
| Senior Software Development Engineer Senior Software Development Engineer at Adobe in Tokyo, focused on building next-generation digital experiences for the Japanese market by integrating generative AI into Creative Cloud and Document Cloud products. The role involves designing, building, and maintaining software, integrating AI capabilities like text processing and content generation, and prototyping advanced AI techniques such as fine-tuning and RAG for Japan-specific use cases. | AgentPost-train | 7 |
| Senior / Prompt Engineer (AI/ML), Brand Concierge Senior Prompt Engineer at Adobe focused on enhancing LLM performance for enterprise use cases, designing multi-step agent workflows, implementing function calling and tool use, and optimizing prompts for accuracy, privacy, and compliance. The role involves collaboration with AI engineers and product teams to integrate prompts into production agent systems. | Agent | 7 |
| Senior / Information Retrieval Engineer (AI/ML), Brand Concierge Senior Information Retrieval Engineer focused on building and deploying scalable RAG pipelines and semantic search systems to power context-aware LLMs for enterprise AI applications. This role involves data processing, ingestion, retrieval optimization, and performance monitoring. | Agent | 7 |
| Software Development Engineer, Influencer Management Software Development Engineer to build and launch a new product within Adobe, focusing on a platform for enterprise brands and creators to collaborate on influencer marketing. A core part of the platform will involve Agentic AI systems to streamline workflows, integrating LLM-powered services and processes. The role involves full-stack development, backend services, AI-powered features, and scalable data pipelines. | Agent | 7 |
| Software Development Engineer, Influencer Management Software Development Engineer to build and launch a new AI-native platform for enterprise influencer marketing, integrating agentic AI systems and LLM-powered services for workflow automation and optimization. | Agent | 7 |
| Tech Lead / Architect Tech Lead/Architect to build and launch a new enterprise platform for influencer marketing campaigns, leveraging Agentic AI systems and LLM-powered agents. The role involves defining architecture, ensuring scalability, reliability, and security, and building evaluation frameworks, observability, and trust mechanisms for AI-native systems. | Agent | 7 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer with Python and Generative AI expertise to lead the architecture and deployment of production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include building scalable backend systems, implementing GenAI workflows, fine-tuning LLMs, developing APIs, managing data and MLOps, and providing technical leadership. | AgentServe | 7 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer with Python and Generative AI expertise to lead the architecture and deployment of production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include building scalable backend systems, implementing GenAI workflows, fine-tuning LLMs, developing APIs, managing data and MLOps, and providing technical leadership. | AgentServe | 7 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer with Python and Generative AI expertise to lead the architecture and deployment of production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include building scalable backend systems, implementing GenAI workflows, fine-tuning LLMs, developing APIs, managing data and MLOps, and providing technical leadership. | AgentServe | 7 |
| Engineering Manager - Adobe Express (with AI/ML Expertise) Engineering Manager for Adobe Express in Bucharest, Romania, responsible for leading a team of engineers developing AI/ML-powered features and driving AI adoption across teams. The role involves managing feature development, collaborating with cross-functional teams, determining technical requirements, and promoting innovation. Key responsibilities include hands-on AI/ML experience, driving AI adoption beyond a single team, establishing success metrics, and contributing to governance practices for safe and scalable AI usage. | Ship | 7 |
| Research Engineer Research Engineer focused on optimizing the resource consumption of large-scale generative AI models for cloud and on-device deployment, bridging cutting-edge research with product development. | ServePost-train | 7 |
| Forward Deployed Engineer (Full-Stack + AI) This role focuses on the end-to-end development and launch of GenAI applications by integrating Adobe and third-party generative models. The engineer will embed with customer teams to build proof points rapidly, co-develop features, and bridge field-proven use cases back to the product roadmap. The role involves full-stack development, rapid prototyping, and scaling solutions with CI/CD pipelines and governance checks. | Agent | 7 |
| Information Retrieval Engineer Seeking an Information Retrieval Engineer to lead the development and optimization of retrieval systems for context-aware large language models (LLMs). This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to relevant information, working at the intersection of data engineering, machine learning, and knowledge management. | Agent | 7 |
| Mgr, Advanced Analytics and Reporting Manager for Advanced Analytics and Reporting at Adobe, leading a team to build intelligent tools, reports, dashboards, workflows, and ML/AI pipelines for the Digital Experience business. The role involves technical leadership, people management, and delivering data products focused on customer adoption, retention, and value realization. Responsibilities include overseeing ML/AI workflow design and deployment, predictive models, and LLM-powered agents to automate insights and deliver customer intelligence. | Agent | 7 |