AI Reliability Engineer

Senior AI Reliability Engineer

Develop the AI Framework Driving Adobe's Next Generation of Intelligent Operations

At Adobe, we're building an AI-first engineering platform that transforms how software is built, deployed, operated, and secured.

We're seeking engineers enthusiastic about LLMs, AI Agents, MLOps, Kubernetes, cloud infrastructure, and autonomous operations to develop the AI platform driving the future of Adobe's engineering ecosystem.

You will operate where AI, Platform Engineering, SRE, and Cloud Infrastructure meet. You will create intelligent systems that automate operations, speed up developer productivity, and support AI-powered decision-making on a large scale.

What you are going to develop

Instead of managing infrastructure, you'll develop the AI platform that manages infrastructure.

AI Platform Engineering

• Design and build enterprise AI platforms for deploying, operating, and scaling LLM-powered applications.
• Develop AI Agents and MCP (Model Context Protocol) servers that automate engineering workflows.
• Build secure AI gateways enabling developers to interact with infrastructure through natural language.
• Design Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases.
• Build AI copilots for incident response, debugging, deployment validation, and operational workflows.
• Develop AI assessment frameworks to consistently gauge model quality, accuracy, latency, cost, and safety.

MLOps or equivalent experience & LLMOps

• Build production-grade inference platforms for foundation models and AI services.
• Deploy and manage LLM workloads on Kubernetes.
• Design scalable GPU-enabled infrastructure for model inference and AI workloads.
• Build CI/CD pipelines for AI models including automated testing, evaluation, rollout, and rollback.
• Automate model lifecycle management including deployment, versioning, monitoring, and governance.
• Implement prompt versioning, model experimentation, and AI release management.

AI Observability

• Build observability platforms for AI systems including model latency, token utilization, cost per request, hallucination detection, prompt quality, AI workflow tracing, and agent execution monitoring.
• Build intelligent anomaly detection using AI.

Autonomous Operations

Build systems capable of autonomous incident investigation, root cause analysis, infrastructure provisioning, automated remediation, capacity optimization, AI-assisted change management, and predictive failure analysis.

Platform Engineering

Continue building Adobe's cloud platform by bringing to bear Kubernetes, AWS, Terraform, GitOps, ArgoCD, Service Mesh, Platform APIs, Internal Developer Platforms, and multi-region infrastructure.

What we are seeking

AI Engineering

Practical experience working directly with one or more of the following: OpenAI APIs, Anthropic Claude, LangGraph, LangChain, MCP, RAG, Vector Databases, Agentic AI, Prompt Engineering, and AI Evaluation Frameworks. Background in developing AI-native applications instead of only using AI APIs.

MLOps or equivalent experience

Experience with: model serving, ML pipelines, feature stores, model monitoring, MLflow, Kubeflow, Ray, KServe, BentoML, Triton Inference Server, GPU scheduling, and the NVIDIA ecosystem.

Platform Engineering

Strong experience with: Kubernetes, AWS, Terraform, Docker, Helm, ArgoCD, GitOps or equivalent experience, and Platform Engineering.

Programming

Excellent programming skills in Python and Golang. Experience building distributed systems and APIs.

Observability

Experience with: Prometheus, Grafana, OpenTelemetry, Jaeger, New Relic, and Elastic.

Bonus

Experience building: AI Agents, MCP Servers, AI Gateways, Developer Copilots, AI-assisted IDE tooling, autonomous remediation systems, and AI-powered deployment platforms.

What makes this role unique

You'll participate in building Adobe's AI engineering platform where AI handles infrastructure, explores incidents, detects failures, produces infrastructure, evaluates deployments, performs compliance assessments, and aids every Adobe engineer. This role is not traditional SRE or ordinary MLOps—it's an opportunity to pioneer the future of AI-native Platform Engineering and Agentic Operations on an enterprise scale.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call +1 408-536-3015. 

AI Use Guidelines for Interviews:Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.