Senior Machine Learning Ops Engineer Jobs (NOW HIRING)

The Opportunity
Join Adobe as a skilled and proactive Machine Learning Ops Engineer to drive the operational reliability, scalability, and performance of our AI systems! This role is foundational in ensuring our AI systems operate seamlessly across environments while meeting the needs of both developers and end users. You will lead efforts to automate and optimize the full machine learning lifecycle-from data pipelines and model deployment to monitoring, governance, and incident response.
What you'll Do
Model Lifecycle Management

• Manage model versioning, deployment strategies, rollback mechanisms, and A/B testing frameworks for LLM agents and RAG systems.
• Coordinate model registries, artifacts, and promotion workflows in collaboration with ML Engineers

Monitoring & Observability

• Implement real-time monitoring of model performance (accuracy, latency, drift, degradation).
• Track conversation quality metrics and user feedback loops for production agents.

CI/CD for AI

• Develop automated pipelines for timely/agent testing, validation, and deployment.
• Integrate unit/integration tests into model and workflow updates for safe rollouts.

Infrastructure Automation

• Provision and manage scalable infrastructure (Kubernetes, Terraform, serverless stacks).
• Enable auto-scaling, resource optimization, and load balancing for AI workloads.

Data Pipeline Management

• Craft and maintain data ingestion pipelines for both structured and unstructured sources.
• Ensure reliable feature extraction, transformation, and data validation workflows.

Performance Optimization

• Monitor and optimize AI stack performance (model latency, API efficiency, GPU/compute utilization).
• Drive cost-aware engineering across inference, retrieval, and orchestration layers.

Incident Response & Reliability

• Build alerting and triage systems to identify and resolve production issues.
• Maintain SLAs and develop rollback/recovery strategies for AI services.

Compliance & Governance

• Enforce model governance, audit trails, and explainability standards.
• Support documentation and regulatory frameworks (e.g., GDPR, SOC 2, internal policy alignment).

What you need to succeed

• 3-5+ years in MLOps, DevOps, or ML platform engineering.
• Strong experience with cloud infrastructure (AWS/GCP/Azure), container orchestration (Kubernetes), and IaC tools (Terraform, Helm).
• Familiarity with ML model serving tools (e.g., MLflow, Seldon, TorchServe, BentoML).
• Proficiency in Python and CI/CD automation (e.g., GitHub Actions, Jenkins, Argo Workflows).
• Experience with monitoring tools (Prometheus, Grafana, Datadog, ELK, Arize AI, etc.).

Preferred Qualifications

• Experience supporting LLM applications, RAG pipelines, or AI agent orchestration.
• Understanding of vector databases, embedding workflows, and model retraining triggers.
• Exposure to privacy, safety, and responsible AI principles in operational contexts.
• Bachelor's or equivalent experience in Computer Science, Engineering, or a related technical field.

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 accommodations@adobe.com 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.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $183,300 - $265,350
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.