AI Engineer Jobs at Adobe with Visa Sponsorship
AI Engineer jobs at Adobe sit at the center of building AI products used by hundreds of millions of people, spanning generative AI, machine learning infrastructure, and creative intelligence. Adobe has an active visa sponsorship program covering multiple visa categories for technical talent.
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Senior SRE — RTCDP Datastores & AI/ML Ops
Adobe’s Real-Time Customer Data Platform (RTCDP) powers personalized experiences for some of the world’s largest brands. As a Senior SRE on this team, you’ll be central to keeping RTCDP reliable, scalable, and operationally excellent at global scale. This is a hands-on, high-ownership role at the intersection of production operations (Day 2 ownership) and core datastore engineering, with a growing surface area in operationalizing AI/ML services and workflows.
What You’ll Do
Own production reliability
- Own day-to-day reliability for RTCDP services — availability, performance, and durability against SLOs
- Participate in on-call rotations and incident response, driving mitigation and recovery through SEV3–SEV1 events
- Lead post-incident reviews and follow-up work
- Strengthen operational readiness, playbooks, and on-call health
- Partner with product and platform teams on production-ready launches and regional expansions
Operate and evolve core datastores
You’ll work across RTCDP’s distributed datastore ecosystem: Aerospike, FoundationDB, Postgres, and CosmosDB/DynamoDB.
- Drive reliability, scaling, and operational excellence across these platforms
- Own upgrades, capacity management, backup/restore, and DR testing
- Build automation for provisioning, scaling, and lifecycle management
- Identify and ship cost optimizations (rightsizing, storage/compute efficiency)
Drive automation and observability
- Build automation-first solutions that reduce toil and improve system safety
- Improve monitoring, alerting, and observability — anchored to real customer impact
- Establish standardized operational patterns across services and regions
- Support the rollout of SLO-driven reliability practices
Contribute to AI/ML Ops (emerging area)
A complementary part of the role, not the primary focus.
- Support infrastructure and operational needs for AI/ML-powered services in RTCDP
- Shape operational practices for model serving and data pipelines — reliability, scaling, monitoring
- Help land core MLOps patterns where relevant: model deployment workflows, inference observability (latency, errors), data quality and pipeline reliability signals
- Partner with ML and data teams to get AI-driven features production-ready
- Leverage AI-assisted tools (e.g., Copilot, Claude Code, Codex, internal tooling) to accelerate debugging, incident response, and operational workflows
Technical leadership and collaboration
- Operate as a strong IC and technical lead on cross-cutting projects
- Mentor junior engineers and raise team practices
- Partner closely with engineering, infrastructure, and security
- Live the core SRE/DevOps principles: ownership, automation, error budgets, continuous improvement
Why this role is interesting
- Deep involvement in production systems at global scale
- Hands-on ownership spanning operations and datastore platforms
- Exposure to next-generation work: AI/ML systems and AI-assisted engineering
- Direct impact on customer reliability, platform scalability, and cost
- A clear path toward architect-level influence over time
What We’re Looking For
- 6–10 years in SRE, infrastructure, or platform engineering
- Proven track record operating large-scale distributed systems in production
- Strong foundation in datastores, reliability engineering, and automation
- Hands-on experience with Kubernetes and containerized environments, a major cloud (AWS, Azure, or GCP), and modern observability tooling (Prometheus, Grafana, OpenTelemetry, or equivalents)
- Real experience in incident response and driving operational improvements out of it
- Working knowledge of — or genuine interest in — AI/ML systems or MLOps (expertise not required)
- Comfortable with scale, ambiguity, and high ownership
- Strong problem-solving instincts and a bias for action
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 $173,500 -- $331,050 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 $228,600 - $331,050.
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 If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
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.
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Get Access To All JobsTips for Finding AI Engineer Jobs at Adobe
Align your portfolio to Adobe's AI stack
Adobe's AI engineering work centers on generative models, Firefly, and the Sensei platform. Tailor your portfolio and resume to show hands-on experience with large language models, diffusion architectures, or ML pipelines at scale before applying.
Confirm your visa category before interviewing
Adobe sponsors H-1B, E-3, TN, and F-1 OPT across engineering roles, but the right category depends on your nationality and current status. Clarify which visa type applies to you before your recruiter screen so there are no surprises during the offer stage.
Request premium processing during offer negotiation
If your OPT or current status has a tight expiration, ask your Adobe recruiter about premium processing during the offer call. USCIS premium processing targets a 15-business-day adjudication window, which can matter significantly when start date timing is tight.
Target teams filing Labor Condition Applications actively
Before applying, search DOL's LCA disclosure data for Adobe job titles like Machine Learning Engineer or AI Research Scientist to identify which teams and locations are actively sponsoring. Focus applications on those groups to increase your chances of a sponsored offer.
Prepare your specialty occupation documentation early
USCIS requires that H-1B petitions demonstrate a direct connection between your degree field and the AI Engineer role. Gather transcripts, course descriptions, and a clear degree-to-role narrative before Adobe's legal team begins drafting your petition.
Use Migrate Mate to find open AI Engineer roles at Adobe
Sponsored AI Engineer roles at Adobe aren't always flagged clearly on general job boards. Use Migrate Mate to filter Adobe's open positions by visa type so you're only applying to roles where sponsorship is confirmed and available.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for AI Engineers?
Yes, Adobe sponsors H-1B visas for AI Engineer roles. Adobe participates in the annual H-1B lottery each April for candidates who need cap-subject petitions, and it also files cap-exempt petitions where eligible. If you're already in H-1B visa status with another employer, Adobe can file a transfer petition so you can start without waiting for the next lottery cycle.
How do I apply for AI Engineer jobs at Adobe?
Applications go through Adobe's careers portal at adobe.com/careers. Search for AI Engineer, Machine Learning Engineer, or related titles and filter by location. If you want to confirm sponsorship availability before applying, Migrate Mate lists Adobe's open roles with visa sponsorship details, so you can focus your effort on positions where sponsorship is confirmed.
Which visa types does Adobe commonly use for AI Engineer roles?
Adobe uses H-1B for most international AI Engineers, along with E-3 visa for Australian citizens and TN visa for Canadian and Mexican nationals in qualifying roles. F-1 OPT and CPT are used for students and new graduates, and Adobe also supports J-1 visa exchange visitors and EB-2 or EB-3 green card sponsorship for longer-term hires.
What qualifications does Adobe expect for AI Engineer positions?
Most Adobe AI Engineer roles require a bachelor's degree or higher in computer science, electrical engineering, or a directly related field, with hands-on experience in machine learning frameworks like PyTorch or TensorFlow. Roles tied to Firefly and Sensei increasingly favor candidates with generative AI, multimodal model, or large-scale inference experience. Research-track roles often expect a master's degree or PhD.
How do I time my application around visa filing deadlines?
If you need an H-1B and aren't already in status, the cap lottery registration opens in early March each year, with an October 1 start date if selected. That means starting your Adobe job search and interview process by December or January gives your offer enough lead time to make the registration window. E-3 and TN petitions have no annual cap and can be filed year-round.