{"id":1165197,"url":"https://alion.io/job/adobe-ai-engineer-4","title":"AI Engineer 4","company":{"id":26,"name":"Adobe","domain":"adobe.com","url":"https://alion.io/company/adobe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":56,"ghost_share":0,"stale_share":0.536,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":139000,"max":257550,"currency":"USD","period":"year","gross":null,"usd_annual":257550},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Neo4j","optional":false},{"name":"pgvector","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SharePoint","optional":false},{"name":"Slack","optional":false},{"name":"Tool Use","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"Flink","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-28T06:57:39Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"We build the agentic AI platform that Adobe teams use to get real work done - OneAI, our unified intelligence layer, along with the reusable skills, agents, and dashboards that run on top of it. You'll design and ship autonomous agents that connect to enterprise data (Databricks, Jira, Confluence, Slack, SharePoint) and turn natural-language questions into trustworthy, cited answers.\nThis is a hands-on engineering role with room to grow. You'll own components end to end - from prototype to production - and see them adopted across business units. If you enjoy making AI systems that are genuinely reliable, well-governed, and fast, you'll fit in well here.\nWhat you'll do\nBuild and productionize reusable agentic components - skills, orchestration workflows, and tool-calling integrations - that plug into OneAI's intelligence layer (Neo4j + pgvector + Databricks + Claude).\nTake AI models and agents from prototype to production, and keep them healthy once they're live.\nImprove how agents reason: prompt design, memory and context management, retrieval quality, and multi-step tool use.\nTune for latency, reliability, and cost so the platform holds up as more teams rely on it.\nPartner with product managers and data engineers to shape what we build, and share what you learn with the team.\nHelp raise the bar on evaluation - measure solve rates and accuracy, and use what you find to make the agents better.\nWhat you'll bring\nAround 3+ years building AI/ML or backend systems, including some experience running LLM-powered services in production.\nStrong fundamentals in Python and REST APIs.\nFamiliarity with modern AI tooling - frameworks like LangChain or LlamaIndex, and vector databases.\nA habit of measuring quality and iterating, rather than shipping and hoping.\nComfort working with cloud platforms (AWS, GCP, or Azure) and containers (Docker, Kubernetes).\nNice to have\nExperience with event streaming (Kafka, Flink, or Kinesis) and data pipelines (Spark or Databricks).\nExposure to production operations - CI/CD, monitoring, alerting, and incident response.\nInterest in AI governance, safety, or evaluation.\nAbout Adobe\nAdobe 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.\nOur 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.\n\nLet’s Adobe together\nAt 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.\nAdobe 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.\nAdobe 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 .\nAI Use Guidelines for Interviews:\nOur 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.\nAt 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.\nExpected Pay Range:\nOur 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 $139,000 - $257,550 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.\n\nIn California, the pay range for this position is $177,900 - $257,550\nAt 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).\nIn addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.\nState-Specific Notices:\nCalifornia:\nFair Chance Ordinances\nAdobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.\nColorado:\nApplication Window Notice\nIf 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.\nMassachusetts:\nMassachusetts Legal Notice\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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