{"id":1284124,"url":"https://alion.io/job/adobe-computer-scientist-2-4","title":"Computer Scientist 2","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":88,"open_postings":45,"ghost_share":0,"stale_share":0.489,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-04T01:59:01Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"The Opportunity\nThe Lead Growth & AI Platform Engineer will play a pivotal role in transforming Adobe.com's Growth and Martech Engineering (GME) platform into an AI-first engineering ecosystem. This role sits at the intersection of Full Stack engineering, AI, Martech technology and platform architecture building the next generation of internal engineering platforms that power campaign creation, validation and experimentation at scale. As Adobe shifts toward agentic Customer Experience Orchestration (CXO), this engineer will help design and build the core AI-powered platforms that automate engineering workflows, campaign creation, validation and Martech operations.\nWhat you'll do\nDevelop and build advanced AI-native platforms for Growth Engineering that enable campaign orchestration, experimentation and Martech automation.\nArchitect reusable engineering services and platform capabilities that can be demonstrated across Adobe.com's Growth, Martech and Personalization organizations.\nBuild agentic engineering workflows that automate campaign development, validation, content generation and operational engineering tasks.\nDesign scalable platform APIs, orchestration services and integration layers spanning Adobe Experience Cloud, internal Adobe platforms and AI services.\nLead technical design and implementation of production-grade AI capabilities, including LLM integration, retrieval systems, MCP connectors, agent frameworks and autonomous workflows.\nDrive platform architecture decisions around scalability, observability, reliability, security and maintainability.\nPartner closely with architects, product managers and engineering leaders to define the long-term technical roadmap supporting Growth Engineering.\nWhat you need to succeed\nDevelop production AI systems beyond simple LLM integrations, including orchestration, agent systems, tool calling, structured outputs, retrieval pipelines, evaluation structures and self-directed processes.\nExperience building engineering productivity platforms using AI rather than isolated AI features.\nDeep knowledge of prompt engineering, evaluation, context management, MCP and multi-agent orchestration.\nAbility to evaluate where AI provides measurable engineering leverage versus traditional software solutions.\nStrong system design skills with experience building distributed platforms, orchestration systems or workflow engines.\nExperience designing reusable engineering frameworks and internal developer platforms.\nExperience working with Martech, Personalization or Growth Engineering platforms is highly desirable. Familiarity with Adobe Experience Cloud (AEP, AJO, Target, Analytics, Launch, CJA) is a strong plus.\nDrive technical direction for the Growth and Martech Engineering platform.\nInfluence architectural decisions across engineering organizations.\nMentor senior engineers and establish engineering guidelines around AI-first software development.\nStrong grasp of architecture patterns, event-driven systems and API-first design.\nChampion platform thinking, reusable capabilities and AI-native development practices.\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.","description_format":"text","description_chars":5583,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Document Management","Graphic Design","Office & Productivity Software","Digital Design"],"lifecycle":[{"event":"open","at":"2026-09-26T04:09:24Z"}],"visa":[],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.874,"p_room":1,"age_days":15,"expected_fill_days":51,"reasons":["conf:18","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/adobe-computer-scientist-2-4","json_url":"https://alion.io/job/adobe-computer-scientist-2-4.json","meta":{"generated_at":"2026-10-04T02:16:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3204,"day_limit":5000,"remaining_today":1796,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}