Hiring.Camp

Multi Solution Architect

Adobe

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Location
Singapore
Type
Full-time
Department
Engineering
Source
Workday

Description

The Opportunity

As a Multi-Solution Architect, you will be the senior technical authority across our Adobe Experience Cloud engagements, setting architecture direction and delivery standards across all Adobe projects, not just one. You will advise enterprise clients in banking, telco, airlines, hospitality, and retail on designing, delivering, and adopting MarTech solutions across Adobe Experience Platform, Real-Time CDP, Journey Optimizer, Campaign, Experience Manager, Analytics, and Target. 


You will also lead how AI is used in delivery, using generative assistants and agentic workflows to accelerate design, documentation, and enablement, and building AI-driven decisioning into the solutions we deliver. 

 

What You’ll Do

  • Provide technical leadership across multiple concurrent Adobe projects, ensuring architectural consistency, quality, and on-time delivery. 
  • Run architecture governance, including design reviews, solution assurance, risk assessments, and go-live readiness checks. 
  • Step into at-risk engagements to stabilize and recover delivery, targeting zero-escalation go-lives. 
  • Own end-to-end architecture for complex programs spanning CDP, journey orchestration, campaign, content, analytics, and personalization. 
  • Translate industry marketing strategy into data models, identity and segmentation strategies, decisioning frameworks, and personalization use cases clients can operationalize. 
  • Embed AI tools (co-pilots, LLM assistants, prompt-driven automation) across the delivery lifecycle, and design agentic solutions such as intelligent monitoring, anomaly detection, and next-best-action decisioning. 
  • Guide clients on responsible AI adoption, including governance, privacy, and consent. 
  • Lead workshops and hands-on enablement so client teams can extend, operate, and get lasting value from what we build. 
  • Act as a trusted advisor from technical leads to C-suite, surfacing risks early and steering through ambiguity. 
  • Mentor architects and consultants, contribute to pre-sales and RFP solutioning, and build reusable accelerators, reference architectures, and AI-enabled playbooks. 
  • Identify opportunities to deepen Adobe adoption and expand client engagements. 

What You Need to Succeed

  • 15+ years of hands-on consulting experience delivering enterprise SaaS or MarTech solutions, with deep expertise across the Adobe Experience Cloud stack. 
  • Proven technical leadership across multiple concurrent programs, including architecture governance and delivery recovery. 
  • Track record of owning enterprise-scale architecture end-to-end and resolving ambiguous requirements and cross-team trade-offs. 
  • Deep marketing domain expertise in at least one vertical: banking, telecommunications, airlines, hospitality, or retail. 
  • Hands-on experience applying AI-powered tools to accelerate delivery, and working knowledge of machine learning and agentic AI concepts. 
  • Experience mentoring architects and contributing to pre-sales or RFP solutioning. 
  • Excellent stakeholder management, workshop facilitation, and communication skills, with the presence to guide executives and engineers alike. 
  • Bachelor’s degree required; a Master’s in Data Science, Machine Learning, or a related field is a plus. 
  • Travel up to 50%. 

Bonus Experience 

  • Designing agentic AI or autonomous monitoring solutions for MarTech environments. 
  • Advanced use of AI coding assistants, prompt engineering, or LLM-driven workflow automation. 
  • Experience with data pipelines, event streaming (Kafka, Kinesis), or ETL/ELT tools. 
  • Adobe certifications (e.g., AEP, AJO, Real-Time CDP). 

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].


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.

 

Skills

Machine LearningData ScienceETL

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