Solution Architect

4 days ago


Singapur, Singapore Elliott Moss Consulting Pte. Ltd. Full time

We’re seeking a hands-on Solution Architect to lead presales solutioning and oversee delivery for enterprise digital experience platforms, API ecosystems, and AI-enabled applications. You will advise senior stakeholders, craft pragmatic architectures, and guide teams across the full stack to deliver scalable, secure, and business-aligned outcomes. Key Responsibilities Strategic Advisory Partner with senior client stakeholders to shape digital and AI roadmaps. Translate business goals into executable architectures, phasing, and adoption plans. Solution Architecture & Delivery Own end-to-end architecture for CMS/DXP (AEM first), API platforms, and AI-powered solutions. Define reference architectures, integration patterns, SLAs/SLOs, NFRs (scalability, security, performance, resilience). Lead solution handover and provide oversight through discovery, build, test, and go-live. AI-Powered Innovation Identify high-value AI/ML use cases (e.g., content intelligence, personalization, assistants/agents). Integrate AI services, vectors, and guardrails into CMS/API workflows with measurable outcomes. Presales & Proposal Development Co-lead opportunity shaping with business units; run discovery, estimations, and solution workshops. Produce solution narratives, diagrams, BOMs/TCOs, and risk/assumption logs to increase win rates. Contribute thought leadership, accelerators, and reusable assets. Mandatory Skills (Must-Have) Adobe Experience Manager (AEM): architecture, headless/hybrid, content models, dispatcher/CDN, security. API Management: design & governance, security (OAuth2/OIDC/JWT), traffic mgmt, analytics; exposure to Tyk (preferred) and familiarity with Kong/Apigee or similar. Cloud Solutioning: hands-on architecture on AWS / Azure / GCP (landing zones, networking, IAM, observability). Applied AI: practical integration of AI services/agents (prompt flows, orchestration, evaluation, safety). Preferred Skills (Good-to-Have) Magnolia CMS implementation/architecture. API developer portals & analytics, productization, monetization models. AI agent development (tooling, retrieval, evaluation), vector databases, content enrichment workflows. Containers/K8s, CI/CD, Infra-as-Code (Terraform), observability (logs/metrics/traces). Security & compliance (OWASP, CIS, MAS TRM/IM8 concepts). Performance engineering and cost optimization. Technical Breadth Frontend: modern JS frameworks (React/Vue/Next), design systems, accessibility. Backend: Java/.NET/Node.js microservices, integration patterns (event-driven, REST/GraphQL). Data/Integration: messaging (Kafka), ETL/ELT basics for experience/data stitching. Experience & Qualifications 8–12+ years in software/solution engineering, with 4+ years in architecture or principal engineering roles. Proven presales experience: discovery, solutioning, sizing, and proposal defense. Track record delivering enterprise solutions at scale (high availability, security, multi-env CI/CD). Degree in Computer Science/Engineering (or equivalent experience). Relevant certifications (AEM Architect, Azure/AWS Architect, API mgmt) are a plus. Soft Skills Executive-grade communication and storytelling; crisp diagrams and collateral. Ability to simplify complex topics and drive consensus across business, security, and engineering. Collaborative leadership; coaches teams and elevates delivery quality. #J-18808-Ljbffr


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