
Posted 1 month ago
Solution Architect
AI Summary
Defines end-to-end technical architecture for AI, document intelligence, workflow, and integration solutions; translates business requirements into scalable designs and guides engineering teams on standards and implementation.
About this role
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Solution Architect to join our innovative and dynamic team.
Solution Architect | About You
As a Solution Architect, you will define the overall technical architecture supporting document intelligence, AI-driven decisioning, workflow management, and enterprise integrations. You will translate business capabilities into scalable technical solutions and ensure consistency across AI, data, application, integration, and security domains.
Solution Architect | Day-to-Day
- Define end-to-end solution architecture spanning AI, workflow, integration, analytics, database, and cloud platforms.
- Partner with business and product stakeholders to translate requirements into scalable solution designs.
- Guide engineering teams on architecture standards, design patterns, and implementation approaches.
- Review technical designs, data models, API contracts, and integration strategies.
- Support backlog refinement and technical decomposition activities.
- Ensure solutions align with performance, scalability, security, and operational requirements.
Solution Architect | Skills & Experience
- 10+ years of software engineering and architecture experience.
- Strong expertise in enterprise application architecture, APIs, integration frameworks, and cloud platforms.
- Experience supporting AI, document processing, workflow orchestration, and analytics solutions.
- Knowledge of Azure, AWS, Kubernetes, microservices, and distributed systems.
- Strong stakeholder management and technical leadership skills.
Skills
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