Fast Facts
The Solution Architect role is a remote position focused on leading the technical architecture and integration of multiple enterprise platforms including Salesforce, Netsuite, and Workday, with an emphasis on AI and ML capabilities.
Responsibilities: Key responsibilities include designing technical solutions, leading system integration strategy, architecting AI/ML capabilities, creating technical documentation, collaborating cross-functionally, and mentoring junior staff.
Skills: Required skills include deep architectural knowledge of Salesforce and another major platform, hands-on experience with Mulesoft, and strong communication skills.
Qualifications: Preferred qualifications include a Bachelor’s degree in a related field, 7+ years of architectural experience, and relevant certifications in Salesforce or Mulesoft.
Location: This is a remote job open to candidates in the US only.
Compensation: $150000 - $170000 / Annually
Remote positions open in the US office only.
The Solution Architect acts as the key technical leader bridging business needs and engineering execution, specializing in integrating and optimizing a multi-platform environment including Salesforce, Netsuite, Workday, and Mulesoft. This role requires deep expertise in enterprise architecture, system integration, data governance, and the strategic application of Artificial Intelligence and Machine Learning features native to or integrated with these platforms.
Responsibilities:
- Solution Design & Architecture: Design end-to-end technical solutions that meet business requirements, ensuring scalability, reliability, and security across the entire application landscape.
- System Integration Leadership: Lead the architectural strategy for integrating key business applications, including Salesforce (CRM), Netsuite (ERP), Workday (HCM/Finance), and leveraging Mulesoft for enterprise-level integration and API management.
- AI/ML Architecture: Architect and govern the strategic implementation and integration of AI/ML capabilities within core SaaS platforms (e.g., Salesforce Einstein, Workday AI), ensuring data readiness, governance, and ethical application of models for predictive analytics and automation.
- Technical Documentation: Create and maintain comprehensive technical documentation, including architecture diagrams, data flow maps, integration specifications, and solution blueprints.
- Cross-Functional Collaboration: Partner effectively with Product Managers, Delivery teams, and Business Stakeholders to translate strategic initiatives into concrete, actionable technical designs.
- Research and evaluate new technologies and tools to enhance the existing architecture and drive innovation across the organization.
- Participate in security reviews and compliance audits related to system architecture and data flow.
- Mentor junior technical staff on architectural best practices and system complexities.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 7 years of experience in an architectural role, with significant experience in a high-growth SaaS or technology environment.
- Proven expertise in designing and implementing complex integrations between multiple enterprise SaaS applications.
- Core Technical & Architectural Skills
- Deep architectural knowledge of Salesforce and at least one other major platform (Netsuite or Workday).
- Hands-on experience with an integration platform as a service (Mulesoft preferred) and API-led connectivity principles.
- Strong understanding of data modeling, security, governance, and the architectural principles required to support AI/ML initiatives within a SaaS application ecosystem.
- Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical audiences.
- Bonus Points If You Have:
- Certifications in relevant platforms (e.g., Salesforce Certified Technical Architect, Mulesoft Certified Developer/Architect).
- Demonstrated experience architecting solutions that leverage native AI features of SaaS platforms (e.g., Salesforce Einstein, Workday AI) or integrating external AI/ML services via a platform like Mulesoft.
- Familiarity with agile development methodologies and DevOps practices.
The base pay for this position ranges from $150,000 - $170,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above.
We will accept applications until 3/05/2026.
