The Solution Architect is responsible for designing and delivering technology solutions that meet business needs while adhering to enterprise standards.
They translate conceptual and logical architectures into implementable physical designs, ensuring solutions are secure, compliant, and scalable.
This role partners closely with analysts, engineers, vendors, and business stakeholders to ensure design integrity from planning through implementation.
7 years of experience.
Core Job Responsibilities:
Design and document physical solution architectures for assigned projects
Define integration, data, and deployment models
Ensure compliance with enterprise standards, ARB governance, and regulatory requirements
Collaborate with BAs, engineers, and security/infrastructure teams
Guide development and validate solutions against design
Maintain architecture documentation and reusable patterns
Participate in post-implementation reviews and lessons learned
Core Competencies:
Strong technical depth across application, data, and integration design
Awareness of cross-domain interactions and dependencies
Delivery-focused with attention to timelines and quality
Excellent communication across business and technical audiences
Compliance, risk, and security awareness
Analytical thinking and problem-solving
Skills & Requirements
Creation of documentation is crucial for this role.
Supporting things from an advisory standpoint.
Must have experience with AT LEAST one of the following: AI / Generative AI / Machine Learning / simulation applications.
Must have 7+ years of experience; if a candidate has more years of experience, wants to make sure they're "polished" and "at the top of their game".