Principal AI Solutions Architect

United Biosource Corporation • All Virtual Locations, Home Based Position, USA, Remote, US,

2d • Remote

About The Position

Join UBC’s AI Center of Excellence as the Principal AI Solutions Architect, where you will define the technical architecture, engineering patterns, and implementation approach for reusable AI capabilities across the enterprise. You will establish how AI capabilities are designed, built, deployed, integrated, monitored, secured, and reused across business systems while partnering with the application, platform, infrastructure, data, DevOps, and security teams to ensure reusable AI capabilities align with enterprise architecture, operational standards, and business needs. As the senior technical leader for AI solution architecture, you will define how reusable capabilities are integrated, deployed, scaled, monitored, secured, and supported within UBC’s enterprise technology environment. This is a hands-on architecture role that combines deployment and platform design, implementation guidance, technical review, and direct contribution to solution design and delivery.

Requirements

• Bachelor’s degree in computer science, software engineering, computer engineering, information systems, or a related technical discipline, or equivalent practical experience.
• 10+ years of experience in software engineering, solution architecture, platform engineering, Dev Ops, or related technical roles.
• 4+ years of experience designing and implementing AI, machine learning, cloud-native, data-intensive, or distributed enterprise solutions.
• Significant experience designing, deploying, and supporting production applications, services, or platforms.
• Experience defining architectural standards, deployment strategies, and engineering practices across multiple delivery teams.
• Experience providing technical leadership and architectural guidance without direct supervisory responsibility.
• Deep understanding of modern AI systems, including large language models, retrieval-augmented generation, AI agents, orchestration, tool integration, structured outputs, human review, and workflow integration.
• Strong software engineering background with experience designing cloud-native architectures, APIs, containers, CI/CD, deployment automation, DevOps, and production operations.
• Experience integrating reusable capabilities with enterprise applications, workflow platforms, identity services, APIs, messaging systems, and data platforms.
• Strong understanding of secure architecture principles, identity and access management, data protection, observability, audit logging, resiliency, and operational controls.
• Ability to establish technical direction, reusable engineering patterns, architecture standards, and deployment approaches that support scalable enterprise AI.
• Knowledge of structured and unstructured data, retrieval patterns, vector search, semantic retrieval, data movement, lineage, and access controls.
• Ability to connect technical decisions to enterprise architecture, long-term reuse, scalability, and business strategy.
• Advanced ability to resolve complex architecture and engineering challenges through practical and maintainable solutions.
• Ability to communicate architectural concepts, tradeoffs, and recommendations clearly to executives, engineers, scientists, architects, and business stakeholders.
• Ability to work effectively across Product Management, AI Science, Application Development, Platform Engineering, DevOps, Security, Data, Quality, and business teams.
• Ability to evaluate emerging technologies and evolve architectural direction while maintaining engineering discipline and operational reliability.

Nice To Haves

• Master’s degree preferred.
• Experience with Azure AI, Azure OpenAI, Snowflake Cortex AI, LangGraph, Model Context Protocol (MCP), or comparable enterprise AI technologies.
• Experience using Claude Code, GitHub Copilot, Cursor, or similar agentic development tools.
• Experience with workflow orchestration or business-process automation platforms such as Camunda or similar technologies.
• Experience working in healthcare, life sciences, clinical research, pharmacovigilance, patient access, or another regulated industry.
• Familiarity with GxP, 21 CFR Part 11, HIPAA, GDPR, software validation, or other regulated-system expectations.

Responsibilities

• Serve as the principal technical authority for AI solution and deployment architecture and provide architectural guidance across the Enterprise AI Center of Excellence and delivery teams.
• Define the technical structure, interfaces, dependencies, controls, and operational requirements needed for reusable AI capabilities to be integrated and deployed consistently.
• Design end-to-end AI solutions and work with application, platform, infrastructure, data, and engineering teams to integrate AI capabilities into enterprise applications and workflows.
• Establish reference architectures, engineering patterns, and technical standards that promote security by design, consistency, reuse, maintainability, and alignment with enterprise architecture.
• Contribute directly to proof-of-concept and production-oriented AI solutions, deployment patterns, and technical components that accelerate delivery and establish sound engineering practices.
• Review solution designs and implementations, provide technical guidance, and work with application, platform, DevOps, security, and delivery teams to enable effective deployment and operation of AI capabilities.
• Define how AI capabilities are deployed, configured, scaled, versioned, monitored, released, rolled back, supported, and managed across their lifecycle in partnership with platform, DevOps, security, and operational teams.
• Evaluate emerging technologies and provide technical input into capability sourcing, adoption decisions, and the enterprise AI architecture and capability roadmap.

Benefits

• Competitive salaries
• Growth opportunities for promotion
• 401K with company match
• Tuition reimbursement
• Flexible work environment
• Discretionary PTO (Paid Time Off)
• Paid Holidays
• Employee assistance programs
• Medical, Dental, and vision coverage
• HSA/FSA
• Telemedicine (Virtual doctor appointments)
• Wellness program
• Adoption assistance
• Short-term disability
• Long-term disability
• Life insurance
• Discount programs

What This Job Offers

• Job Type: Full-time
• Career Level: Principal