Principal AI Solutions Architect

🕒 August 28

🌐 United Kingdom, France – Remote

🇬🇧 United Kingdom – Remote 🇫🇷 France – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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UBC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🏥 Healthcare

💼 Consulting

🧬 Biotechnology

Healthcare • Consulting • Biotechnology

UBC is a company dedicated to improving patient outcomes by connecting specialty therapies to patients in need. They provide modern and customized solutions focusing on access, safety, and evidence generation for biopharmaceutical products. UBC specializes in evidence development, risk management, and patient access, utilizing real-world data and innovative technologies to optimize the healthcare journey and ensure effective medication use.

📋 Description

• Serve as the principal technical authority for AI solution and deployment architecture • Provide architectural guidance across the Enterprise AI Center of Excellence and delivery teams • Define the technical structure, interfaces, dependencies, controls, and operational requirements for reusable AI capabilities • Design end-to-end AI solutions and integrate AI capabilities into enterprise applications and workflows • Establish reference architectures, engineering patterns, and technical standards promoting security, consistency, reuse, maintainability, and enterprise alignment • Contribute directly to proof-of-concept and production-oriented AI solutions, deployment patterns, and technical components • Review solution designs and implementations and provide technical guidance for deployment and operation • Define deployment, configuration, scaling, versioning, monitoring, release, rollback, support, and lifecycle management approaches • Evaluate emerging technologies and provide input on capability sourcing, adoption decisions, and the enterprise AI architecture and capability roadmap • Partner with application, platform, infrastructure, data, DevOps, security, operational, delivery, product, science, quality, and business teams

🎯 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, DevOps, 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 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 • Knowledge of structured and unstructured data, retrieval patterns, vector search, semantic retrieval, data movement, lineage, and access controls • Preferred experience with Azure AI, Azure OpenAI, Snowflake Cortex AI, LangGraph, Model Context Protocol (MCP), or comparable enterprise AI technologies • Preferred experience using Claude Code, GitHub Copilot, Cursor, or similar agentic development tools • Preferred experience with workflow orchestration or business-process automation platforms such as Camunda • Preferred experience 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 • Ability to connect technical decisions to enterprise architecture, long-term reuse, scalability, and business strategy • Advanced ability to resolve complex architecture and engineering challenges • Ability to communicate architectural concepts, tradeoffs, and recommendations clearly to executives, engineers, scientists, architects, and business stakeholders • Ability to collaborate 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

🏖️ Benefits

• Equal opportunity employer • Diverse, equitable, and inclusive culture • Career growth opportunities • Meaningful work improving patient outcomes and advancing healthcare