greenhouse
Principal Software Architect
eClinical Solutions
USA
Senior · 10+ years experience
USD 168000-210000 / year
Discovered 1 weeks ago
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Qualifications
- 10+ years in web application development, service-oriented architecture, cloud-native platforms, and AI-enabled application design preferred
- 10+ years in full-stack enterprise application development roles, with experience integrating AI, automation, analytics, or data-driven capabilities preferred
- 10+ years leading Software Engineering teams, including mentoring architects and engineers on AI adoption, architectural trade-offs, and modern delivery practices preferred
- Professional Skills
- Demonstrate ability to evaluate new technologies, including AI platforms and frameworks, and present comparative analysis of benefits, risks, costs, and implementation considerations
- Strong problem-solving abilities
- Excellent written and verbal communication skills
- Ability to influence technical strategy across product, engineering, security, data, and business stakeholders while advocating for responsible and practical AI adoption
Technical Skills
- Mastery level of software architecture and design, with strong understanding of AI-enabled system design patterns
- Deep understanding of Microsoft.NET and modern application integration patterns for AI-enabled services
- Expert level in relational and non-relational database design, data modeling, and data architecture for analytics and AI use cases
- Experience with enterprise applications in a SaaS Cloud Environment (AWS, Azure, etc.), including scalable deployment patterns for AI, ML, and data-intensive workloads
- Knowledge of AWS products and deployment, with familiarity in cloud AI services, model hosting, automation, monitoring, and secure integration patterns
- Familiarity with AI/ML concepts such as model lifecycle management, prompt engineering, retrieval-augmented generation, evaluation frameworks, observability, and MLOps practices
- Understanding of responsible AI, enterprise data protection, privacy, security, compliance, and governance considerations for production AI systems
- AI Use Statement
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