Solutions Architect

We are seeking an experienced /Solutions Architect (Contract) to lead the architecture, design, and hands-on development of a modern publication management system. This role is responsible for defining the technical architecture while also actively contributing code to build a scalable, secure, and extensible platform. The architect will leverage modern technologies and architectural patterns and implement AI-driven capabilities to enhance automation, data quality, and user experience.
Key Responsibilities

• Architect and hands-on build a ground-up publication management platform supporting bibliographic data, curation workflows, reporting, and integrations.
• Define and implement the overall system architecture, including application, data, integration, and security layers.
• Actively write, review, and maintain production-quality code, setting standards and best practices for the development team.
• Select and implement modern technology stacks, frameworks, and architectural patterns.
• Design and develop scalable APIs and integration patterns with upstream and downstream systems
• Build and optimize data models and persistence layers for complex metadata and reporting needs.
• Design and implement AI-enabled features, such as metadata enrichment, publication matching, intelligent curation assistance, data validation, and workflow automation.
• Collaborate closely with business analysts, developers, and stakeholders to translate requirements into working solutions.
• Ensure solutions meet security, governance, privacy, and compliance standards.
• Provide architectural guidance while remaining deeply engaged in implementation through all phases of development.

Required Skills & Experience

• Proven experience as an Application Architect / Solutions Architect with significant hands-on development responsibility.
• Strong proficiency in modern programming languages and frameworks (e.g., Java, Python, JavaScript/TypeScript, or equivalent).
• Hands-on experience with modern architectural patterns, including:
• • Microservices or modular architectures
  • API-first and event-driven design
• Experience with containerized environments, CI/CD pipelines, and DevOps practices.
• Demonstrated ability to design and build data-intensive systems.
• Excellent communication skills and ability to mentor and guide development teams through example.

AI & Advanced Capabilities (nice to have)

• Hands-on experience designing and implementing AI/ML capabilities within enterprise applications.
• Experience with AI use cases such as:
• • NLP-based metadata extraction and enrichment
  • Intelligent classification and matching
  • Workflow automation and decision support
• Understanding of responsible AI principles, including data governance, explainability, and privacy.

Preferred Qualifications

• Experience with publication management systems, research information systems.
• Familiarity with scholarly metadata standards such as DOI, ORCID, MeSH, PubMed, or similar.
• Background in research, healthcare, life sciences, or academic environments.
• Experience leading greenfield development initiatives and phased delivery models.

Engagement Details

• Expected to serve as both architect and senior developer
• Works closely with internal IT, research stakeholders, and governance teams