Proven experience as an Application Architect / Solutions Architect with significant hands-on development responsibility
Experience with publication management systems or research information systems, and familiarity with scholarly metadata standards (DOI, ORCID, MeSH, PubMed or similar)
Strong proficiency in modern programming languages (Java, Python, JavaScript/TypeScript) and hands-on experience with modern architectural patterns (microservices, API-first, event-driven) and containerized environments with CI/CD/DevOps practices
Experience designing and implementing AI/ML capabilities in enterprise applications (NLP-based metadata extraction/enrichment, intelligent classification/matching, workflow automation) with understanding of responsible AI principles (data governance, explainability, privacy)
Requirements:
Architect and hands-on build a ground-up publication management platform supporting bibliographic data, curation workflows, reporting, and integrations; define the overall system architecture across application, data, integration, and security layers
Actively write, review, and maintain production-quality code; set standards and best practices; select and implement modern tech stacks and architectural patterns; design scalable APIs and integration patterns with upstream/downstream systems; optimize data models and persistence for complex metadata and reporting
Design and implement AI-enabled features (metadata enrichment, publication matching, intelligent curation assistance, data validation, workflow automation); collaborate with business analysts, developers, and stakeholders to translate requirements into working solutions; ensure security, governance, privacy, and compliance
Provide architectural guidance while remaining deeply engaged in implementation; lead greenfield development initiatives and phased delivery; collaborate with internal IT, research stakeholders, and governance teams
We are seeking an experienced Hands-On Application/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.
Engagement Details
Expected to serve as both architect and senior developer
Works closely with internal IT, research stakeholders, and governance teams
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.
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.
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.
