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    Job · 15008498

    eClinical Solutions logo

    Principal Software Architect

    eClinical Solutions · Remote · remote · Posted 50d ago

    Not disclosed10+ yrsfulltimeSourced fromGreenhouse

    About a minute. You'll make an account on the way through.

    About this role

    About eClinical Solutions

    eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes.

    Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it.

    You will make an impact: 

    The Principal Software Architect will lead the design and evolution of AI-enabled software platforms, helping translate business and product needs into scalable, secure, and responsible technical solutions. This role partners closely with software engineers, product teams, data specialists, and business stakeholders to identify opportunities for AI, guide architecture decisions, review implementations, and mentor teams on modern engineering practices, AI-assisted development, and sound design principles.  

    Your day to day: 

    Research emerging AI, machine learning, generative AI, cloud, and software architecture technologies and evaluate their fit for the product platform  

    Analyze existing features, data flows, and system designs for scalability, performance, security, and AI-readiness in order to design and recommend solutions  

    Document current and future architectural patterns, including AI integration patterns, model lifecycle considerations, data governance, observability, and responsible AI guardrails  

    Communicate complex AI, data, and architecture concepts clearly to technical and cross-functional colleagues  

    Define reference architectures for AI-enabled capabilities, including data ingestion, retrieval-augmented generation, model integration, inference services, monitoring, and human-in-the-loop workflows  

    Promote responsible AI practices, including privacy, security, explainability, bias mitigation, regulatory awareness, and appropriate use of enterprise data  

    Guide teams in the effective use of AI-assisted engineering tools to improve productivity, code quality, documentation, testing, and delivery velocity  

    AI & Modern Engineering Focus

    We’re actively incorporating AI-powered capabilities into our platform, and you’ll help shape how this is done responsibly and effectively in an enterprise environment. This includes:

    Integrating LLMs and AI services into .NET- and Python-based systems

    Designing and implementing AI-assisted workflows , copilots, or intelligent automation features

    Working with agentic AI patterns (e.g., task orchestration, tool-using agents, workflow automation)

    Applying prompt engineering, evaluation techniques, and guardrails to ensure reliability and compliance

    Collaborating with data and platform teams to operationalize AI—not just prototype it

    Deep ML expertise is not required —we’re looking for strong engineers who understand how to apply AI capabilities in real products .

    Take the first step toward your dream career.  Here is what we are looking for in this role. 

     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

    Employees are expected to appropriately leverage company-approved AI tools to improve productivity and quality while adhering to company policies, protecting confidential information, validating AI-generated content, and exercising sound professional judgment. AI is intended to augment—not replace—professional judgment, critical thinking, accountability, and decision-making. Accountability for all work remains with the employee.

    Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

    eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/

    eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

    We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

    #LI-AB1

    Pay Range 

    US Pay Ranges $168,000 — $210,000 USD

    Sourced from greenhouse

    Skills

    Prompt EngineeringMLOpsamazon web servicesDot Net CorePythonMicrosoft AzureSystem DesignGenerative AiMachine Learning

    About eClinical Solutions

    eClinical Solutions logo

    eClinical Solutions

    Data and Analytics

    164

    employees

    2006

    20 years old

    Mansfield, Massachusetts

    United States

    About

    eClinical Solutions is a data intelligence hub.it transforms the way clinical data integration, aggregation, and analytics.

    Industries

    Data and AnalyticsHealth CareInformation TechnologyOtherSoftware

    Employee ratings

    57 reviews

    3.1/ 5

    Culture

    3.5

    Career growth

    2.4

    Work-life

    3.5

    Employees rate it well for

    Work Life Balance10Learning6Senior Management4Office Politics4

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