[Hiring] Enterprise Architect, AI and Platform Engineering @EDETEK

Role Description

The Enterprise Architect, AI and Platform Engineering is responsible for defining, governing, and evolving EDETEK’s end-to-end enterprise architecture across AI, data, platform engineering, and product ecosystems. This role provides architectural leadership and technical direction to ensure that all platforms, products, and shared services align with business strategy, regulatory requirements, and long-term scalability goals. This individual will serve as the architectural authority across AI, cloud, data, and application domains, ensuring coherence across product lines while enabling innovation and rapid delivery. The ideal candidate brings strong experience in enterprise and solution architecture within regulated life sciences environments, with hands-on exposure to AI-enabled platforms and cloud-native systems.

Responsibilities

• Enterprise Architecture Strategy and Governance
  • Define and maintain the enterprise architecture vision across applications, platforms, data, and AI capabilities.
  • Establish architectural principles, standards, and reference architectures that guide AI and platform engineering initiatives.
  • Ensure alignment between business strategy, product roadmaps, and technology investments.
  • Lead architectural governance, reviewing designs for compliance, scalability, security, and maintainability.
• AI and Platform Architecture Oversight
  • Provide architectural oversight for AI platforms, data pipelines, and machine learning lifecycle components.
  • Define target architectures for AI enablement, including data ingestion, feature management, model training, inference, deployment, and monitoring.
  • Partner with AI, data science, and platform engineering leaders to ensure consistency across MLOps, data platforms, and shared services.
  • Guide adoption of modern architectural patterns including microservices, event-driven systems, service mesh, and API-first platforms.
• Cloud, Data, and Integration Architecture
  • Define cloud architecture standards for AWS-based SaaS platforms, including networking, identity, access management, security, resiliency, and disaster recovery.
  • Architect enterprise-scale data platforms supporting analytics, reporting, and AI workloads.
  • Establish integration and interoperability patterns across internal platforms, partner systems, and customer environments.
  • Ensure architectural decisions balance scalability, performance, cost optimization, and operational excellence.
• Product and Engineering Alignment
  • Partner closely with Product Management, Platform Engineering, and Delivery teams to translate product requirements into scalable, reusable architectures.
  • Ensure architectural consistency and reuse across multiple products and shared services.
  • Support solution architecture for strategic customer initiatives and complex enterprise deployments.
  • Influence build versus buy decisions for platforms, tools, cloud services, and AI capabilities.
• Compliance, Security, and Quality Architecture
  • Ensure enterprise architectures comply with regulatory and quality standards including 21 CFR Part 11, GxP, HIPAA where applicable, and global data privacy requirements.
  • Embed security, auditability, validation, and traceability principles into architectural standards and solution designs.
  • Support responsible AI practices by ensuring governance, explainability, and model traceability are addressed at the architectural level.
  • Work closely with security, QA, and compliance leaders to maintain audit-ready platforms.
• Technology Roadmapping and Thought Leadership
  • Maintain multi-year enterprise architecture roadmaps aligned with EDETEK’s growth and product strategy.
  • Evaluate emerging technologies across AI, cloud, data platforms, and developer tooling for relevance, risk, and ROI.
  • Act as a trusted architectural advisor to executive leadership and senior stakeholders.
  • Mentor enterprise, solution, and platform architects across the organization.

Qualifications

• 12 plus years of experience in enterprise architecture, solution architecture, or large-scale platform architecture roles.
• Strong experience in Life Sciences, particularly Clinical Development, R&D, or regulated healthcare and clinical data environments.
• Proven expertise in designing and governing cloud-native architectures on AWS at enterprise scale.
• Experience architecting AI-enabled, data-intensive, or analytics-driven platforms deployed in production.
• Strong understanding of distributed systems, integration patterns, data architecture, and security architecture.
• Experience working with product and engineering teams operating in agile delivery models.
• Bachelor's or Master's degree in computer science, Engineering, or a related field.

Preferred Qualifications

• AWS Advanced AI and general certifications.
• Experience defining and governing MLOps and AI platform architectures.
• Familiarity with clinical data standards such as CDISC and regulated software validation practices.
• Hands-on technical background with technologies such as Python, Java, .NET, Spark, PostgreSQL, and AWS-native services.
• Experience with enterprise integration platforms, API management, and event streaming technologies.
• Prior experience serving as an architectural review board member or design authority.

Benefits

• Choice of comprehensive Medical, Vision and Dental Insurance plans.
• Paid vacation time and sick days.
• Corporate holidays annually.
• Participation in the 401K Plan.
• Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc.
• Health Advocate and Employee Assistance Program.