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Enterprise Architect, AI and Platform Engineering

2 weeks, 6 days ago
United States
Full-time
Lead
Solutions Architect
Software Development
Agile Apache Spark AWS HIPAA Java Microservices MLOps .NET PostgreSQL Python
Apply Now
EDETEK

EDETEK

EDETEK Inc. is a premier provider of digital clinical trial systems, offering innovative solutions to streamline data collection and analysis for pharmaceutical and biotech companies.

Internet Software & Services
51-250
Founded 2009
View All Jobs 9

Description

  • Define and maintain the enterprise architecture vision across applications, platforms, data, and AI capabilities.
  • Establish architectural principles, standards, and reference architectures for AI and platform engineering initiatives.
  • Lead architectural governance by reviewing designs for scalability, security, compliance, and maintainability.
  • 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, deployment, inference, and monitoring.
  • Partner with AI, data science, and platform engineering leaders to align MLOps, data platforms, and shared services.
  • Define cloud architecture standards for AWS-based SaaS platforms, including networking, IAM, security, resiliency, and disaster recovery.
  • Architect enterprise-scale data platforms and integration patterns across internal systems, partner systems, and customer environments.
  • Partner with Product Management, Platform Engineering, and Delivery teams to translate product requirements into scalable architectures.
  • Support solution architecture for strategic customer initiatives and complex enterprise deployments.
  • Maintain multi-year enterprise architecture roadmaps aligned with business and product strategy.
  • Evaluate emerging technologies and advise executive leadership on architectural direction and build-versus-buy decisions.

Requirements

  • 12+ 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 in agile delivery models.
  • Bachelor's or Master's degree in computer science, Engineering, or a related field.
  • AWS Advanced AI and general certifications preferred.
  • Experience defining and governing MLOps and AI platform architectures preferred.
  • Familiarity with clinical data standards such as CDISC and regulated software validation practices preferred.
  • Hands-on technical background with Python, Java, .NET, Spark, PostgreSQL, and AWS-native services preferred.
  • Experience with enterprise integration platforms, API management, and event streaming technologies preferred.
  • Prior experience serving as an architectural review board member or design authority preferred.

Benefits

  • Competitive benefits package that varies by country.
  • Choice of comprehensive Medical, Vision, and Dental Insurance plans for U.S. employees.
  • Paid vacation time and sick days.
  • Corporate holidays annually.
  • Participation in the 401(k) Plan.
  • Perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, and more.
  • Health Advocate and Employee Assistance Program.
  • Remote position open to candidates based in the United States.

Interested in this position?

Apply directly on the company website

Apply Now

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