Lead Enterprise Architect

Glocomms is partnering with a innovative organization to bring on a strategic and hands-on levels, this leader sets architectural direction across cloud, data, application, and AI domains while enabling modern delivery practices and rapid innovation. The ideal candidate has built and governed large-scale architectures in regulated life sciences or healthcare environments and brings practical experience with cloud-native and AI-driven systems in production.

What You'll Own

Enterprise Architecture Leadership

Establish and continuously refine the organization's enterprise architecture vision across platforms, applications, data, and AI.Define durable architectural guardrails, standards, and blueprints to guide engineering teams.Ensure technology initiatives are aligned with business priorities and future-state product strategy.Chair or guide architecture reviews to validate designs against requirements for security, scalability, resilience, and operability.

AI & Data Platform Design

Provide architectural leadership for AI and analytics platforms, including data pipelines and model lifecycle infrastructure.Design end-to-end AI architectures covering ingestion, feature engineering, training, deployment, inference, and monitoring.Collaborate with platform engineering, data science, and AI teams to ensure shared services and MLOps capabilities are consistent and reusable.Promote modern system design patterns such as loosely coupled services, event-driven architectures, and API-led integration.

Cloud & Integration Architecture

Define cloud architecture frameworks for AWS-hosted SaaS products, including identity, networking, security controls, observability, and disaster recovery.Architect scalable data environments that support operational reporting, advanced analytics, and machine learning workloads.Set interoperability and integration patterns connecting internal systems, external partners, and customer environments.Balance performance, elasticity, cost efficiency, and reliability in architectural decision-making.

Product & Delivery Enablement

Translate product vision and roadmap initiatives into extensible platform architectures.Drive architectural reuse across multiple products and shared foundational services.Support complex customer deployments and strategic initiatives with solution-level guidance.Influence technology selection decisions across cloud services, tooling, platforms, and AI solutions.

Trust, Compliance & Responsible Technology

Ensure architectural approaches meet applicable regulatory, quality, and data protection requirements across global markets.Integrate security-by-design, audit readiness, traceability, and validation principles into architecture standards.Enable responsible use of AI by embedding governance, transparency, and model accountability into platform designs.Partner with security, compliance, and quality functions to sustain validated, inspection-ready systems.

Strategy & Thought Leadership

Define long-range architectural roadmaps aligned with organizational growth and platform evolution.Assess emerging technologies across AI, cloud infrastructure, data platforms, and developer tooling.Advise senior leadership on architectural risks, opportunities, and trade-offs.Coach and mentor architects and senior engineers across teams.

Required Experience

10+ years in enterprise, solution, or platform architecture roles supporting complex systems.Extensive experience in life sciences, clinical research, or regulated healthcare technology environments.Proven success designing AWS-based, cloud-native platforms at enterprise scale.Hands-on experience delivering AI-enabled or data-heavy platforms into production.Strong background in distributed systems, data modeling, security architecture, and enterprise integration.Experience collaborating within agile or product-led engineering organizations.Bachelor's or Master's degree in Computer Science, Engineering, or equivalent discipline.

Preferred Experience

AWS certifications, including advanced or AI-focused credentials.Experience defining MLOps frameworks and AI platform governance.Working knowledge of clinical data models, regulated validation processes, or industry standards.Technical fluency with languages and frameworks such as Python, Java, .NET, Spark, relational databases, and AWS managed services.Experience with APIs, event-streaming, and enterprise integration tooling.Previous participation in architecture councils or formal design authority roles.

Imediate Impact

Architect the platforms powering next-generation clinical and R&D technology.Influence how AI and data are responsibly applied in highly regulated environments.Partner directly with leadership on long-term technical and platform strategy.Join a mission-driven organization advancing scientific outcomes and patient care worldwide.

Benefits Snapshot (U.S.)

Medical, dental, and vision coverage optionsPaid time off and company holidays401(k) participationEmployee wellness, discount, and assistance programs