Sr. AI Architect - Enterprise (US)

Description

This is a remote role for a teleworker based in the US, and it includes regular travel.

The company connects, protects, analyzes and acts on customer data and applications across edge and cloud environments.

The senior AI Architect works with customers in the Advisory and Professional Services group and leads architecture strategy and governance for AI-enabled solutions.

The role bridges a customer's strategic goals and the company's technical vision, turning complex needs into scalable AI solutions that meet national, regulatory and organizational sovereignty standards.

The ideal person pairs deep AI/ML systems architecture skill with strong customer-facing ability and the confidence to guide senior stakeholders through critical decisions. You will define reference architectures and drive solution design so sovereign AI offerings meet high standards for data privacy, security, performance and operational resilience.

Responsibilities

• Lead end-to-end architecture for sovereign AI deployments, keeping them compliant with data residency, privacy and regulatory rules.
• Design scalable, secure and robust AI/ML reference architectures covering model lifecycle, data pipelines, inference infrastructure and governance.
• Assess and choose technologies, cloud and on-prem infrastructure and tooling that fit sovereignty and risk constraints.
• Oversee architecture across implementation teams so work matches enterprise standards and risk mitigation plans.
• Identify, assess and manage risk across the full AI solution lifecycle.
• Build governance frameworks that apply responsible AI principles, auditability and continuous risk monitoring.
• Work with security, compliance and legal teams to meet sovereignty mandates and enterprise risk frameworks.
• Build security and risk considerations into architecture, deployment and operations from the start.
• Write architecture documents, diagrams and governance frameworks for AI model development, deployment and monitoring.
• Apply security-by-design to every AI component, including encryption, access control, auditing and safe model operation.
• Work with engineering, security, compliance and product teams to keep the architecture intact during delivery.
• Lead technical reviews and help resolve architecture and integration issues.
• Act as a trusted advisor to C-suite executives, technical leaders and regulators on sovereign AI strategy, running workshops, discovery sessions and technical deep-dives.
• Turn complex customer requirements into practical architectures and solution roadmaps.
• Explain architecture decisions and recommendations to executives, delivery teams, security staff, product engineers and customers.
• Keep close alignment with several internal company functions.
• Track global developments in sovereign AI, regulation, digital sovereignty and AI risk management.
• Contribute to thought leadership through whitepapers, presentations and technical guidance.
• Represent architectural excellence across regions, sharing knowledge with regional teams.
• Mentor and develop solution and enterprise architects to build skill, consistency and technical depth across locations.

Requirements

• Proven experience deploying and configuring enterprise Kubernetes such as Rancher RKE2, Red Hat OpenShift or CNCF Kubernetes.
• 5+ years of hands-on Linux experience.
• Working knowledge of SLURM on Kubernetes frameworks such as Slinky or SUNK.
• Proven experience with Ansible automation.
• Working knowledge of using REST APIs for product integrations.
• Working knowledge of HPC architectures, network topologies and high performance storage platforms.
• Working knowledge of NVIDIA AI Enterprise tools, specifically BCM and DCGM for deployment and management.
• Optional: experience with sovereign cloud, MLOps or compliance-led AI deployments.
• Optional: familiarity with EU AI Act, GDPR, HIPAA, FedRAMP, CJIS or similar frameworks.
• Optional: background in professional services, consulting or large-scale transformation programs.
• Optional: experience building a new sales motion or launching a net-new offering.

Conditions

Remote position for a teleworker based in the US, with regular travel required.

Annual base and target sales pay in the US is USD 183,000 to 378,000 in California and New York, and USD 161,000 to 378,000 in Georgia, North Carolina and Texas, depending on location, experience, education and skill level.

The range is the total base and target sales compensation paid at 100% of the sales plan, split 80% base and 20% target sales pay.

The company is an equal opportunity employer and considers applicants without regard to protected characteristics.

Benefits

• Health and wellbeing benefits covering physical, financial and emotional health.
• Career development programs, including paths to become a subject expert or move into another division.
• Flexibility to manage work and personal needs.