SC Cleared Lead AI Technical Architect

The Role:

As a Lead Technical Architect supporting the AI buildout, and will provide end-to-end technical oversight, strategic perspective, and architectural governance for the transition to AI-assisted and agentic workflows. The successful candidate will be responsible for leading the technical design of AI platforms and cloud infrastructure.

Description:

• Define architectural roadmaps and principles for the AI buildout, establishing secure Cloud Landing Zones and technology agnostic integration layers
• Create modular, scalable cloud and microservice architectures capable of supporting complex AI workflows, setting technical design standards across the project life cycle.
• Provides technical leadership and architectural design.
• Make high-impact design decisions to manage architectural risk
• Lead architectural governance for AI systems, steering solutions through formal Technical Design Authority (TDA), Data Protection Impact Assessment (DPIA), and cyber security checkpoints.
• Regularly collaborate and find agreement with senior stakeholders
• Be proactive in identifying problems and translating these into non-technical descriptions that can be widely understood.
• Apply strategy, using patterns, standards, policies, roadmaps and vision statements.

Skills:

• Previous experience working as a Lead Technical Architect on an AI project
• Hands on experience designing deterministic AI safety controls, including human-in-the-loop approval gates, VPC Service Controls, identity federation (WIF, Entra ID) and privacy/PII masking baselines.
• Significant experience leading cloud platform architecture (GCP/AWS), secure Cloud Landing Zones, Identity and Access Management (IAM) hierarchies and microservices design for complex enterprise environments.
• Google Cloud experience
• Expertise in both strategic and technical design, with a proven tack record of designing modular components and services.
• Proven ability to architect modular, vendor-neutral software systems and API layers that seamlessly connect core enterprise platforms into central AI and workflow backbones.
• Strong understanding of public sector architectural governance
• Ability to communicate complex technical designs and risk models to stakeholders.