Senior Security Architect

What You’ll Do (key Responsibilities)

• Build full-stack platform experiences
• Design and implement full-stack applications and platform components that enable rapid development, validation, and deployment of AI agents.
• Deliver robust user and developer experiences that move teams from experimentation to production with consistent patterns and reusable building blocks.
• Engineer production-grade AI agent systems
• Build and evolve AI agents using current LLM patterns (e.g., retrieval/tool use/routing/evaluations) to improve quality, reliability, and cost efficiency.
• Contribute to standardization of agent implementations via reusable “blueprints/specs” and a registry mindset (schema, CI/CD hooks, runtime contract, governance).
• Enable evaluation-driven development (Evals)
• Build developer tooling and workflows for safe iteration: evaluations, rollout/rollback strategies, canaries, telemetry, and quality/cost tracking.
• Partner with domain experts and platform stakeholders to continuously improve agent behavior based on measurable outcomes and structured feedback loops.
• Operate with security, compliance, and DevSecOps by default
• Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege), aligned to platform control expectations documented for FAB.
• Build/maintain operational readiness practices (release pipelines, change controls, emergency access patterns) in line with FAB DevSecOps alignment efforts.
• Proactively reduce common classes of vulnerabilities in platform workflows (e.g., mass assignment, parameter tampering) using strict DTO contracts and server-side validation.
• Cloud-native delivery across a hybrid landscape
• Build cloud-native services across a hybrid deployment model where FAB design/back-office services are hosted on AWS while enabling runtime services to run on AWS and Azure.

Required Qualifications

• 8+ years of professional software engineering experience with strong full-stack development skills and cloud experience.
• Expertise in at least one (and working proficiency across others) of: AI agent development & evaluation, backend development, frontend development, cloud services, CI/CD & IaC, SRE/operations, testing strategy, secure SDLC.
• Proven track record delivering secure, reliable, cloud-native systems to production; strong ownership and cross-functional communication.