Senior / Staff Systems Architect, AI Platforms ( Human-in-the-Loop )

Senior / Staff Systems Architect, AI Platforms (Human-in-the-Loop)   Role Summary We are building AI-enabled platforms composed of multiple autonomous and semi-autonomous systems operating at scale. While individual AI services are increasingly capable, overall system reliability, clarity, and trust depend on end-to-end design across humans, software, and automation. This role focuses on system-level architecture and outcomes, not model training. You will be responsible for designing, evaluating, and evolving complex AI-enabled systems with clear decision boundaries, escalation paths, and accountability. The scope and impact of this role varies by level.   Responsibilities (All Levels) Design and evaluate end-to-end system architectures spanning AI services, APIs, data pipelines, and human workflows Identify and mitigate system-level risks, including failure modes, ambiguous ownership, automation blind spots, and cascading errors Define clear decision rights between automated systems and human operators Partner with engineering, product, operations, and risk teams to align system behavior with real-world constraints Establish system-level metrics focused on reliability, latency, trust, and outcome quality Produce durable architectural documentation to support explainability, auditability, and long-term scalability   Leveling Expectations Senior Systems Architect Scope Owns architecture for a major system or platform area Drives design decisions that affect multiple teams or services Operates independently on well-defined but complex problem spaces Impact Improves system reliability and clarity across multiple workflows Anticipates second-order effects within owned domains Reduces operational friction caused by tool or workflow fragmentation Required Experience 10+ years in systems architecture, platform engineering, enterprise software, or complex product ecosystems Hands-on experience designing or operating multi-system workflows in production Strong understanding of distributed systems, APIs, and data flow design Practical fluency in AI/ML concepts (confidence, failure modes, automation risk) Staff Systems Architect Scope Owns architecture across multiple platforms or organizational domains Defines system patterns and guardrails used by other architects and teams Operates in ambiguous environments where problems are not fully articulated Impact Shapes how AI systems interact with humans at scale Anticipates third-order effects and long-term system consequences Influences platform strategy, tooling decisions, and architectural standards Acts as a force multiplier for other senior engineers and architects Required Experience 12–15+ years in large-scale systems architecture or platform leadership Proven track record of designing cross-org, cross-platform systems Experience influencing architecture without direct authority Strong judgment in balancing speed, risk, reliability, and user trust   Preferred Qualifications (Both Levels) Experience with AI platforms, automation frameworks, or decision-support systems in production Background in high-reliability, compliance-heavy, or safety-critical environments Familiarity with human-in-the-loop design, service design, or operational risk frameworks Experience simplifying or consolidating fragmented tool ecosystems