Senior Emerging Technology Architect – AI Security, Human-Agent Systems & Post-Quantum Technologies

The Senior Emerging Technology Architect is responsible for defining and advancing the enterprise architecture for secure human-AI collaboration, agentic systems, and emerging technologies, including quantum and post-quantum cryptography (PQC). This role serves as a strategic leader at the intersection of AI, cybersecurity, architecture, and innovation, ensuring emerging technologies align with enterprise security standards, risk requirements, and business objectives. [Senior Eme...nt Systems | Word]

The position focuses on establishing scalable operating models for human-agent collaboration, secure AI adoption, AI-native architectures, and quantum readiness while enabling innovation through governance, resilience, and trust. [Senior Eme...nt Systems | Word]

Key Responsibilities

AI Security & Governance

• Define architectural standards and security guardrails for AI, generative AI, agentic AI, and autonomous systems.
• Ensure AI platforms, agents, and workflows align with enterprise security policies, risk frameworks, and regulatory requirements.
• Collaborate with cybersecurity, risk, legal, and compliance teams to establish governance models for AI adoption.
• Define controls for agent identity, authorization, data access, auditability, and operational oversight.

Human-Agent Systems Strategy

• Develop enterprise strategy for human-agent collaboration and AI-assisted work execution.
• Define operating models where humans and AI agents work from shared context, workflows, and objectives.
• Establish architectural principles for multi-agent systems, orchestration frameworks, and collaborative decision-making.

Knowledge Architecture & Intelligent Systems

• Design enterprise knowledge architectures that enable AI systems to reason over business, technology, and operational context.
• Define patterns for shared context, knowledge graphs, semantic architectures, and AI-enabled decision support.
• Enable trusted AI outcomes through explainability, traceability, and governance.

API & Emerging Technology Architecture

• Develop API and integration strategies optimized for AI and agent consumption.
• Define patterns for secure interoperability across platforms, services, and autonomous systems.
• Guide the evolution of enterprise architecture to support adaptive automation and AI-native operating models.

Quantum & Post-Quantum Technology Leadership

• Evaluate emerging quantum computing technologies and their potential impact on business and security.
• Partner with enterprise architecture, engineering, and cybersecurity teams to drive post-quantum cryptography (PQC) readiness and migration planning.
• Define quantum risk assessment methodologies, technology roadmaps, and adoption strategies.
• Track industry developments, standards, and regulatory expectations related to quantum and PQC technologies.

Research & Innovation

• Research emerging technologies, AI architectures, quantum technologies, and security innovations.
• Translate research into reference architectures, pilots, standards, and strategic recommendations.
• Serve as a trusted advisor to senior leadership on emerging technology opportunities and risks.
• Represent the organization in industry forums, consortiums, and strategic partnerships as appropriate.

Required Qualifications

• Deep expertise in enterprise architecture, distributed systems, APIs, and integration patterns.
• Strong understanding of cybersecurity architecture, security engineering, and risk management principles.
• Experience with AI platforms, generative AI, agentic systems, automation, and orchestration technologies.
• Knowledge of quantum computing concepts and post-quantum cryptography principles.
• Ability to bridge business strategy, technology architecture, and security requirements.
• Proven ability to lead cross-functional initiatives spanning architecture, security, engineering, and business stakeholders.
• Strong communication and executive engagement skills.

Strategic Value

• Enables secure enterprise AI adoption.
• Advances human-AI collaboration capabilities.
• Drives quantum and PQC readiness.
• Establishes trusted emerging technology governance.

Potential Challenges

• AI governance and oversight.
• Emerging technology maturity.
• Quantum transition complexity.
• Cross-functional alignment.