AI Architect Technical Lead

Overview / Job Responsibilities

Sev1

Tech is seeking an experienced AI Technical Lead / Architect to spearhead a dynamic team of Twenty (20) AI professionals in advancing secure resilient and integrated AI systems. This role focuses on driving secure-by-design adoption vulnerability management for intelligent systems cross-sector AI integration and the development of strategic AI roadmaps. The ideal candidate will combine deep technical expertise in AI with strong leadership skills to deliver innovative solutions that enhance observability reliability and security across AI deployments.

This position plays a critical role in ensuring our AI initiatives align with industry best practices and organizational goals fostering a culture of innovation and proactive risk management.

• Lead and mentor a team of 20 AI engineers data scientists and specialists providing technical guidance performance feedback and professional development opportunities to ensure high team productivity and collaboration.
• Champion secure-by-design principles in AI development embedding security considerations from the outset of system architecture and throughout the lifecycle.
• Develop and implement robust vulnerability management strategies for intelligent systems including identification assessment mitigation and monitoring of risks in AI models and infrastructure.
• Drive cross-sector industry and systems AI integration efforts collaborating with stakeholders to ensure seamless interoperability and scalability of AI solutions across diverse environments.
• Spearhead the creation and execution of comprehensive AI roadmaps aligning them with business objectives emerging technologies and regulatory requirements.
• Oversee the design and deployment of AI observability frameworks tools and processes to monitor model performance detect anomalies and maintain system integrity.
• Collaborate with cross-functional teams including security operations and product management to integrate AI best practices and deliver high-impact outcomes.
• Stay abreast of advancements in AI machine learning observability tools and security trends applying insights to enhance team capabilities and project deliverables.
• Manage project timelines budgets and resources to ensure on-time delivery of initiatives while maintaining quality standards.

• AI observability reference architecture that incorporates secure-by-design principles providing a blueprint for scalable and secure monitoring of AI systems.
• Custom dashboards and reporting mechanisms offering real-time and historical insights into model health data drift and AI‑related logging to support proactive decision‑making.
• Standard Operating Procedures (SOPs) for model retention rollback processes and root cause analysis to streamline operations and minimize downtime.
• Incident response procedures tailored for model failures and anomalies including detection protocols escalation paths and recovery strategies.
• A comprehensive AI Roadmap outlining short‑ and long‑term strategies technology adoption plans and milestones for AI maturation within the organization.
• Comparative analysis and recommendations on open‑source and commercial AI observability tools evaluating factors such as features cost integration ease and security to inform procurement decisions.

• Bachelor's or Master's degree in Computer Science Artificial Intelligence Data Science Engineering or a related field.
• At least 5-8 years of experience in AI / ML engineering or related roles with a minimum of 3-5 years in a leadership or technical lead position managing teams of 10 members.
• Proven track record in secure AI system design vulnerability management and integration across multiple sectors or systems.
• Strong expertise in AI observability including tools for monitoring model performance data drift detection and logging.
• Experience developing AI roadmaps and strategic plans in complex enterprise‑level environments.
• Familiarity with regulatory frameworks and standards related to AI security (e.g. NIST AI Risk Management Framework ISO / IEC standards).

• Technical Proficiency:
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