Enterprise Architect – AI Architect

Required Qualifications and Skills

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• 15+ years of experience in Enterprise Architecture, Domain Architecture, or Solution Architecture roles within complex, large‑scale environments.
• Strong and proven technical foundation built through hands‑on engineering experience, typically progressing from roles such as system administration, software engineering, platform engineering, or DevOps into architecture roles.
• Proven experience defining future‑state architectures and driving strategic platform decisions, including technology evaluation and target‑state
• Proven hands-on expertise in AI/ML engineering and GenAI, MLOps, AIOps, AI Model life cycle management, Agentic System Design
• Proven experience in Data architecture,
• Proven experience in Public Cloud platform with Hybrid integration (AWS, Azure), across the AI, GenAI services
• Familiarity with security protocols and data protection standards in banking environments (e.g., OAuth2, TLS, PKI, DLP).
• Demonstrated ability to design architectures grounded in real‑world delivery, operational, and production experience — not purely theoretical models.
• Demonstrated experience operating within regulated, banking‑grade environments.
• Proven ability to influence architectural outcomes across multiple delivery teams without direct delivery ownership.
• Strong working knowledge of relevant domain platforms and technologies (e.g., cloud platforms, containers, databases, middleware, security tooling, platform services).
• Solid understanding of security‑by‑design, regulatory compliance, and risk considerations.
• Certification from Cloud provider is a plus (AWS, Azure)
• Familiarity with Enterprise Architecture frameworks (e.g., TOGAF) is a plus.
• Experience working within Agile / DevOps delivery models.
• Excellent analytical, communication, and stakeholder‑management skills.