Artificial Intelligence Specialist

Job Description

8 to 10 years of experience in IT architecture, systems design, or a related technical discipline.

Demonstrated ability to design and deliver solutions for complex, enterprise-scale technology environments.

Clear and concise written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.

Strong prioritization and organizational skills, with the ability to manage multiple workstreams and shifting priorities simultaneously.

Ability to build effective working relationships across technology and business teams, including external stakeholders where required.

Self-motivated and adaptable, with the initiative to take ownership of new challenges and deliver results under pressure and to tight deadlines.

Methodical approach to problem-solving with strong attention to detail and sound analytical thinking

Design end-to-end solution architectures embedding Generative AI components (LLMs, RAG pipelines, prompt engineering, AI agents) into core enterprise systems.

Establish architecture standards, design principles, and governance frameworks for microservices, APIs, and cloud-native application design.

Model application, data, and integration architectures to ensure performance, scalability, security, and maintainability.

Evaluate and select GenAI platforms, frameworks, and tooling based on architectural fit, technical feasibility, and long-term scalability.

Conduct architecture reviews and technical design assessments to ensure compliance with enterprise design standards.

Lead the design and execution of enterprise IT architecture across major, complex technology programs, ensuring all solutions align with established enterprise blueprints and long-term technology strategy.

Build and maintain technology roadmaps by evaluating emerging technologies and translating their potential into actionable business recommendations.

Design end-to-end systems architecture and provide technical leadership across the full systems development lifecycle, from concept through to delivery.

Translate complex business requirements into scalable, well-structured technical solutions that address real-world operational needs.

Evaluate and recommend infrastructure, platforms, and communication frameworks that support Citi's IT goals and evolving technology needs.

Drive integrated systems planning by identifying and championing innovative technologies