AI Architect

Job Summary

The AI Architect owns the enterprise AI architecture, ensuring AI solutions are scalable, secure, interoperable, and aligned to business outcomes. They design end-to-end architectures and monitoring, establish standard patterns and build-vs-buy guidance, and partner with technology, data, security, and business teams to move AI initiatives from concept to production.

Essential Functions, Duties And Responsibilities

• Defines and maintains the enterprise AI architecture and reference models.
• Designs end-to-end AI solutions across data ingestion, models, orchestration, integration, and monitoring.
• Selects, standardizes, and documents AI patterns (e.g., RAG, agentic workflows, ML pipelines, rules + AI hybrids).
• Creates reusable AI assets, templates, and architectural guardrails to accelerate delivery.
• Evaluates, approves, and oversees AI tools, vendors, and platforms.
• Ensures interoperability with core systems (core banking, CRM, ECM, data platforms).
• Identifies opportunities to consolidate and standardize AI and automation solutions across the enterprise.
• Ledds and governs AI proofs of concept and pilots.
• Supports AI business case development and guides solutions through implementation and production.

Required Knowledge, Skills And Competencies

• Advanced proficiency with modern AI/ML and generative AI architectures.
• Advanced proficiency in defining architectural standards, reference architectures, and reusable patterns, including AI patterns such as RAG, agentic workflows, and model orchestration.
• Advanced proficiency in designing AI solutions involving data platforms, APIs, and enterprise integrations; strong ability to translate business problems into scalable AI solution designs.
• Intermediate proficiency in supporting AI pilots, proofs of concept, and production deployments.
• Intermediate proficiency in collaboration and communication with engineering, data, security, business stakeholders, and senior leadership.
• Basic proficiency evaluating AI platforms, tools, models, and vendors objectively.
• Basic proficiency with AI governance concepts including security, privacy, risk, and compliance.

Industry And Work Experience

• Minimum 6 years of software engineering, data engineering, information security, or systems administration experience required.
• Minimum 3 years of experience with AWS, GCP, Azure, or another cloud service preferred.
• Previous financial services industry or FinTech experience strongly preferred.

Benefits

Ameris Bank provides a comprehensive employee benefit package to all eligible employees. Benefits include medical, dental, and vision insurance, life insurance, long-term disability coverage, paid sick and vacation leave, holidays, and more. Ameris Bank also offers special bank services like free interest checking, safe deposit box, and employee banking perks.

Banking Advantages

In addition to benefits, Ameris Bank employees are eligible for special bank services such as free online banking, unlimited online bill payment, and mortgage origination fee discounts.

Disclaimer

The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required for the position. All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.