AI Engineer - Data

Synovus•Columbus, GA

16h

About The Position

The AI Engineer supports the health and modernization of the organization’s information technology systems and helps enable secure, governed enterprise adoption of AI. The role designs and manages MCP gateways and AI-to-data integration patterns, connects enterprise data and AI platforms, and implements controls for data classification, access, masking, metadata, lineage, and AI data use. It also develops monitoring and automated guardrails to support AI governance, risk management, and compliance. The position provides technical support across technology infrastructure and internal business lines, including analysis, development, modification, installation, testing, and maintenance of systems. The engineer troubleshoots incidents and client requests, monitors capacity and performance, supports and deploys software, and serves as a subject-matter expert and escalation point for junior engineers. The role partners with Data, Architecture, Cybersecurity, Risk, and AI teams to operationalize governance and produce evidence for Risk, Compliance, Security, and Audit requirements.

Requirements

Bachelor’s degree in Computer Science, Engineering, or another related technical field, or an equivalent combination of education and experience.
5 to 7 years of experience supporting a variety of technologies and functions, including virtualization experience.
Ability to sit for long periods of time.
Ability to talk and hear regularly.
Ability to lift or exert force up to 10 pounds; this is required less than 25% of the time.
Ability to travel less than 25% of the time.

Responsibilities

Build technical capabilities that enable secure and governed enterprise adoption of AI.
Design and manage MCP gateways and AI-to-data integration patterns.
Integrate Databricks, Microsoft Copilot, Claude, APIs, structured data, and unstructured content with AI solutions.
Implement classification, access controls, masking, metadata, lineage, and AI data-use policies.
Develop monitoring for AI consumption, data access, usage, cost, and governance compliance.
Engineer automated AI guardrails and policy-enforcement controls.
Support governance of RAG, agents, LLM integrations, vector stores, and enterprise knowledge sources.
Identify and mitigate risks associated with sensitive or regulated data being consumed by AI.
Produce logging and evidence supporting Risk, Compliance, Security, and Audit requirements.
Partner across Data, Architecture, Cybersecurity, Risk, and AI teams to operationalize AI governance.
Provide input on complex projects, often serving as a subject-matter expert.
Support and deploy business partner software and packages.
Modify and debug business partner-supplied utilities and packages.
Monitor system capacity and performance using a broad set of tools.
Provide technical support to various departments and users.
Identify troublesome trends and develop plans to resolve issues and prevent recurrences.
Serve as an escalation point for junior engineers.
Act as a subject-matter expert for the area of responsibility.
Observe policies, procedures, laws, regulations, and risk limits specific to the role, and report known or suspected violations to the appropriate Firm authority in a timely fashion.
Perform other related duties as required.