AI Engineer - Data

Job Summary: Supports activities related to ensuring the overall health and modernization of organization-wide Information Technology system. Provides support to internal lines of business across the technology infrastructure including analysis, development, modification, installation, testing, and maintenance of hardware, software, networking, and security for a variety of systems. Troubleshoots issues, makes recommendations, and responds to and solves incidents and client requests based on standard operating procedures and runbooks. Assists and serves as a point of escalation for junior team members.

Job Duties and 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.

Provides input on complex projects, often serving as a subject-matter-expert.

Supports and deploys business partner software and packages.

Modifies and/or debugs business partner-supplied utilities and packages.

Monitors system capacity and performance using a broad set of tools.

Provides technical support to various departments and users.

Identifies troublesome trends and develops plans designed to resolve issues and prevent recurrences.

Serves as escalation point for junior engineers

Acts as subject-matter-expert for area of responsibility.

Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Firm authority in a timely fashion.

Performs other related duties as required.

The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job

Pinnacle is an Equal Opportunity Employer committed to fostering an inclusive work environment.

Minimum Education: Bachelor's degree in Computer Science, Engineering or other related technical field or an equivalent combination of education and experience.

Minimum Experience: 5 to 7 years of experience supporting a variety of technologies and functions including virtualization experience. Regular office environment;

Required Knowledge, Skills & Abilities:

May sit for long periods of time;

Talk and hear regularly;

Up to 10 pounds weight lifting/force exertion required;

Weight/force exertion required less than 25% of the time;

Travel required less than 25% of the time

Preferred Qualifications:

Python, SQL, APIs, Databricks/Unity Catalog, cloud engineering, IAM/security, data governance, metadata/classification, LLM/agent architectures, MCP, Copilot/Claude integration, and regulated financial-services environments.