Senior Artificial Intelligence Engineer

Suncoast Credit Union•Tampa, FL

11h•Hybrid

About The Position

The Senior Artificial Intelligence Engineer applies advanced knowledge to design, develop, and deploy complex AI-powered systems connecting credit union operations with modern AI/ML platforms. This role works independently with limited supervision, managing complex AI projects and coaching junior team members. The incumbent solves difficult and sometimes complex technical challenges in AI architecture, system integration, and production deployment.

Requirements

Bachelor's degree in computer science, software engineering, or related technical field
Minimum 7+ years of progressive experience in software development, with at least 3 years focused on AI/ML systems
Demonstrated experience managing technical projects independently
Track record of delivering complex AI solutions in production environments
Experience with enterprise system integration and API development
Expert proficiency in Python, JavaScript/TypeScript, and modern software development practices
Advanced experience with AI/ML platforms (Databricks, Azure ML, AWS SageMaker) and LLM integration
Advanced knowledge of RAG architectures, vector databases, and agentic AI patterns
Expertise in cloud platforms (AWS, Azure), containerization, and MLOps practices
Proficient knowledge of data security, privacy, and compliance in financial services
Ability to prioritize tasks by effectively managing competing and changing priorities to meet deadlines
Accurate, detail-oriented, and organized with task management
Ability to analyze and resolve difficult and often complex problems or situations
Strong written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators
Strong knowledge and understanding of credit union products, services, policies, and procedures
Strong knowledge and understanding of regulatory compliance
Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties

Nice To Haves

Master's degree or equivalent advanced education/certifications preferred
Financial services or credit union experience preferred

Responsibilities

Design and develop complex AI systems including agentic AI frameworks, multi-model orchestration, and advanced RAG implementations
Architect scalable AI solutions integrating multiple AI/ML platforms and enterprise systems
Build sophisticated data pipelines including real-time processing, vector embeddings, and feature stores
Implement MCP (Model Context Protocol) connectivity and advanced AI integration patterns
Make independent technical decisions on system architecture, frameworks, and deployment strategies
Manage complex AI projects independently from requirements gathering through production deployment
Coordinate with product teams, business stakeholders, and external vendors to deliver AI solutions
Drive technical decisions on project approach with limited supervision from architects
Ensure deliverables meet quality, security, and compliance requirements
Provide technical estimates and risk assessments for project planning
Diagnose and resolve difficult integration issues, including API failures, performance bottlenecks, and data quality problems
Develop solutions for complex challenges in system interoperability, scalability, and real-time processing
Troubleshoot production AI system issues, performing root cause analysis, and implementing fixes
Optimize AI systems for performance, cost efficiency, and reliability
Address security and compliance requirements in AI implementations for financial services
Coach and review the work of junior engineers, guiding AI engineering best practices
Create technical documentation, integration guides, and architectural decision records
Lead knowledge-sharing sessions on AI design patterns and emerging technologies
Support team development through mentorship and technical guidance
Apply deep expertise in AI engineering, system architecture, and production ML operations
Lead AI initiatives from design through deployment, coordinating with multiple stakeholders
Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise
Attend educational events to increase professional knowledge
Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs