Senior Artificial Intelligence Engineer
Actively Hiring
Full-time Posted 5 months ago
Role overview
Location Type: Hybrid
Position Type: Full Time
Schedule: Monday through Friday
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.
Responsibilities
- check_circle Design and develop complex AI systems including agentic AI frameworks, multi-model orchestration, and advanced RAG implementations
- check_circle Architect scalable AI solutions integrating multiple AI/ML platforms and enterprise systems
- check_circle Build sophisticated data pipelines including real-time processing, vector embeddings, and feature stores
- check_circle Implement MCP (Model Context Protocol) connectivity and advanced AI integration patterns
- check_circle Make independent technical decisions on system architecture, frameworks, and deployment strategies
- check_circle Manage complex AI projects independently from requirements gathering through production deployment
- check_circle Coordinate with product teams, business stakeholders, and external vendors to deliver AI solutions
- check_circle Drive technical decisions on project approach with limited supervision from architects
- check_circle Ensure deliverables meet quality, security, and compliance requirements
- check_circle Provide technical estimates and risk assessments for project planning
- check_circle Diagnose and resolve difficult integration issues, including API failures, performance bottlenecks, and data quality problems
- check_circle Develop solutions for complex challenges in system interoperability, scalability, and real-time processing
- check_circle Troubleshoot production AI system issues, performing root cause analysis, and implementing fixes
- check_circle Optimize AI systems for performance, cost efficiency, and reliability
- check_circle Address security and compliance requirements in AI implementations for financial services
- check_circle Coach and review the work of junior engineers, guiding AI engineering best practices
- check_circle Create technical documentation, integration guides, and architectural decision records
- check_circle Lead knowledge-sharing sessions on AI design patterns and emerging technologies
- check_circle Support team development through mentorship and technical guidance
- check_circle Apply deep expertise in AI engineering, system architecture, and production ML operations
- check_circle Lead AI initiatives from design through deployment, coordinating with multiple stakeholders
- check_circle Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise
- check_circle Attend educational events to increase professional knowledge
- check_circle Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs
- check_circle Bachelor's degree in computer science, software engineering, or related technical field
- check_circle Master's degree or equivalent advanced education/certifications preferred
- check_circle Minimum 7+ years of progressive experience in software development, with at least 3 years focused on AI/ML systems
- check_circle Demonstrated experience managing technical projects independently
- check_circle Track record of delivering complex AI solutions in production environments
- check_circle Financial services or credit union experience preferred
- check_circle Experience with enterprise system integration and API development
- check_circle Expert proficiency in Python, JavaScript/TypeScript, and modern software development practices
- check_circle Advanced experience with AI/ML platforms (Databricks, Azure ML, AWS SageMaker) and LLM integration
- check_circle Advanced knowledge of RAG architectures, vector databases, and agentic AI patterns
- check_circle Expertise in cloud platforms (AWS, Azure), containerization, and MLOps practices
- check_circle Proficient knowledge of data security, privacy, and compliance in financial services
- check_circle Ability to prioritize tasks by effectively managing competing and changing priorities to meet deadlines
- check_circle Accurate, detail-oriented, and organized with task management
- check_circle Ability to analyze and resolve difficult and often complex problems or situations
- check_circle Strong written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators
- check_circle Strong knowledge and understanding of credit union products, services, policies, and procedures
- check_circle Strong knowledge and understanding of regulatory compliance
- check_circle Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties
Benefits
- check_circle Financial Well-Being: Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
- check_circle Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
- check_circle Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
- check_circle Community Involvement: Paid Volunteer Hours
- check_circle Growth: Degree Assistance up to $5,000 per year
Tags & Focus Areas
Fulltime Ai Ai Engineer Mlops