Principal Software Engineer

Duties And Responsibilities

• Designs and implements new features while improving quality of technical products and applications
• Create and execute long-term vision of technical products and applications
• Acts as a technical expert and developer on an agile squad
• Drives the architecture of solutions across multiple services and applications
• Develops software meeting code quality standards and metrics
• PRACTICE TEST-DRIVEN DEVELOPMENT
• Guides communities of practice by mentoring developers, creating and enforcing standards, reviewing others’ code, and sharing knowledge
• Maintains effective partnerships with operations and engineering teams to drive service improvement
• Achieves operational excellence by automating processes and writing maintainable, supportable, and testable code
• Remains current on IT trends pertaining to their area of practice
• Aids in problem resolution for end users and customers
• Creates and updates operations procedures for daily routine management processes
• Maintains appropriate controls and documentation to ensure compliance of audit requirements
• Designs, builds, and supports AI-enabled software capabilities, including internal tools, developer assistants, copilots, and agentic workflows
• Defines and implements orchestration patterns for AI agents, tools, APIs, prompts, memory, and workflow execution across enterprise systems
• Partners with architecture, security, risk, data, and engineering teams to establish guardrails for responsible AI development and usage
• Evaluates and integrates large language models, AI platforms, model providers, and related tooling into enterprise software delivery workflows
• Builds reusable frameworks, services, and patterns that enable teams to safely adopt AI capabilities at scale
• Ensures AI solutions meet enterprise standards for security, privacy, resiliency, explainability, and human oversight where appropriate
• Contributes to standards, reference architectures, and best practices for AI engineering, prompt design, tool use, and workflow orchestration
• Identifies opportunities to improve developer productivity, automation, and customer outcomes through intelligent tooling and AI-assisted processes
• Mentors engineers on modern software engineering and emerging AI engineering practices

Supervisory Responsibilities

None

Minimum Knowledge, Skills And Abilities Required

• Bachelor’s degree in Computer Science/Information Systems or comparable with 8+ years of experience
• Knowledge of object-oriented and functional software design
• Knowledge of software development best practices
• Familiarity with RESTful networking
• Prior experience with knowledge of Git and GitHub
• Understanding of Software Development Methodologies
• Understanding of security best practices
• Strong problem solving skills
• Strong collaboration skills
• Excellent verbal and written communication skills
• Experience designing and implementing distributed systems, APIs, and service integrations
• Familiarity with AI/ML concepts and modern AI application patterns, including large language models, prompt engineering, retrieval patterns, and agentic workflows
• Experience building or integrating automation, workflow orchestration, or intelligent tooling into engineering or business processes
• Ability to evaluate tradeoffs across software architecture, AI capabilities, operational support, and enterprise controls
• Ability to work across product, engineering, architecture, security, and risk stakeholders to deliver scalable enterprise solutions