Principal Architect - AI Engineer

Description

Job overview and responsibilities

The Principal AI Engineer will be instrumental in designing and delivering foundational Retail AI agentic workflows that transform the customer experience across all channels. This position will drive technological innovation in conversational AI and autonomous systems, shaping United's future as we advance our digital transformation. As a technical leader, you will have exceptional engineering expertise, strong communication skills, and a deep understanding of AI agent architectures, LLM integration patterns, and production-grade system design.

Technical Leadership and Innovation

• Design and implement production-grade AI agentic workflows using modern frameworks and industry best practices
• Develop sophisticated conversational AI solutions that integrate seamlessly with United's retail systems and customer-facing channels across web, mobile, and voice
• Build scalable, reliable AI agent architectures that support complex customer journeys and deliver measurable business outcomes
• Establish engineering standards, patterns, and best practices for AI agent development across the organization
• Drive continuous improvement of AI system performance, reliability, and customer experience outcomes
• Evaluate emerging AI technologies and frameworks, making strategic recommendations for adoption

Collaboration and Stakeholder Management

• Engage and collaborate with product managers, data scientists, business stakeholders, and engineering teams to translate business requirements into technical solutions
• Partner with Digital Technology, Customer Support & Advocacy, and Customer Experience organizations to align AI initiatives with strategic business objectives
• Share knowledge and mentor engineers, contributing to the growth of United's AI engineering capabilities
• Provide technical guidance and thought leadership on AI agent design patterns, prompt engineering, and LLM integration strategies
• Foster open communication within cross-functional teams to ensure alignment and successful delivery of AI-powered customer experiences

System Design and Architecture

• Design cloud-native AI solutions leveraging AWS services and modern microservices architectures
• Implement robust API integrations connecting AI agents with United's retail, inventory, and customer data systems
• Ensure compliance with security protocols, data governance standards, and engineering best practices throughout the development lifecycle
• Build observability and monitoring capabilities to track AI system performance and customer experience metrics
• Collaborate with architecture teams to ensure AI solutions follow enterprise standards and scale effectively

Qualifications

What's needed to succeed (Minimum Qualifications):

• Bachelor's degree
• Computer Science, Engineering, or related technical field preferred
• 7 years of software engineering experience with strong Python development expertise
• Proven experience designing and deploying production AI/ML systems at scale
• Deep understanding of AI agent architectures, prompt engineering, and LLM integration patterns
• Strong knowledge of API design, microservices architecture, and cloud platforms (AWS preferred)
• Experience with modern software development practices including CI/CD, testing, and observability
• Outstanding communication and interpersonal skills, with the ability to effectively engage stakeholders at all levels
• Excellent problem-solving skills and ability to work effectively in cross-functional teams
• Ability to effectively use software architecture design tools such as Lucid to create detailed technical architecture diagrams
• A mindset for continuous learning and staying updated on AI/ML industry trends and emerging technologies
• Must be legally authorized to work in the United States for any employer without sponsorship
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

• Master's degree in Computer Science, Machine Learning, or related field
• Hands-on experience with LangChain and LangGraph for agent development
• Experience building conversational AI solutions for customer-facing applications in retail, e-commerce, or travel industries
• Knowledge of United's technology stack, SDLC tools, and enterprise systems
• Experience with real-time data processing and event-driven architectures
• Familiarity with contact center platforms, voice automation tools, and omnichannel customer experience systems
• 3 years of experience building Generative AI and Conversational AI platforms
• Experience with AI model evaluation, A/B testing, and performance optimization techniques
• Understanding of responsible AI principles, bias mitigation, and AI governance frameworks