Principal Architect - AI Engineer

We need to output HTML fragment with sections: About the role? The description includes "Job overview and responsibilities". We'll create sections: About the role (maybe from first paragraph), Responsibilities (from bullet points), Qualifications (minimum and preferred), Benefits (list), Pay (base pay range). Also maybe Schedule? Not present. So we include only sections with content. We must not repeat job title. No Job ID. Remove boilerplate: EEO etc. Also remove application instructions (none). Remove duplicated lines. We need to preserve all substantive info. We'll parse content: Intro paragraph: "Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together." Then "Job overview and responsibilities" heading then paragraphs. We'll treat "Job overview and responsibilities" as About the role? Could be "About the role". We'll create

About the role

with that intro and overview. Then responsibilities: list of bullet points under Technical Leadership and Innovation, Collaboration and Stakeholder Management, System Design and Architecture. We'll combine into a single

list? Could separate subheadings but we only have h3 for sections; we could keep subheadings as

maybe bold? But instructions: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have sections: About the role, Responsibilities, Qualifications, Benefits, Pay. No separate subheadings needed; we can embed the content under Responsibilities as paragraphs and list. Thus:

About the role

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together.

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.

Then Responsibilities: we can list bullet points from the three subsections. We'll create

Responsibilities

• 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
• 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
• 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
Then Qualifications: we have Minimum Qualifications and Preferred Qualifications. We'll combine into one section Qualifications with subpoints maybe as list. We'll create

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
• Master's degree in Computer Science, Machine Learning, or related field (preferred)
• Hands-on experience with LangChain and LangGraph for agent development (preferred)
• Experience building conversational AI solutions for customer-facing applications in retail, e-commerce, or travel industries (preferred)
• Knowledge of United's technology stack, SDLC tools, and enterprise systems (preferred)
• Experience with real-time data processing and event-driven architectures (preferred)
• Familiarity with contact center platforms, voice automation tools, and omnichannel customer experience systems (preferred)
• 3+ years of experience building Generative AI and Conversational AI platforms (preferred)
• Experience with AI model evaluation, A/B testing, and performance optimization techniques (preferred)
• Understanding of responsible AI principles, bias mitigation, and AI governance frameworks (preferred)
But we might want to separate Minimum vs Preferred? Not required. Could keep as one list. Benefits: list from "You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges." We'll create

Benefits

• medical
• dental
• vision
• life
• accident & disability
• parental leave
• employee assistance program
• commuter
• paid holidays
• paid time off
• 401(k)
• flight privileges
Pay: base pay range $140,600.00 to $183,108.00. Also mention bonus and/or long-term incentive compensation awards. We'll include that.

Pay

The base pay range for this role is $140,600.00 to $183,108.00. This position is also eligible for bonus and/or long-term incentive compensation awards.

We should not include Schedule. We must not include boilerplate like EEO etc. Remove that. Make sure we preserve all substantive info: we kept intro, overview, responsibilities, qualifications (including preferred), benefits, pay. Check we didn't miss any details: The line "The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills." We omitted that sentence. Should we include? It's substantive but maybe redundant. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. So we should include that sentence. Also mention "This position is also eligible for bonus and/or long-term incentive compensation awards." Already included. Also "You may be eligible for the following competitive benefits:" we captured list. Also "United Airlines is an Equal Opportunity Employer..." we removed as boilerplate EEO. That's allowed to remove. Also "We provide reasonable accommodations..." also boilerplate; remove. Also "To request an accommodation, contact JobAccommodations@united.com" remove. Also "Achieving our goals starts with supporting yours..." we kept. Also "Come join us to create what’s next. Let’s define tomorrow, together." kept. Also "Job overview and responsibilities" we turned into About the role. Check we didn't lose any bullet: The responsibilities list includes all bullet points from three subsections. Let's verify each: 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 All present. Qualifications Minimum: - 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 Preferred: - Master's degree in Computer Science, Machine Learning, or related field -