AI Solutions Engineer; Hybrid

Qualifications

• U.

S.

Citizen, U.

S.

Person, or Immigration Status Requirements: This job requires a U.

S.

Person

• A U.

S.

Person a lawful permanent resident as defined in 8 U.

S.

C

• 1101(a)(20) or a protected individual as defined by 8 U.

S.

C

• Typically requires a University Degree with a minimum of 8 years of relevant experience or an Advanced Degree with a minimum of 5 years of experience
• Must be authorized to work in the U.S. without sponsorship now or in the future
• 8+ years of progressive experience in software development and IT
• 3‑5+ years of hands‑on development expertise
• 2‑3+ years in leadership or senior engineering roles demonstrating the ability to technically lead and inspire teams
• lösen knowledge of Statistics, Multi-variable Calculus, Linear Algebra, and Differential Equations, demonstrated through application to complex engineering problems
• Proven ability to gather and analyze complex requirements, design and architect comprehensive solutions across multiple domains, including enterprise, application, data, integration, infrastructure, and security
• Demonstrated expertise in AI/ML technologies, cloud architecture, and enterprise software, with strong analytical and proactive problem‑solving skills
• Exceptional written and verbal communication skills, with the ability to articulate intricate technical concepts clearly and effectively to audiences
• Extensive experience in AI research, theory, and innovation, with a strong interest in the intersection of AI and Complexity Science
• Proficient in development tools and environments…

Responsibilities

• In this pivotal role, you will help design, implement, and optimize AI solutions that enhance operational efficiency and bolster infrastructure reliability
• Collaborating within a Scaled Agile Framework (SAFe), you will engage with cross‑functional teams to translate business objectives into technical realities, delivering high‑quality, scalable solutions that align with our strategic goals
• Partner with teams across the organization to ensure the seamless integration and successful delivery of solutions, adhering to SAFe's collaborative ethos
• Articulate complex technical concepts clearly and concisely to both technical and non‑technical audiences, fostering seamless collaboration across SAFe teams and leadership guesses
• Design, build, and deploy full end‑to‑end production AI systems, leveraging complex data pipelines, advanced AI and agentic AI models, and modern MLOps and Dev Ops practices to deliver scalable, reliable, and maintainable solutions
• Proactively identify and mitigate technical risks associated with projects and initiatives, considering the broader implications within the SAFe context
• Develop integration strategies with existing enterprise systems
• Collaborate with AI engineers and business stakeholders
• Ensure platform scalability, security, and compliance
• Enable efficient deployment of AI solutions by internal AI engineers
• Ensure the platform meets the needs of business users across the enterprise

Full Description

Position: AI Solutions Engineer (Hybrid)

Date Posted:

Country: United States of America

Location: HNC

01: UTAS Headquarters (HS) 2730 West Tyvola Road, Charlotte, NC, 28217 USA

Position Role Type: Hybrid

U.

S.

Citizen, U.

S.

Person, or Immigration Status Requirements: This job requires a U.

S.

Person.

A U.

S.

Person a lawful permanent resident as defined in 8 U.

S.C. 1101(a)(20) or a protected individual as defined by 8 U.

S.

C. 1324b(a)(3).

U.

S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons.

For a complete definition of “U.

S. Person” go here: article of https://(Use the "Apply for this Job" box below)..62

Security Clearance: None/Not Required

The Collins Aerospace Digital Technology Artificial Intelligence team delivers value through machine learning and AI services.

Collaborating with senior leaders, the team uncovers hidden insights and drives digital transformation with advanced innovations.

This work provides a competitive edge, solves business problems, and transforms our operations.

We are seeking a highly accomplished AI Solutions Engineer to lead digital transformation initiatives focused on Complexity Analytics and other advanced AI techniques.

In this pivotal role, you will help design, implement, and optimize AI solutions that enhance operational efficiency and bolster infrastructure reliability.

Collaborating within a Scaled Agile Framework (SAFe), you will engage with cross‑functional teams to translate business objectives into technical realities, delivering high‑quality, scalable solutions that align with our strategic goals.

What YOU will do:

• Partner with teams across the organization to ensure the seamless integration and successful delivery of solutions, adhering to SAFe's collaborative ethos.

• Articulate complex technical concepts clearly and concisely to both technical and non‑technical audiences, fostering seamless collaboration across SAFe teams and leadership guesses.

• Design, build, and deploy full end‑to‑end production AI systems, leveraging complex data pipelines, advanced AI and agentic AI models, and modern MLOps and Dev Ops practices to deliver scalable, reliable, and maintainable solutions.

• Proactively identify and mitigate technical risks associated with projects and initiatives, considering the broader implications within the SAFe context.

• Develop integration strategies with existing enterprise systems.

• Collaborate with AI engineers and business stakeholders.

• Ensure platform scalability, security, and compliance.

• Enable efficient deployment of AI solutions by internal AI engineers.

• Ensure the platform meets the needs of business users across the enterprise.

Qualifications YOU Must Have:

• Typically requires a University Degree with a minimum of 8 years of relevant experience or an Advanced Degree with a minimum of 5 years of experience.

• Must be authorized to work in the U.S. without sponsorship now or in the future.

RTX will not offer sponsorship for this position (U.

S. Citizen or Green Card Holder).

• 8+ years of progressive experience in software development and IT.

• 3‑5+ years of hands‑on development expertise.

• 2‑3+ years in leadership or senior engineering roles demonstrating the ability to technically lead and inspire teams.

• lösen knowledge of Statistics, Multi-variable Calculus, Linear Algebra, and Differential Equations, demonstrated through application to complex engineering problems.

Qualifications We Prefer:

• Proven ability to gather and analyze complex requirements, design and architect comprehensive solutions across multiple domains, including enterprise, application, data, integration, infrastructure, and security.

• Demonstrated expertise in AI/ML technologies, cloud architecture, and enterprise software, with strong analytical and proactive problem‑solving skills.

• Exceptional written and verbal communication skills, with the ability to articulate intricate technical concepts clearly and effectively to audiences. لږ

• Extensive experience in AI research, theory, and innovation, with a strong interest in the intersection of AI and Complexity Science.

• Proficient in development tools and environments…