AI Solutions Engineer (Hybrid)

RTX • Charlotte, NC

31d • Hybrid

About The Position

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 with the design, implementation, and optimization of 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
This is a hybrid position based out of one of Collins’ major facilities.

Requirements

• Typically requires a University Degree and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 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.
• Advanced knowledge of Statistics, Multivariable Calculus, Linear Algebra, and Differential Equations, demonstrated through application to complex engineering problems.

Nice To Haves

• Proven ability to gather and analyze complex requirements, design and architecting 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 such as Databricks, Linux (Ubuntu, Bash), Conda, pip, VS Code, Spyder, Git/GitHub, GPUs, and REST APIs.
• Advanced programming skills in Python, leveraging libraries like Pandas, NumPy, TensorFlow, Unstructured.io, LangChain, and Haystack for AI/ML applications.
• Deep understanding of the software development lifecycle, including coding standards, code reviews, source control, CI/CD pipelines, testing, and delivery of innovative products.
• Hands-on experience developing and training models for applications in Computer Vision, Conversational AI, Natural Language Processing, Decision Support, Ranking/Recommendations, and Speech/Audio.
• Expertise in building and managing data pipelines, data processing workflows, database querying, and MLOps processes.
• Extensive experience in cloud-native architectures with deep proficiency in leading cloud platforms, including AWS, Azure, and GCP.
• Solid understanding and application of DevOps methodologies, tools, and containerization technologies such as Docker, Kubernetes, and Jenkins.
• Experience with XR technologies, Simulation and Agentic AI, is a valuable plus

Responsibilities

• 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.
• 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 DevOps 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.

Benefits

• Medical, dental, and vision insurance.
• Three weeks of vacation for newly hired employees.
• Generous 401(k) plan that includes employer matching funds and separate.
• employer retirement contribution, including a Lifetime Income Strategy option.
• Tuition reimbursement program.
• Student Loan Repayment Program.
• Life insurance and disability coverage.
• Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection.
• Birth, adoption, parental leave benefits.
• Ovia Health, fertility, and family planning.
• Adoption Assistance.
• Autism Benefit.
• Employee Assistance Plan, including up to 10 free counseling sessions.
• Healthy You Incentives, wellness rewards program.
• Doctor on Demand, virtual doctor visits.
• Bright Horizons, child, and elder care services.
• Teladoc Medical Experts, second opinion program.
• And more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees