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RTX

AI Solution Architect (Hybrid)

Posted 5 Hours Ago
Be an Early Applicant
In-Office
4 Locations
132K-252K Annually
Expert/Leader
In-Office
4 Locations
132K-252K Annually
Expert/Leader
Lead AI solution assessments, partner with business units for feasibility, drive responsible AI governance, and communicate technical findings to stakeholders.
The summary above was generated by AI

Date Posted:

2026-03-13

Country:

United States of America

Location:

US-NC-CHARLOTTE-2730 ~ 2730 W Tyvola Rd ~ TYVOLA

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access certain necessary systems.

Security Clearance Type:

DoD

Security Clearance Status:

Active and existing security clearance required after day 1

This position is part of the Collins Digital Technology AI organization, supporting the company's mission to develop and scale AI capabilities responsibly, securely, and strategically across the enterprise. The AI Solution Architect serves as a trusted technical advisor to internal business customers across Collins, guiding the identification, evaluation, and implementation of AI-enabled Enterprise AI solutions.

In this role, you will lead use case assessments, match business needs to existing enterprise capabilities or rigorously evaluated vendor solutions, consult on proposed AI initiatives being designed and developed by other teams, and serve as a steward of corporate Responsible AI, Cybersecurity, Legal, and Privacy policies. You will also drive enterprise alignment to prevent duplicative investments, promote reuse of shared AI platforms, and ensure a balanced approach to cost, performance, and technology maturity.

**This is a hybrid-based position at one of Collins’ major facilities. **

What YOU will do:

Use Case Evaluation & Solution Advisory
  • Partner with internal business customers across Collins strategic business units and central functions to understand AI use case requirements, assess feasibility, and translate business needs into solution options with clearly articulated tradeoffs.

  • Evaluate use cases against the existing enterprise AI capability portfolio, recommending proven internal platforms, tools, and services to accelerate delivery and avoid redundant development.

  • Assess commercially available vendor AI tools, platforms, and services as candidate solutions; conduct structured capability evaluations including technical fit, security posture, integration complexity, data governance implications, cost modeling, and vendor viability.

Enterprise AI Strategy & Governance
  • Drive alignment of proposed AI initiatives with enterprise AI strategies, architecture standards, and technology roadmaps to avoid proliferation of overlapping capabilities and fragmented investments.

  • Champion the use of enterprise and tools as the preferred delivery path before recommending third-party or custom development.

  • Maintain awareness of the enterprise AI capability inventory and assist in communicating available solutions to internal customers to accelerate adoption.

Responsible AI & Risk Management
  • Apply RTX's Responsible AI framework to evaluate proposed use cases and solutions, identifying risks related to bias, fairness, transparency, explainability, human oversight, and data privacy.

  • Assess vendor AI product documentation, AI transparency reports, and contractual representations to validate claims and identify gaps or misrepresentations.

  • Identify technical, operational, ethical, regulatory, and reputational risks in proposed AI initiatives; develop risk findings and recommend mitigations, conditions of approval, or denial where appropriate.

Stakeholder Engagement & Communication
  • Serve as a point of contact and trusted consultant for strategic business unit AI leads, program offices, and functional leaders seeking guidance on AI adoption strategies.

  • Communicate complex technical concepts, tradeoffs, and risk findings clearly to audiences including senior leadership, program managers, engineers, and non-technical business stakeholders.

Qualifications YOU Must Have:

  • Typically requires a University Degree and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 years of experience

  • U.S. Citizenship is required. The ability to obtain and maintain a U.S. government issued security clearance may be required for certain assignments.

  • Familiarity with enterprise AI/ML architecture patterns, including generative AI, large language models (LLMs), retrieval-augmented generation (RAG), ML pipelines, and model governance.

  • Experience working across multiple business functions or programs as a technical advisor, solutions architect, or enterprise architect with a track record of translating business requirements into actionable technical recommendations.

  • Demonstrated knowledge of AI risk, ethics, and responsible AI principles, including experience applying governance frameworks in a practical decision-making context.

  • Strong written and verbal communication skills with a proven ability to synthesize complex technical information into clear, concise recommendations for senior stakeholders.

Qualifications We Prefer:

  • Experience in an Aerospace and Defense or regulated government contracting environment, with familiarity with export control (EAR/ITAR), data classification, and program security requirements as they relate to AI systems.

  • Knowledge of the NIST AI Risk Management Framework (AI RMF), DoD AI Ethics Principles, or equivalent responsible AI frameworks.

  • Hands-on experience building, deploying, or operating AI/ML solutions, including working with cloud AI services (Azure AI, AWS Bedrock, Google Vertex AI) and enterprise AI platforms.

  • Experience evaluating AI vendor statements of work, capability roadmaps, and AI transparency documentation; familiarity with SaaS/AI contractual risk provisions.

  • Understanding of enterprise architecture governance processes and technology portfolio management, including experience contributing to an architecture review board or similar governance body.

  • Advanced degree (M.S. or Ph.D.) in Computer Science, Artificial Intelligence, Systems Engineering, Data Science, or a related technical field.

  • Relevant professional certifications such as AWS/Azure/GCP AI certifications, TOGAF, SABSA, or Certified AI Governance Professional (CAIGP).

  • Prior experience with digital transformation programs, technology rationalization, or enterprise IT/AI platform consolidation initiatives.

What We Offer:

Some of our competitive benefits packages include:

  • 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! 

Learn More & Apply Now!

Do you want to be part of a new, exciting initiative to combine foundational IT with new digital technologies?  Our Digital Technology team is driving business efficiencies and a better customer experience by connecting technologies, people, information and processes. From making aircraft more electric, intelligent and integrated to building new software platforms such as Internet of Things, big data, artificial intelligence, and blockchain, there’s no better place to be right now than in digital. If you’re an agile thinker who enjoys utilizing modern technology to make big improvements, then you’re a perfect fit for this team. Join Collins Aerospace to help us revolutionize the aerospace industry today!

WE ARE REDEFINING AEROSPACE.

* Please consider the following role type definitions as you apply for this role.

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world – and access to Collins sites when their work requires in-person meetings.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.

                                                                                                

Apply now and be part of the team that’s redefining aerospace, every day.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Top Skills

AI
Aws Bedrock
Azure Ai
Google Vertex Ai
Machine Learning

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