About the job
Collins Aerospace is seeking an experienced and forward-thinking AI/ML architect to be part of our Digital Architecture team. This role is responsible for defining strategic alignment and leading the end-to-end architecture of Artificial Intelligence (AI) and Machine learning (ML) solutions across the Collins landscape. This role bridges business strategy, data science and engineering to design scalable, secure, and production-ready AI/ML solutions that drive measurable business value.
Responsibilities
Define Collins AI/ML architecture aligned with Business goals and digital strategy
Establish reference architectures, design patterns and standards for AI/ML solutions.
Lead the adoption of modern AI capabilities (e.g. Generative AI, Deep learning, NLP).
Collaborate with Domain Architects in Security, Infrastructure, Data & Business unit, to refine and evolve the Solution architectures, processes, practices, leveraging architectural frameworks (e.g. TOGAF, Zachman, DODAF, etc.)
Architect end-to-end AI/ML solutions (data ingestion, feature engineering, model development, deployment, monitoring) for business use cases.
Partner with AI teams, Data Scientists and Engineers to operationalize models.
Ensure scalability, reliability, and performance of AI systems in production.
Define architecture for data pipelines and feature stores to support ML workloads.
Ensure integration with enterprise data ecosystems and APIs
Establish AI governance frameworks (model validation, explainability, bias detection).
Ensure compliance with security, privacy, and regulatory requirements.
Promote responsible and ethical AI practices.
Stay current with emerging trends (LLMs, Vector databases, etc.).
Provide technical leadership and mentorship to teams.
Collaborate with business leaders to identify AI opportunities.
Translate business requirements into technical solutions.
Communicate architecture decisions to executive and technical stakeholders.
Qualifications
Minimum
Typically requires a University Degree and minimum 12 years prior relevant experience or an Advanced Degree in a related field and minimum 10 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 broad-based experience in Data and AL/ML architecture, deployments, integration, or consulting, with extensive experience in implementing AI/ML Solutions for large complex organizations.
In-depth knowledge of AI/ML frameworks. Expertise in data architecture, distributed systems and APIs. Experience with CI/CD for ML, Model monitoring, versioning (MLOps).
Proven track record as a Solution Architect or Technical Lead, crafting new solutions and delivering business outcomes.
Preferred
Experience with Generative AI/ Large language Models (LLMs). Knowledge of vector databases, embeddings and prompt engineering
Familiarity with data and AI/ML concepts and technologies
Strong understanding of AI ethics, governance and regulatory frameworks
Relevant experience in Aerospace & Defense industry preferred. Familiarity with the unique needs of manufacturing and aerospace, including compliance, quality management, and traceability.
Experience with working on enterprise architecture frameworks (TOGAF, Zachman, DoDAF) & tools (SparxEA, Cameo, LeanIX). Certification in any of the framework’s a plus.
Experience with Agile methodology such as Scaled Agile Framework (SAFe) and tools such as Jira.
Exceptional interpersonal, collaboration, and communication skills, with an ability to convey complex technical concepts to non-technical stakeholders.
Ability to balance innovation with pragmatic delivery. Lead and influence without authority.
Demonstrated experience in guiding cross-functional teams and fostering alignment on architecture strategies across diverse stakeholders.