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AI​/ML Architect - Associate Director (Hybrid

Job in Windsor Locks, Hartford County, Connecticut, 06096, USA
Listing for: Collins Aerospace
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 157000 - 299000 USD Yearly USD 157000.00 299000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Architect - Associate Director (Hybrid)

Date Posted:

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 information under this program/contract.

Security Clearance Type:
None/Not Required

Security Clearance Status:
Not Required

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

What YOU will do:

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

Strategy & Architecture
  • 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, RAG).
  • 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.).
Solution Design & Delivery
  • 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.
Data & Platform Architecture
  • Define architecture for data pipelines and feature stores to support ML workloads.
  • Ensure integration with enterprise data ecosystems and APIs.
Governance, Risk & Ethics.
  • Establish AI governance frameworks (model validation, explain ability, bias detection).
  • Ensure compliance with security, privacy, and regulatory requirements.
  • Promote responsible and ethical AI practices.
Technology Leadership
  • Stay current with emerging trends (LLMs, Vector databases, etc.)
  • Provide technical leadership and mentorship to teams.
Stakeholder Engagement
  • Collaborate with business leaders to identify AI opportunities.
  • Translate business requirements into technical solutions.
  • Communicate architecture decisions to executive and technical stakeholders.
Qualifications YOU Must Have:
  • Typically requires a University Degree and minimum 12 years prior relevant experience or an Advanced Degree,
  • U.S. Citizen - U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
  • 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, and versioning (MLOps).
  • Proven track record as a Solution Architect or Technical Lead, crafting new solutions and delivering business outcomes.
Qualifications We Prefer:
  • 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
Position Requirements
10+ Years work experience
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