Padmi
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Honeywell Technologies

building automation · industrial automation

Sr. Director Data & AI Platforms

AtlantaPosted 2 months ago
Engineering ManagementUnspecified
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Opens the source posting on ibqbjb.fa.ocs.oraclecloud.com

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YOU MUST HAVE 10+ years of hands-on architecture experience designing production AI/ML or data platforms at enterprise scale. Deep experience with cloud AI and data services on at least one major hyperscaler, such as AWS, Azure, or GCP. Proven ability to architect end-to-end ML systems, including data pipelines, feature engineering, training, serving, monitoring, feedback loops, and governance. Hands-on experience with LLM and agentic systems, including RAG, vector databases, orchestration frameworks, and inference optimization.

WE VALUE MS or PhD in Computer Science, Machine Learning, Data Engineering, or a related field, or equivalent applied experience. Experience designing hybrid or edge architectures in industrial or operational technology environments. Strong foundation in modern data architecture, including lakehouse, streaming, data governance, data quality, and data mesh concepts. Demonstrated success simplifying platforms, improving developer experience, reducing tool sprawl, and creating reusable architecture patterns. Industrial AI experience in areas such as predictive maintenance, quality inspection, process optimization, digital twins, supply chain, or energy management. Experience with historian data, SCADA, IIoT, or industrial edge platforms. Knowledge of AI security and governance patterns, including responsible AI, audit logging, explainability, confidential computing, federated learning, or regulatory compliance. Experience with real-time or streaming AI systems, including low-latency feature computation, online learning, event-driven pipelines, or streaming inference. Multi-cloud or cloud-agnostic platform design experience using Kubernetes, KServe, Ray, Terraform, or similar abstraction layers. Open-source contributions, published architecture work, conference speaking, or recognized thought leadership in AI, data, or platform engineering. Strong executive communication skills and experience influencing senior technical and non-technical stakeholders.

Benefits OF Working FOR Honeywell

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: Click Here The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and engagement: Click Here

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