Solutions Architecture Lead; Apps Dev Manager
Listed on 2026-10-11
-
IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer, IT Project Manager
JPC - 15187 - Solutions Architecture Lead (Apps Dev Manager)
[Phoenix, AZ, 85007], United States
12 Years
N/A
Posted 4 days ago
Primary SkillsJAVA
SQL
Microservices
Bachelor's degree in Computer Science
Data Lakes
or a related field. 3+ years of experience leading and managing technical teams/employees. Hands-on experience with AI technologies and enterprise AI solutions. Experience with Agile methodologies. Experience using Jira and/or Azure Dev Ops. Strong ba
and cloud platforms such as Azure
and GCP. Experience with AI/ML ecosystems
NLP
and Generative AI technologies. Understanding of MLOps
and machine learning lifecycle management. Strong knowledge of security
privacy regulations
and AI governance frameworks. Proficiency in software development concepts with technologies such as Python
Job DescriptionJob Summary (List Format) – Solution Architecture Manager
- Location &
Schedule:
Hybrid (4 days onsite per week), local candidates only. - Role Overview: Serve as a strategic technical leader, bridging enterprise architecture with advanced AI/ML technologies.
- System Oversight: Lead the development of modern, scalable software systems with AI as a core component.
- Enterprise & Cloud Architecture: Deep expertise in distributed systems, microservices, API-first design, and major cloud platforms (Salesforce, Azure, GCP, including AI/ML stacks).
- AI/ML Ecosystems: Strong knowledge of AI lifecycle, LLMs/SLMs, ...
JPC - 15187
Job Start Date11/02/26
City[Phoenix, AZ, 85007], United States
Experience12 Years
Primary SkillsJAVA, SQL, Salesforce, Computer Engineering, Microservices, Data Pipelines, Bachelor's degree in Computer Science, vector databases, Data Lakes, API-first design, or a related field. 3+ years of experience leading and managing technical teams/employees. Hands-on experience with AI technologies and enterprise AI solutions. Experience with Agile methodologies. Experience using Jira and/or Azure Dev Ops. Strong ba, and cloud platforms such as Azure, and GCP.
Experience with AI/ML ecosystems, Foundation Models, NLP, and Generative AI technologies. Understanding of MLOps, and machine learning lifecycle management. Strong knowledge of security, privacy regulations, and AI governance frameworks. Proficiency in software development concepts with technologies such as Python
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