Enterprise Architect
vTech Solution Inc
Phoenix, AZ, United States
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Cloud Computing
Cloud Engineering
Computer Engineering
Information Engineering
Distributed Systems
Python (Programming Language)
Machine Learning
Natural Language Processing
Scrum Methodology
+7 more
SQL Databases
Zachman Framework
Generative AI
Togaf
Information Technology
Machine Learning Operations
Microservices
Job description
The Architect role involves designing scalable and secure enterprise systems with a focus on integrating AI-driven solutions. This position leads architecture decisions across cloud and software environments, ensuring resilient and innovative technology strategies that align with business goals. Responsibilities:
- Design secure, scalable, and resilient system architectures.
- Integrate AI/ML and generative AI technologies into enterprise systems.
- Lead architectural design for distributed systems, microservices, APIs, and cloud platforms.
- Evaluate technical solutions, vendors, and integration approaches.
- Drive technical roadmaps, governance, and cross-functional collaboration.
- Support security, privacy, compliance, and risk mitigation efforts.
Requirements
- Strong expertise in enterprise and cloud architecture.
- Knowledge of AI/ML, natural language processing (NLP), vector databases, retrieval-augmented generation (RAG), and AI lifecycle.
- Understanding of MLOps, data engineering, and model deployment.
- Familiarity with security, privacy, and AI compliance frameworks.
- Skills in system design, integration, leadership, and strategic planning.
- Foundational programming knowledge in Python, SQL, Java, or Go.
- Bachelor’s degree in Computer Science or Computer Engineering.
Preferred Skills & Certifications:
- Familiarity with TOGAF or Zachman architecture frameworks.
- Experience with Agile/Scrum methodologies.
- Knowledge of FinOps and cloud cost management.
- Strong executive communication and stakeholder management skills.
Special Considerations:
- Must adhere to security, privacy, and compliance standards related to AI and enterprise systems.
- Lead architecture governance and cross-functional collaboration in a complex environment.
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