Solutions Architect

Talent Groups
Phoenix, AZ, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Computer Engineering Information Engineering Distributed Systems Machine Learning Natural Language Processing Zachman Framework Retrieval-Augmented Generation Large Language Models Generative AI
+4 more
Togaf Information Technology Machine Learning Operations Microservices

Requirements

We are seeking an experienced Solution Architecture Manager to lead enterprise architecture initiatives and drive the development of scalable, secure, and AI-powered business solutions. The ideal candidate will combine strong enterprise architecture expertise with hands-on knowledge of AI/ML, Generative AI, and cloud technologies., * Bachelor’s degree in Computer Science, Computer Engineering, or a related field. \n

  • Strong experience in enterprise architecture, solution design, and cloud technologies. \n

  • Knowledge of AI/ML, Generative AI, LLMs, RAG, vector databases, and NLP. \n

  • Understanding of microservices, APIs, distributed systems, MLOps, and data engineering. \n

  • Familiarity with AI governance, data privacy, security, and compliance frameworks. \n

  • Experience with architectural frameworks such as TOGAF or Zachman is preferred. \n

  • Strong technical leadership, stakeholder management, and communication skills.

Benefits & conditions

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  • Lead enterprise solution architecture and AI integration initiatives. \n

  • Design scalable architectures using microservices, distributed systems, and API-first principles. \n

  • Drive the adoption of Generative AI, LLMs, RAG, NLP, and other AI/ML technologies. \n

  • Develop cloud-based solutions using Azure, GCP, and Salesforce platforms. \n

  • Oversee MLOps, data engineering, model deployment, and AI lifecycle management. \n

  • Ensure compliance with security, privacy, AI governance, and responsible AI standards. \n

  • Develop technology roadmaps aligned with business objectives. \n

  • Lead and mentor cross-functional technical teams. \n

  • Evaluate AI solutions, manage vendors, and optimize cloud and AI infrastructure costs. \n

  • Collaborate with business stakeholders and executive leadership to translate business needs into technical solutions. \n

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