Lead Solutions Architect

S R International

  • Phoenix, Arizona
  • 3 days ago

    Highlights

    Primary Skills Solutions Architecture, Application Development Management, AI/ML, Generative AI, RAG, LLMs, Salesforce, Azure, GCP, Azure AI Studio, MLOps, Data Engineering, Microservices, Agile/Scrum, Jira, Azure DevOps, TOGAF, Product Management. The ideal candidate will have at least three years of experience leading and managing employees, hands-on knowledge of AI/ML and Generative AI, enterprise and cloud architecture expertise, and experience with Agile methodologies and Jira or Azure DevOps.

    Numbers & Facts

    LocationPhoenix, Arizona
    Websitehttps://www.sriiusa.com

    Description

    Job Title: Lead Solutions Architect 
    Job Code: AZ 14298
    Client: State of Arizona – Arizona Department of Economic Security (AZDES)
    Location: Phoenix, Arizona
    Work Arrangement: Hybrid – 4 days per week working from home; local candidates only
    Contract Duration: Through June 30, 2027
    Working Hours: Monday–Friday, 8:00 AM–5:00 PM (40 hours/week; overtime available)
    Work Location Address: 1400 W. Washington St., Phoenix, AZ 85007

    Position Overview
    The State of Arizona is seeking a Lead Solutions Architect to lead enterprise application architecture and development, with a strong focus on AI-enabled solutions. This role combines technical leadership, employee management, cloud architecture, and AI strategy to deliver scalable, secure, and cost-effective enterprise systems.

    The ideal candidate will have at least three years of experience leading and managing employees, hands-on knowledge of AI/ML and Generative AI, enterprise and cloud architecture expertise, and experience with Agile methodologies and Jira or Azure DevOps.

    Required Skills
    • At least 3+ years of experience in a lead role managing employees.
    • Experience with AI/ML, Generative AI, LLMs, NLP, vector databases, and Retrieval-Augmented Generation (RAG).
    • Strong understanding of enterprise and cloud architecture, distributed systems, microservices, and API-first design.
    • Experience with cloud platforms such as Salesforce, Microsoft Azure, or Google Cloud Platform (GCP), including AI/ML services.
    • Experience with Jira or Azure DevOps.
    • Knowledge of Agile/Scrum methodologies.
    • Strong technical leadership, team mentoring, and cross-functional collaboration skills.
    • Bachelor’s degree in Computer Science or Computer Engineering.
    • Ability to translate business requirements into scalable technical solutions and communicate architecture decisions to executive stakeholders.
    Preferred Skills
    • TOGAF or other enterprise architecture frameworks, such as Zachman.
    • Product management experience.
    • Experience with Azure AI Studio, MLOps, data engineering, CI/CD, and AI model deployment and monitoring.
    • Knowledge of AI security, privacy, responsible AI practices, and compliance frameworks such as NIST AI RMF and the EU AI Act.
    • Experience with cloud cost optimization, AI computing costs, and token-based pricing models.
    • Programming knowledge in Python, SQL, Java, or Go.
    • Experience with technical roadmapping, budgeting, vendor management, and build-versus-buy evaluations.
    Key Responsibilities
    • Lead the design and implementation of scalable, secure, AI-enabled enterprise applications.
    • Develop enterprise architecture strategies and multi-year technical roadmaps.
    • Evaluate AI models, third-party APIs, and cloud services to identify suitable solutions.
    • Guide development teams, cloud architects, data scientists, and machine learning engineers.
    • Ensure AI solutions meet security, privacy, compliance, and performance requirements.
    • Collaborate with business stakeholders, product managers, legal teams, and security leaders.
    • Manage technical vendors, budgets, and cloud cost optimization.
    • Communicate technical strategies, architecture decisions, risks, and business value to executive leadership.
    Primary Skills
    Solutions Architecture, Application Development Management, AI/ML, Generative AI, RAG, LLMs, Salesforce, Azure, GCP, Azure AI Studio, MLOps, Data Engineering, Microservices, Agile/Scrum, Jira, Azure DevOps, TOGAF, Product Management.
     

    Flexible work from home options available.





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