Solution Architect

S R International Inc; Phoenix (AZ); Hybrid; USD 110,000 - 170,000; Full time

Job summary

State of Arizona - AZDES / DTS is hiring an AI Solution Architecture Manager in Phoenix to lead the enterprise AI strategy and modern architecture. The role bridges enterprise architecture, cloud tech, software development, and AI, delivering scalable, secure solutions with AI at the core.

The candidate should bring 3+ years of technical leadership, hands-on AI/ML, cloud platform experience (Azure, GCP, Salesforce), and strong mentoring abilities to guide cross-functional teams.

Qualifications

• Experience leading technical teams and delivering AI-enabled solutions.
• Strong background in enterprise and cloud architecture with distributed systems.
• Hands-on AI/ML and Generative AI experience required.
• Familiarity with Jira or Azure DevOps and Agile/Scrum practices.

Responsibilities

• Lead architecture strategy for modern enterprise apps and AI-enabled solutions.
• Design scalable, secure architectures integrating AI with enterprise systems.
• Translate business requirements into viable AI tech strategies and roadmaps.
• Evaluate AI vendors, models, and APIs for build-vs-buy decisions.
• Mentor cross-functional teams and drive technical outcomes.
• Develop long-term AI/architecture roadmaps and governance.

Skills

People management

AI/ML hands-on

Jira

Azure DevOps

Agile/Scrum

Enterprise architecture

Azure

GCP

Salesforce

LLMs

NLP

Vector DBs

RAG

MLOps

Data pipelines

AI security

Privacy

Governance

System design

Mentoring

Education

Bachelor's degree in Computer Science / Computer Engineering

Tools

Azure AI Studio

Job description

Job Title: AI Solution Architecture Manager

Job Code: AZ 13917

Client: State of Arizona - AZDES / DTS

Location: Phoenix, AZ - Hybrid / Local Only

Duration: Through 06/30/2027

Work Hours: Monday-Friday, 8:00 AM-5:00 PM (40 hrs/week)

Overtime: Available

Work Location: 1400 W. Washington St., Phoenix, AZ 85007

Closing Date: 10/07/2026 at 4:00 PM

Work Schedule: Hybrid - 4 days/week onsite

Interview: In-person interview may be required

Position Overview

We are seeking a Solution Architecture Manager / Solutions Architecture Lead to serve as a strategic technical leader driving the next generation of enterprise systems. This role bridges enterprise architecture, cloud technologies, software development, and Artificial Intelligence, with responsibility for building modern, scalable, secure solutions with AI at their core.

Required Skills

• 3+ years of experience managing employees in a technical leadership role
• Hands-on AI/ML and Generative AI experience
• Experience with Jira and/or Azure DevOps
• Strong understanding of Agile/Scrum methodologies
• Enterprise and cloud architecture experience, including distributed systems, microservices, and API-first design
• Experience with major cloud platforms such as Azure, GCP, and Salesforce
• Knowledge of LLMs, SLMs, NLP, computer vision, vector databases, and RAG
• Experience with MLOps, data engineering, CI/CD, data pipelines, and model deployment
• Knowledge of AI security, privacy, compliance, and responsible AI
• Strong system design, integration, technical leadership, and mentoring skills
• Bachelor's degree in Computer Science, Computer Engineering, or related field

Preferred Skills

• TOGAF
• Product Management
• Zachman or other enterprise architecture frameworks

Key Responsibilities

• Lead architecture strategy for modern enterprise applications and AI-enabled solutions.
• Design scalable, secure, and resilient architectures integrating AI models with enterprise and legacy systems.
• Translate business requirements into viable and cost-effective technical/AI solutions.
• Evaluate AI vendors, open-source models, and third-party APIs for build-vs-buy decisions.
• Lead, mentor, coach, and evaluate cross-functional technical teams.
• Develop technical vision and multi-year AI/architecture roadmaps.
• Collaborate with product, legal, security, engineering, and business stakeholders.
• Identify and mitigate technical, security, privacy, and ethical risks in AI deployments.
• Support budgeting, vendor management, contract negotiations, and cloud cost optimization.
• Communicate complex architecture, AI concepts, trade-offs, and ROI to executive stakeholders.

Technical Knowledge

• Enterprise & Cloud Architecture: Distributed systems, microservices, API-first design, Azure, GCP, Salesforce, Azure AI Studio
• AI/ML & GenAI: LLMs, SLMs, NLP, computer vision, vector databases, RAG
• MLOps & Data Engineering: CI/CD, data pipelines, data lakes/warehouses, model deployment and monitoring
• Security & AI Governance: CCPA, NIST AI RMF, EU AI Act, data residency, AI bias, toxicity, and hallucination mitigation
• Architecture Frameworks: TOGAF, Zachman, Agile/Scrum
• FinOps: Cloud cost management, AI compute costs (GPUs/TPUs), API/token-based pricing

Primary Skills

Enterprise & Cloud Architecture, AI/ML, Generative AI, RAG, LLMs, MLOps, Data Engineering, Azure, GCP, Salesforce, Azure AI Studio, NLP, Microservices, API Architecture, Agile/Scrum, Jira, Azure DevOps, TOGAF, AI Governance, NIST AI RMF, Enterprise Architecture, Cloud Cost Management