Solutions Architecture Manager

S R INTERNATIONAL INC • Phoenix, AZ

11h • $60 - $70 • Hybrid

About The Position

As the Solution Architecture Manager, you will be a strategic, dual-focus technical leader driving our next generation of enterprise systems. In this highly visible role, you will bridge the gap between traditional enterprise architecture and the rapidly evolving landscape of artificial intelligence. You will not just oversee systems; you will be responsible for building modern, scalable software solutions with AI at their core.

Requirements

• At least 3+ years as a Lead experience managing employees
• AI experience
• Jira or DevOps experience
• Agile Methodology
• Deep understanding of distributed systems, microservices, API-first design, and major cloud platforms (Salesforce, Azure, GCP), including their native AI/ML stacks (e.g. Azure AI Studio).
• Comprehensive knowledge of the AI lifecycle, Foundation Models (LLMs, SLMs), Natural Language Processing (NLP), computer vision, vector databases, and retrieval-augmented generation (RAG) architectures.
• Understanding of CI/CD for machine learning (MLOps), data pipelines, data lakes/warehouses, and model deployment, monitoring, and retraining strategies.
• Knowledge of data privacy regulations (CCPA), AI compliance frameworks (NIST AI RMF, EU AI Act), data residency, and techniques for mitigating AI bias, toxicity, and hallucinations.
• Familiarity with standard architectural frameworks (e.g., TOGAF, Zachman) and Agile/Scrum project management methodologies.
• Understanding of cloud cost management, particularly the cost structures associated with AI compute (GPUs, TPUs) and API token-based pricing models.
• Ability to listen to non-technical business stakeholders, identify operational bottlenecks, and translate those needs into viable, cost-effective AI and architectural solutions.
• Ability to articulate complex AI concepts, architectural trade-offs, and ROI to C-suite executives and board members clearly and persuasively.
• Ability to foresee technical, security, or ethical risks in AI deployments and proactively design safeguards (e.g., human-in-the-loop workflows, data masking).
• Ability to pivot rapidly in response to the fast-paced evolution of AI technologies, continuously absorbing new research and applying it to enterprise challenges.
• Ability to lead by influence rather than just authority, driving consensus among product managers, legal teams, security officers, and engineering leads to ensure smooth deployment of AI services.
• Bachelors in Computer Science or Computer Engineering
• Skill in designing scalable, secure, and resilient architectures that seamlessly integrate AI models into existing enterprise software, legacy systems, and user interfaces.
• Proficiency in assessing vendor AI solutions, open-source models (e.g., Hugging Face), and third-party APIs to determine the best build vs. buy approach for business use cases.
• Skill in managing, coaching, and evaluating cross-functional technical teams, including cloud architects, data scientists, machine learning engineers, and software developers.
• Skill in creating and maintaining a technical vision and multi-year AI/architecture roadmap that aligns with the broader business objectives.
• Skill in negotiating technical contracts, managing software vendor relationships, and optimizing departmental and project budgets.
• Foundational skill in relevant programming languages (e.g., Python, SQL, Java, or Go) to effectively review architecture, guide engineering teams, and troubleshoot complex integrations.

Nice To Haves

• TOGAF
• Product Management

Responsibilities

• Driving our next generation of enterprise systems.
• Bridging the gap between traditional enterprise architecture and the rapidly evolving landscape of artificial intelligence.
• Building modern, scalable software solutions with AI at their core.
• Translating non-technical business stakeholder needs into viable, cost-effective AI and architectural solutions.
• Articulating complex AI concepts, architectural trade-offs, and ROI to C-suite executives and board members.
• Foreseeing technical, security, or ethical risks in AI deployments and proactively designing safeguards.
• Pivoting rapidly in response to the fast-paced evolution of AI technologies, continuously absorbing new research and applying it to enterprise challenges.
• Leading by influence rather than just authority, driving consensus among product managers, legal teams, security officers, and engineering leads.
• Designing scalable, secure, and resilient architectures that seamlessly integrate AI models into existing enterprise software, legacy systems, and user interfaces.
• Assessing vendor AI solutions, open-source models, and third-party APIs to determine the best build vs. buy approach.
• Managing, coaching, and evaluating cross-functional technical teams, including cloud architects, data scientists, machine learning engineers, and software developers.
• Creating and maintaining a technical vision and multi-year AI/architecture roadmap that aligns with the broader business objectives.
• Negotiating technical contracts, managing software vendor relationships, and optimizing departmental and project budgets.
• Reviewing architecture, guiding engineering teams, and troubleshooting complex integrations.

Benefits

• Flexible work from home options available.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager