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Solution Architect Manager

TechTu Business Solutions IncPhoenix, AZ🇺🇸United StatesPosted Oct 6, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Phoenix, AZ, United States
Posted
Yesterday
MicroservicesSQLMLOpsMachine LearningNLPScrumAgileAzureComputer VisionGenerative AIGoogle CloudHugging FaceJavaJiraPhoenixPython

Job Description

TechTu Business Solutions is a fast?growing technology consulting and IT services company dedicated to helping organizations modernize, innovate, and operate with greater efficiency. Since 2005, we’ve partnered with public? and private?sector clients to deliver cloud, data, and enterprise solutions that create real business impact. At TechTu, we believe great people build great solutions. Our teams work across cloud engineering, data platforms, application development, and IT delivery — but our culture is what truly defines us. We foster a collaborative, supportive environment where your ideas matter, your growth is prioritized, and your work directly contributes to client success.

If you’re looking for meaningful projects, modern engineering practices, and a company that values innovation, integrity, and teamwork, TechTu is the place to build your next chapter.


Solution Architect Manager
Phoenix, AZ
Hybrid: 4 days a week.
Position Description
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.
Knowledge:
Enterprise & Cloud Architecture: Deep understanding of distributed systems, microservices, API-first design, and major cloud platforms (Salesforce, Azure, Google Cloud Platform), including their native AI/ML stacks (e.g. Azure AI Studio).
AI/ML & Generative AI Ecosystems: Comprehensive knowledge of the AI lifecycle, foundation models (LLMs, SLMs), natural language processing (NLP), computer vision, vector databases, and retrieval-augmented generation (RAG) architectures.
MLOps & Data Engineering: Understanding of CI/CD for machine learning (MLOps), data pipelines, data lakes/warehouses, and model deployment, monitoring, and retraining strategies.
Security, Privacy & AI Ethics: 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.
Architecture Frameworks & Methodologies: Familiarity with standard architectural frameworks (e.g., TOGAF, Zachman) and Agile/Scrum project management methodologies.
FinOps & Cloud Economics: Understanding of cloud cost management, particularly the cost structures associated with AI compute (GPUs, TPUs) and API token-based pricing models.
Abilities
Innate or acquired capacities to perform tasks and handle scenarios.
Business-to-Technical Translation: The ability to listen to non-technical business stakeholders, identify operational bottlenecks, and translate those needs into viable, cost-effective AI and architectural solutions.
Executive Communication: The ability to articulate complex AI concepts, architectural trade-offs, and ROI to C-suite executives and board members clearly and persuasively.
Risk Anticipation & Mitigation: The ability to foresee technical, security, or ethical risks in AI deployments and proactively design safeguards (e.g., human-in-the-loop workflows, data masking).
Adaptability & Continuous Learning: The ability to pivot rapidly in response to the fast-paced evolution of AI technologies, continuously absorbing new research and applying it to enterprise challenges.
Cross-Functional Influence: The 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.
Education: Bachelor's in Computer Science or Computer Engineering
Proficiencies and techniques developed through training and experience.
System Design & Integration: Skill in designing scalable, secure, and resilient architectures that seamlessly integrate AI models into existing enterprise software, legacy systems, and user interfaces.
Technical Evaluation & Prototyping: 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.
Technical Leadership & Mentoring: Skill in managing, coaching, and evaluating cross-functional technical teams, including cloud architects, data scientists, machine learning engineers, and software developers.
Strategic Roadmapping: Skill in creating and maintaining a technical vision and multi-year AI/architecture roadmap that aligns with the broader business objectives.
Budgeting & Vendor Management: Skill in negotiating technical contracts, managing software vendor relationships, and optimising departmental and project budgets.
Software Development (High-Level): Foundational skill in relevant programming languages (e.g., Python, SQL, Java, or Go) to effectively review architecture, guide engineering teams, and troubleshoot complex integrations.
Required Skills
At least 3+ years as a lead, experience managing employees
AI experience
Jira or DevOps experience
Agile Methodology
Preferred Skills
TOGAF
Product Management

TechTu Business Solutions is a fast growing technology consulting and IT services company dedicated to helping organizations modernize, innovate, and operate with greater efficiency. Since 2005, we've partnered with public and private sector clients to deliver cloud, data, and enterprise solutions that create real business impact. At TechTu, we believe great people build great solutions. Our teams work across cloud engineering, data platforms, application development, and IT delivery but our culture is what truly defines us. We foster a collaborative, supportive environment where your ideas matter, your growth is prioritized, and your work directly contributes to client success.

If you're looking for meaningful projects, modern engineering practices, and a company that values innovation, integrity, and teamwork, TechTu is the place to build your next chapter.

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