Solutions Architecture Lead

VIVA USA Inc; Phoenix (AZ); Hybrid; USD 160,000 - 220,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

VIVA USA Inc. seeks a Solution Architecture Manager to bridge enterprise architecture and AI-driven systems. You will lead design of scalable software with AI at its core and drive modernization initiatives across the organization.

You will translate business needs into AI-enabled technical solutions, mentor teams, and ensure governance, security, and regulatory compliance are integrated into the architecture.

Qualifications

• Bachelor's degree in Computer Science or Computer Engineering.
• Extensive experience in enterprise/cloud architecture and AI/ML pipelines.
• Strong knowledge of MLOps, data pipelines, and data lake/warehouse design.
• Familiarity with AI safety, privacy regulations (CCPA), and ethical AI practices.
• Experience with TOGAF/Zachman and Agile/Scrum.
• Understanding of FinOps and cloud cost management for AI workloads.

Responsibilities

• Lead the architecture strategy bridging traditional enterprise and AI-enabled systems.
• Design scalable, secure AI-centric software solutions across the enterprise.
• Communicate architectural trade-offs and ROI to executives and stakeholders.

Skills

Enterprise Architecture

Cloud Architecture

AI/ML

MLOps

Data Engineering

AI Ethics

Security

Architecture Frameworks

FinOps

System Design

Leadership

Roadmapping

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

Salesforce

Azure

GCP

Hugging Face

Job description

Hybrid 4 days a week working from home. Local ONLY.

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, GCP), 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.
• Bachelors 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 optimizing 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.

Notes

Hybrid 4 days a week working from home

VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status