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Jobs · Engineering · Utah

Solution Architect - Enterprise Systems

ZAGG, Inc. · Midvale, UT · 5 days ago
On-siteEngineeringFull-time

About the role

ZAGG is seeking a Solution Architect -- Enterprise Systems to drive strategic alignment between business goals and our enterprise technology landscape. The ideal candidate will have 7+ years of experience in enterprise solution architecture, technical consulting, or senior engineering leadership.

Responsibilities

  • Partner with executive, product, and commercial leadership to translate business objectives into architecture decisions with clear, measurable outcomes.

  • Lead discovery workshops and requirements sessions, producing BRDs and Solution Design Documents that connect every technical decision to a KPI, OKR, or business capability gap.

  • Build and present multi-year technology roadmaps to business stakeholders, articulating investment rationale, risk trade-offs, and expected ROI.

  • Identify opportunities for intelligent automation and machine learning to eliminate operational friction, accelerate revenue, or unlock new business capabilities, and build the business case to pursue them.

  • Facilitate prioritization workshops (MoSCoW, RICE, WSJF) to align stakeholders on scope, sequencing, and return on investment across competing initiatives.

  • Contribute to vendor evaluations and RFPs, assessing enterprise platforms and emerging technology services against business requirements, scalability, and total cost of ownership.

  • Design end-to-end architectures across commerce, ERP, CRM, OMS, PIM, supply chain, and data platforms, incorporating intelligent and automated capabilities as core components.

  • Define the intelligent platform layer within the enterprise architecture, including foundational models, data pipelines, orchestration patterns, and API contracts that power data-driven and automated capabilities.

  • Architect solutions leveraging large language models and generative capabilities, connected to enterprise systems via governed, versioned APIs.

  • Lead build vs. buy evaluations for enterprise systems and intelligent capabilities, assessing vendor platforms, foundation models, and custom development against business need and long-term maintainability.

  • Define non-functional requirements across the full stack, including availability SLAs, disaster recovery targets, security posture, model performance baselines, and compliance obligations (GDPR, CCPA, SOX, EU AI Act).

  • Produce and maintain Architecture Decision Records (ADRs), capability maps, system-of-record designations, and architectural diagrams as the authoritative source of truth.

  • Arcitecture and implement enterprise integrations using scalable middleware and iPaaS platforms (MuleSoft & other platforms) and event-driven messaging (AWS, SQS).

  • Define the data strategy required to power intelligent capabilities, including feature stores, vector databases, real-time streaming pipelines, and lakehouse architecture (Snowflake, Databricks, BigQuery).

  • Establish master data management and data governance standards ensuring all systems — including those powering automated and predictive capabilities — are built on accurate, consistent, and trustworthy data.

  • Own API strategy across enterprise systems and intelligent services, including versioning standards, lifecycle management, security controls (OAuth 2.0, mTLS), and developer experience including interfaces for language model and agent-to-system communication.

  • Establish and enforce technology standards, integration patterns, and usage policies, including deployment approvals, responsible use principles, explainability requirements, and bias monitoring for automated decision-making systems.

  • Run formal governance processes for major platform changes and intelligent system releases, including performance benchmarking, data lineage review, security sign-off, and stakeholder approval before production deployment.

  • Define and track platform health metrics across enterprise and intelligent systems, including uptime, API latency, integration error rates, model performance (accuracy, drift, latency), and technical debt, with regular reporting to technology leadership.

  • Champion operational excellence: alerting, monitoring, and incident response standards covering enterprise integrations and automated system behaviour in production.

  • Mentor engineers and data practitioners, conduct architecture reviews, and build capability across technology and business teams, fostering a culture where intelligent tooling is a practical, well-governed asset.

  • Collaborate with Project and Program Managers to align program scope with commercial budgets, timelines, and business priorities.

  • Define success metrics for every program, including performance baselines, business impact KPIs, and operational cost benchmarks, with measurement frameworks live from go-live.

  • Serve as the technical escalation point for complex system issues, integration failures, and automated system behavior concerns in production.

Requirements

  • Required Qualifications:

    • 7+ years in enterprise solution architecture, technical consulting, or senior engineering leadership with a track record of large-scale system delivery.
    • Proven hands-on experience designing and deploying intelligent or ML-driven solutions in production, including language model integration, retrieval-augmented generation, or model operationalization within enterprise environments.
    • Deep experience integrating across two or more enterprise platforms: ERP (SAP, Oracle, NetSuite), CRM (Salesforce, Microsoft Dynamics), OMS, PIM, eCommerce, and data warehouses.
    • Practical experience with cloud intelligence services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and direct integration with foundation model providers.
    • Familiarity with orchestration frameworks, vector databases, and prompt engineering practices at production scale.
    • Strong command of cloud infrastructure (AWS, GCP, or Azure), containerisation (Docker / Kubernetes), and CI/CD pipeline design.
    • Demonstrated ability to translate business strategy into technology roadmaps and communicate trade-offs clearly to C-suite and board-level audiences.
    • Experience producing high-quality documentation: BRDs, SDDs, ADRs, capability maps, and executive-level presentations.

  • Preferred Qualifications:

    • Experience building agentic systems: multi-agent orchestration, tool-use patterns, and human-in-the-loop workflow design.
    • Background in consumer products, retail, or eCommerce with exposure to use cases such as demand forecasting, personalisation engines, or intelligent customer service.
    • Experience with MLOps platforms and production model monitoring for drift, bias, and performance degradation.
    • Familiarity with the EU AI Act and responsible-use principles including explainability, fairness, and auditability.
    • Experience with TOGAF, Zachman, or another enterprise architecture framework.
    • Relevant certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, Azure Solutions Architect Expert, TOGAF 9/10, or an ML specialist certification.

What You’ll Love About ZAGG

  • Generous PTO – Plus two floating holidays to use as you choose.

  • 401(k) Match – Company contributions to support your long-term financial goals.

  • Employee Product Perks – Hands-on access to ZAGG’s full portfolio of industry-leading products.

  • Growth Culture – Join a team with strong year-over-year momentum and a clear path to expanded responsibility.

Equal Opportunity Employer

ZAGG is an Equal Opportunity Employer. We welcome and encourage diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Zagg does business.

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