Top Remote Enterprise Architect Jobs

Lead design and implementation of agentic, multi-agent AI workflows for enterprise contact centers using Google Gemini Enterprise CX and ADK. Architect integrations with backend systems, build CI/CD pipelines, design LLM-driven conversational experiences, guide testing and prompt engineering, and oversee deployment on GCP (Cloud Run/GKE/Functions) while mitigating hallucinations and ensuring operational readiness.

Leads enterprise data architecture across Federal Student Aid’s Common Data Model, CRM platforms, servicer integrations, analytics, and downstream systems. Defines canonical models, systems of record, data contracts, integration patterns, governance, lineage, quality, security, privacy, and lifecycle controls. Develops reference architectures, decision records, modernization roadmaps, and data-flow designs; evaluates architectural tradeoffs; supports leadership reviews; collaborates across engineering, integration, security, analytics, product, and business teams; and mentors technical staff.

Lead technical strategy and end-to-end architecture for Adobe Experience Cloud implementations, integrating generative AI across data, content, and customer journeys. Design scalable, secure solutions, advise clients on platform selection and AI governance, mentor architects, conduct design and architecture reviews, and translate business requirements into enterprise-grade architectures that leverage cloud data warehouses and martech stacks to deliver personalization, predictive insights, and responsible AI practices.

Lead enterprise-wide digital marketing technical engagements, develop architecture models, manage client relationships, and ensure alignment between business strategies and technology roadmaps.

Design and deploy end-to-end Generative AI systems across the 7-layer stack. Select and fine-tune models, build LLMOps pipelines, implement observability, integrate with cloud platforms and APIs, enforce data protection, and lead stakeholder workshops to translate business needs into scalable, secure AI solutions.

Design and deploy enterprise Generative AI systems across the 7-layer stack: data ingestion, preprocessing, model selection, orchestration, inference, integration, and application. Lead model selection/tuning (commercial and open-source), establish LLMOps and observability, integrate AI with cloud platforms, enforce data protection, manage hallucinations/security, and act as onshore technical lead for client workshops and stakeholder alignment.

Lead technical strategy and end-to-end architecture for Adobe Experience Cloud implementations, integrating generative AI across data, content, and customer journeys. Define scalable reference architectures, governance, identity resolution, and AI guardrails. Advise clients, mentor delivery teams, conduct design reviews, and translate business needs into enterprise-grade solutions across martech and cloud data stacks.

Architects, documents, and improves enterprise business processes spanning lead generation, business development, project delivery, billing, revenue recognition, and cash application. Partners with business, finance, operations, technology, and executive stakeholders to create process maps, governance standards, transformation roadmaps, and future-state designs. Facilitates workshops, identifies risks and control gaps, supports ERP modernization, evaluates workflow improvements, and develops executive-ready recommendations and documentation. Travel up to 10% is required.

Lead enterprise cloud architecture, application modernization, and migration to Azure Government IL5. Design secure, scalable cloud-native architectures, Azure networking, identity, Kubernetes environments, data lakes, AI/ML capabilities, hybrid integrations, and DevSecOps governance aligned with DoD Zero Trust principles. Establish reference architectures and modernization roadmaps while providing technical leadership, architectural oversight, and mentorship across engineering teams.

Lead enterprise architecture to align technology strategy with business goals. Design cross-domain architectures, roadmaps, standards, and governance. Drive solution delivery, cloud and data architecture, vendor evaluations, risk/ROI analysis, and stakeholder communication to enable large-scale transformation and ensure compliance and reusable reference architectures.

Leads enterprise architecture and engineering strategy for stability, resilience, reliability, recoverability, security, and performance. Defines reference architectures, standards, governance controls, automation, and maturity frameworks across customer journeys and technology ecosystems. Identifies systemic risks and recovery gaps, guides highly available and fault-tolerant system design, integrates resilience into delivery pipelines, influences executives and engineering teams, and mentors architecture leaders.

As an Enterprise Revenue Architect, you will lead revenue transformation initiatives, guide customer strategy, and optimize workflows for Gong's AI Operating System to achieve measurable business outcomes and enhance customer engagement.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.

Lead technical architecture for a VA acquisition modernization program: define integration, data, application, and security architectures across Appian, Palantir, legacy VA systems and cloud; establish standards, lead design sessions, support ATO activities, review technical designs, and mentor technical staff.

Lead architecture, modernization, integration, governance, and lifecycle management of enterprise digital platforms. Provide strategic technical leadership across Microsoft 365/SharePoint, Azure, Drupal, .NET and integrations, establish standards and DevSecOps practices, ensure federal cybersecurity and accessibility compliance, and mentor engineering teams to deliver secure, scalable, mission-focused solutions.

Leads the integrated technical architecture for an enterprise-scale application hosting, compute, and storage program. Establishes target-state architecture, engineering standards, modernization roadmaps, reusable cloud and platform patterns, and governance processes across AWS, Azure, on-premises, hybrid, Kubernetes, OpenShift, storage, and virtualization environments. Guides security, resiliency, observability, FinOps, disaster recovery, migration, and operational readiness decisions while presenting solutions to government executives and mentoring technical teams.

Design and maintain enterprise security architecture for ICAM applications; integrate security controls across applications, cloud, infrastructure, and DevSecOps; support security assessments, ATO documentation, vulnerability remediation and POA&M management; work with development teams to enforce SDLC security and resolve high-severity findings.

Solutions Architect leads customer adoption of Databricks solutions, designs data systems, consults on big data architecture, and develops implementations.

Senior technical leader responsible for architecting and operationalizing generative AI across the enterprise. Drive end-to-end GenAI architecture, select models and agent frameworks, productionize RAG and agent solutions, ensure observability, guardrails, and cost optimization, integrate with AWS and DevOps toolchains, advise CXO stakeholders, shape AI strategy, and define governance and upskilling programs.

Lead pre-sales scoping and design for enterprise customers, create Statements of Work, align sales and post-sales teams, participate in handoffs and kickoffs, and improve Professional Services GTM through playbooks and process refinements to increase win rates and speed time-to-value.

Lead architecture and evolution of enterprise observability platforms (APM, infrastructure monitoring, session replay, log analytics). Define integration patterns, telemetry standards, and governance. Partner with Engineering, SRE, Product, and Infrastructure to embed observability best practices, evaluate new technologies (OpenTelemetry, distributed tracing, AI-driven observability), drive platform standardization, and manage vendor relationships to improve MTTD/MTTR and system reliability.

Define and govern end-to-end enterprise architecture across frontend, backend, integration, and cloud platforms. Establish architectural vision, guardrails, and decision frameworks; drive platform strategy, resilience, scalability, and governance. Collaborate with architects, tech leads, product, security, and operations; mentor technical leaders and guide platform, frontend, backend, and cloud implementations for web, mobile, desktop, and retail environments.

The role focuses on driving revenue transformation for Financial Services by partnering with senior leaders, designing strategies, and ensuring adoption of Gong's AI Operating System for measurable outcomes.

The Enterprise Systems Architect oversees Schellman's technology architecture, focusing on integrations, backend systems, and digital experiences, while ensuring collaboration across various teams and departments.

Own technical solutioning from discovery through implementation for enterprise customers, especially in Energy. Design end-to-end cloud/edge/device architectures, lead technical workshops, produce proposals and SOWs, integrate solutions with enterprise systems (APIs, identity, GIS, robotics), partner with Product and Delivery, support pilots and deployments, and maintain repeatable demos to drive commercial outcomes.