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Architects enterprise digital commerce transformations using Adobe Commerce Cloud, Adobe Commerce Optimizer, App Builder, API Mesh, and AI technologies. Designs composable, headless, agentic, and SaaS-modernized commerce ecosystems; guides migrations from monolithic or PaaS architectures; develops integration patterns for AI search, recommendations, support, inventory, and pricing; and establishes governance for secure, ethical AI adoption. The role also uses AI and LLM tools for system modeling, architecture blueprints, code and API audits, data-flow mapping, and legacy modernization strategies.

Architect Adobe Commerce extensions, serverless infrastructure, AI microservices, agents, and API Mesh integrations. Establish AI-assisted coding, testing, review, security, and coding standards across engineering teams. Optimize Core Web Vitals, edge caching, GraphQL performance, and secure upgrade-safe App Builder implementations. Build proof-of-concepts for AI agents, checkout experiences, and edge functionality. Serve as the technical authority for Adobe Commerce out-of-process extensibility and performance engineering.

Acts as the bridge between business stakeholders and technical teams on Adobe Commerce projects. Leads requirements discovery for B2B and B2C commerce, translates needs into epics, user stories, process maps, specifications, and acceptance criteria, and maps requirements to Adobe Commerce capabilities. Manages and prioritizes backlogs in Jira or Azure DevOps, supports Agile ceremonies, defines UAT scenarios, and advises on AI-driven personalization, search, recommendations, segmentation, and merchandising.

Define and lead ServiceNow architecture and target-state roadmaps, ensure best-practice scalable implementations, design integrations and CMDB/CSDM strategies, provide technical leadership across delivery, support AI-enabled ServiceNow capabilities, and collaborate with stakeholders to ensure platform sustainability and governance.

Provides architectural leadership for MuleSoft and enterprise integration initiatives. Defines API-led connectivity strategies, security frameworks, governance standards, roadmaps, and reusable integration patterns. Designs integrations across Salesforce, ERP, data platforms, warehouses, and cloud applications, including event-driven architectures. Leads architecture reviews, proofs of concept, technical discovery, Agile solution design, and delivery support. Oversees observability, monitoring, CI/CD, and operational excellence while mentoring technical teams and managing stakeholder dependencies, risks, and integration challenges.

Leads end-to-end Salesforce data migration and integration initiatives. Designs ETL processes, writes SQL and SOQL queries, develops automation scripts, performs data profiling and transformation, resolves migration issues, and ensures data quality, security, governance, reconciliation, and cutover readiness. Collaborates with Salesforce, integration, and business teams while documenting repeatable migration procedures and leveraging AI tools.

Design, deploy, and operate secure, scalable GCP infrastructure and platform services. Responsibilities include Terraform-based infrastructure, GKE and Kubernetes operations, CI/CD automation, cloud networking, observability, IAM, security controls, cost optimization, incident response, and documentation. The engineer will mentor junior staff, review infrastructure code, support migrations and multi-tenant platforms, and collaborate with engineering, product, security, and compliance teams.

Lead technical consultant responsible for full-stack feature development of healthcare portal applications. Duties include translating requirements into UI/UX and technical designs, building Angular frontends and C# ASP.NET Core backends, designing databases, integrating external systems, ensuring performance, security, compliance, mentoring engineers, and contributing to architecture, testing, and CI/CD on Azure.

The Director of Organizational Change Management leads enterprise change initiatives, develops strategies to ensure adoption, and partners with executives to drive transformation.

Design and lead scalable Salesforce Sales Cloud solutions, scope projects, advise clients as a trusted technical lead, guide and QA consultant work, manage risks, and leverage AI tools (Einstein/Agentforce) to improve sales processes across pipeline, forecasting, and opportunity management.