
Senior Manager, AI – Enterprise Architecture
Posted Sep 10

Posted Sep 10
This is a fully remote position, open to applicants in United States.
• Lead the technical implementation of iDirect’s AI-driven Business Excellence transformation.
• Establish architectural guidance while creating and providing AI-enhanced solutions, integrations, and platform capabilities.
• Design, construct, and deploy AI-focused and automation solutions throughout business processes.
• Develop use cases for automating bid management, optimizing financial reporting, and enhancing Salesforce/customer workflows.
• Prototype, develop, troubleshoot, and quickly deliver impactful use cases from concept to production.
• Define and advance the architecture of the enterprise AI platform, encompassing a unified data fabric, AI orchestration layer, and API-first integration strategies.
• Convert business requirements into scalable, reusable, secure, and compliant solution architectures and blueprints.
• Collaborate with business stakeholders to link initiatives to measurable KPIs such as cycle-time reduction, cost savings, productivity improvements, CSAT, and revenue impact.
• Establish and oversee the Architecture Review Board, enforcing approved platforms, reusable components, and standardized integration patterns.
• Design and implement architecture across Salesforce, SAP/Finance systems, Jira, and Confluence.
• Develop and lead API integrations, event-driven workflows, data pipelines, and AI data layers.
• Create reusable solution templates, architectural patterns, and AI/automation components.
• Serve as a hands-on escalation point for complex technical issues.
• Ensure that solutions adhere to standards for scalability, security, maintainability, and cost-effectiveness.
• Act as a technical liaison between business, ELT, and engineering teams.
• Promote alignment among Business Excellence, AI, DevOps, and IT functions, ensuring adoption and business impact.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 8–12+ years of experience in enterprise technology, solution architecture, or platform engineering.
• Demonstrated experience in building and delivering production-grade solutions, beyond mere design.
• Experience in leading architectural direction while remaining hands-on.
• Strong practical experience with AI/ML platforms, including LLMs, copilots, and AI services.
• Familiarity with automation frameworks and orchestration tools.
• Proficient in API and integration development.
• Experience with cloud platforms, preferably Azure.
• Knowledge of data pipelines and analytics platforms.
• Familiarity with enterprise systems such as Salesforce and ERP.
• Understanding of security, governance, and compliance in AI systems.
• Knowledge of DevOps / DevSecOps practices.
• Player-coach mentality with the ability to lead through building.
• Capability to transition from concept to architecture to working solutions at scale.
• Focus on execution and measurable results.
• Ability to uphold standards without impeding delivery.
• Strong systems thinking across processes, data, and technology.
• Comfort in navigating ambiguity and fostering clarity.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company matching.
• Flexible work hours and remote work options.
• Opportunities for professional development and continuous learning.
• Collaborative and inclusive work environment.
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