Senior Manager, AI & Enterprise Architecture

ST Engineering iDirect

WorldwideremotePosted 1 month ago

Skill Required

AI-ArchitectureSolutions-ArchitectAI-Platform-EngineeringAI-ML-EngineerTechnology-LeadershipSenior-Enterprise-Architecture-ManagerSenior-AI-ArchitectSenior-IT-Enterprise-ArchitectSenior-AI-Adoption-ArchitectSenior-AI-and-Analytics-ManagerSenior-Manager-In-AISenior-Enterprise-Business-ArchitectDirector-of-Data-and-AI-ArchitectureAIDesign Patternsrelated fieldPrototypingEngineeringSalesforceautomationUnreal EngineJiradesigningdebugginganalyticssecuritybuildingetc.)designDevOpsAzureCloudAPIsGenerative AISAPandETLMachine LearningFulltime

Key highlights

Reporting to the VP, Technology & Information Security
8–12+ years in enterprise technology, solution architecture, or platform engineering
Cloud platforms (Azure preferred)
Experience with Salesforce and ERP systems
Hands-on experience with AI/ML platforms (LLMs, copilots, AI services)
Player-coach role requiring both deep technical execution and architectural leadership

Role overview

At ST Engineering iDirect, the Senior Manager, AI & Enterprise Architecture is responsible for driving the technical realization of iDirect's AI-powered Business Excellence transformation through a combination of hands-on execution and architectural leadership. Reporting to the VP, Technology & Information Security, this role defines architectural direction while actively building and delivering AI-enabled solutions, integrations, and platform capabilities that reduce manual effort, improve decision-making, and accelerate time-to-value. This is a player-coach role requiring both deep technical execution and the ability to set standards, guide architecture, and scale solutions across the enterprise. This role owns both the design and delivery of AI-enabled solutions and enterprise architecture, ensuring business initiatives are translated into scalable, reusable, and measurable outcomes. Key focus areas include enterprise AI platform architecture and solution design, hands-on development and deployment of AI/automation solutions, business-driven solutioning tied to measurable outcomes, platform standardization and reuse, and integration, data, and orchestration architecture. The role operates across architecture → build → scale, ensuring that what is designed is also successfully implemented and adopted.

Responsibilities

Design, build, and deploy AI-driven and automation solutions across business processes
Develop and implement use cases such as: Bid management automation; Financial reporting optimization; Salesforce and customer workflow enhancements
Build solutions using: AI platforms (Copilot, Dataiku, LLM-based services); Workflow automation / orchestration tools; APIs and integration layers
Actively contribute to prototyping, development, and solution debugging
Drive rapid delivery of high-impact use cases (POC → production)
Personally deliver and unblock critical solutions, not just direct teams
Define and evolve the enterprise AI platform architecture, including: Unified data fabric; AI orchestration layer; API-first integration strategies
Translate business needs into end-to-end solution architectures and blueprints
Establish and enforce architecture principles, design patterns, and best practices
Ensure solutions are scalable and reusable, secure and compliant, built on shared platforms (not siloed tools)
Partner with business stakeholders to translate prioritized initiatives into implementable solutions
Ensure all work ties directly to measurable KPIs: cycle time reduction, cost savings, productivity gains, CSAT / revenue impact
Provide technical leadership on high-priority Business Excellence initiatives
Establish and lead Architecture Review Board (ARB)
Enforce use of: Approved platforms, reusable components, standardized integration patterns
Prevent tool proliferation and fragmented AI adoption
Drive consolidation into a centralized AI platform model
Design and implement architecture across core enterprise systems: Salesforce; SAP / Finance systems; Jira / Confluence
Build and guide: API integrations, event-driven workflows, data pipelines and AI data layers
Enable cross-system intelligence and automation at scale
Create reusable assets including: solution templates, architecture patterns, AI and automation components
Standardize solution delivery to reduce: time-to-solution, integration complexity
Act as a hands-on escalation point for complex technical challenges
Ensure all solutions meet standards for scalability, security, maintainability, cost efficiency
Balance speed vs architectural integrity
Reduce long-term technical debt while enabling fast execution
Act as the technical bridge between business, ELT, and engineering teams
Influence prioritization using: value vs effort, architectural tradeoffs
Drive alignment across Business Excellence, AI, DevOps, and IT functions
Ensure strong adoption and real business impact of delivered solutions

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
8–12+ years in enterprise technology, solution architecture, or platform engineering
Proven experience building and delivering production-grade solutions (not just designing)
Experience leading architecture direction while remaining hands-on
Strong hands-on experience with: AI/ML platforms (LLMs, copilots, AI services); Automation frameworks and orchestration tools; API and integration development
Experience with: Cloud platforms (Azure preferred); Data pipelines and analytics platforms; Enterprise systems (Salesforce, ERP, etc.)
Understanding of: Security, governance, and compliance in AI systems; DevOps / DevSecOps practices