Lead Architect - Information Technology

Fisher Dynamics•St. Clair Shores, MI

4d•Onsite

About The Position

Fisher Dynamics is seeking a Lead Architect to provide strategic technical leadership and overall architecture direction for the company's transition from its current ERP system to a custom, AI-native ERP platform. This role will define the end-to-end system architecture, technology stack, and AI integration strategy to power core business operations. The Lead Architect will also lead cross-functional technical teams, coordinate with business stakeholders, manage a 24-month roadmap execution, and ensure successful platform delivery. This position requires a blend of deep technical architecture expertise and strong project/program management capabilities to deliver an enterprise-grade, scalable, and secure ERP platform that will provide Fisher Dynamics with a competitive advantage.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.
7-10 years of professional software engineering and architecture experience
Demonstrated experience architecting and leading large-scale platform or ERP system implementations required.
Proven experience as a technical leader, architect, or PM leading cross-functional engineering teams on enterprise projects.
Expert-level proficiency in backend languages (Python, Java, C++, Go) and modern architecture patterns.
Deep expertise in relational and distributed database design, optimization, and data architecture.
Advanced knowledge of cloud platforms (AWS, GCP, Azure) and cloud-native architecture design.
Mastery of API design (REST, GraphQL, event-driven), microservices, and distributed systems.
Strong DevOps and infrastructure-as-code expertise (Terraform, Kubernetes, CI/CD).
Expert understanding of ERP systems, business processes, and enterprise software architecture.
Knowledge of AI/ML integration, model serving, and real-time inference infrastructure.
Security, compliance, and data governance expertise for regulated/mission-critical systems.
Strong program and project management skills with experience leading large technical initiatives.
Exceptional communication and presentation skills for both technical and executive audiences.
Ability to make architectural trade-off decisions and communicate rationale.
Leadership and mentoring capabilities with experience building and scaling technical teams.
Experience with ERP platforms (SAP, Oracle, NetSuite, Plex, custom builds) is required.
Candidates MUST be local to the Metro Detroit Area.
Candidates must be legally authorized to work in the US without requiring sponsorship now or in the future.

Nice To Haves

Master's degree in related field preferred.
Experience designing AI/ML-integrated systems or platforms strongly preferred.

Responsibilities

Define the overall ERP platform architecture, technology stack, and design principles for the 24-month Brute Force AI initiative.
Architect AI-native design patterns, APIs, and data structures that seamlessly embed machine learning and LLM capabilities into core ERP workflows.
Establish technical standards, coding conventions, security best practices, and data governance policies.
Design scalable, modular architecture that supports incremental feature delivery across four phases.
Lead and mentor technical teams: SW Engineers, ML/AI Engineers, Data Engineers, and QA engineers.
Make critical technical decisions on platform design, technology choices, and architectural trade-offs.
Conduct design reviews, code reviews, and ensure technical excellence across all teams.
Foster collaborative engineering culture and share architecture vision with all team members.
Oversee the 24-month roadmap execution across four phases: Foundation, Data Layer, AI Platform, and Scale.
Define technical milestones, dependencies, and delivery timelines aligned with business objectives.
Manage cross-functional technical dependencies and coordinate integration between platform components.
Track technical progress, identify risks and blockers, and drive resolution.
Present technical architecture and progress to Director – IT/DT and executive leadership.
Communicate technical strategy, key decisions, and trade-offs to business stakeholders.
Translate business requirements into technical specifications and architecture decisions.
Gather technical feedback and incorporate into platform design and roadmap.
Design the integration between ML/AI models and core ERP systems for intelligent operations.
Define data pipelines, feature engineering strategies, and real-time model inference infrastructure.
Establish data governance, security, and compliance architecture for sensitive financial and operational data.
Oversee data migration from Plex and ensure data quality and integrity.
Design cloud-native architecture on AWS, GCP, or Azure for ERP platform scalability, reliability, and security.
Define deployment architecture, CI/CD pipelines, infrastructure-as-code, and monitoring/observability strategies.
Ensure disaster recovery, high availability, and business continuity planning.
Optimize cloud costs and resource efficiency across environments.
Maintain deep understanding of ERP workflows: financial management, supply chain, manufacturing, inventory, procurement.
Understand how AI/ML enhances each domain: forecasting, optimization, anomaly detection, automation.
Ensure platform architecture supports complex business rules and regulatory compliance requirements.
Translate manufacturing and supply chain domain challenges into technical requirements.