Senior Manager AI Platform Architecture

Job Number: 26-01060

Use your skills where innovative technology solutions begin. ECLARO is looking for a Senior Manager AI Platform Architecture for our client in Bolingbrook, IL. ECLARO’s client is a leading technology solutions provider collaborating with customers to manage their needs and achieve success in their business goals. If you’re up to the challenge, then take a chance at this rewarding opportunity!

• The Senior Manager, AI Platform Architecture is a hands‑on leader responsible for the architecture and evolution of our core AI platforms.
• In this role, will manage a team of skilled engineers and architects, collaborate with cross‑functional stakeholders, and help set the strategic direction of platform architecture to ensure scalability, performance, and reliability across our systems.
• The expertise in platform architecture, cloud technologies, automation, and AIML Ops practices will be critical in driving our strategy and ensuring the reliability and efficiency of our systems.

• Strategic Platform Leadership:
  • Translate enterprise AI strategy defined by the AI Architect Principal, Enterprise Architecture, Enterprise AI Tech Leaders (AI Engineering, DS / ML Engineering, AI Emerging Tech), AI Product Teams into actionable platform roadmaps and technical priorities.
  • Partner with data, cloud, security, and infrastructure teams to define the end‑to‑end AI architecture framework, including compute, model lifecycle, and deployment strategies.
  • Evaluate emerging technologies and recommend platform enhancements to improve model performance, scalability, and sustainability.
  • Define and deliver AI / ML / Agentic operations strategy - including tool suite, standards, and technology / capability roadmap.
  • Establish POV on key evaluations - including, but not limited to "buy v. build", platform assessments, tool comparisons, cost / performance optimizations.
  • Drive the technical strategy for the platform, balancing short‑term needs with long‑term scalability and reliability.
  • Design, implement, and scale cloud‑based infrastructures (GCP and Databricks) to support internal and external applications.
  • Oversee platform architecture decisions, ensuring that the platform is robust, efficient, and capable of supporting growing business needs.
• Architecture Design and Governance:
  • Lead the design of core AIML platform components—data pipelines, model training and inference engines, orchestration workflows, and monitoring frameworks.
  • Design for continuous training pipelines and promote automation capabilities where possible.
  • Establish architectural best practices, patterns, and standards for AI / ML development and deployment.
  • Oversee design reviews and ensure compliance with enterprise architecture and regulatory requirements.
  • Design and build platform to meet AI Governance requirements (including application of controls and measurement of controls). Ensure observability requirements can be met.
• Cross‑Functional
  
  Collaboration:
  • Work closely with product, data science, engineering, and security teams to operationalize AI / ML capabilities across the enterprise.
  • Partner with the AI Architect Principal and AI Solution Architects to align agentic platform evolution with organizational priorities and technology roadmaps.
  • Collaborate with security and operations teams to ensure the platform is secure, compliant, and maintains high uptime and reliability.
  • Engage with leadership to align technical initiatives with organizational objectives.
• Team Leadership and Talent Development:
  • Manage and mentor a team of AI engineers, AI architects, and AI Ops engineers.
  • Foster a high‑performance culture emphasizing innovation, collaboration, and agile delivery.
  • Support career development, technical upskilling, and diversity in AI technology roles, specifically those aligned into the Architecture space. Mentor and guide junior team members.
  • Conduct regular performance reviews, provide career development guidance, and support team members' growth and skill development.
  • Own hiring, onboarding, and team‑building activities to ensure the team has the right talent and skills.
  • Provide hands‑on technical leadership, leading by example…