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Position Summary

We are seeking a highly skilled and motivated Platform Engineer to develop, maintain, and enhance MPC’s AI landscape.  This position plays a key role in supporting and driving innovation of AI Technologies within the Digital Employee Experience (DEX) Organization.  The ideal candidate will have a strong background in platform engineering, cloud technologies, and AI/ML frameworks. This role will involve working closely with Product Owners of AI Technology utilized by MPC, data scientists, software developers, and other engineers and architects to ensure the seamless integration and performance of AI-driven solutions.  This role involves helping set strategy and direction for MPC’s existing AI Bot (MollyQ) and utilization and implementation of Microsoft’s Copilot Studio. 

This role requires a blend of technical expertise, business acumen, and excellent communication skills to effectively collaborate with various departments and stakeholders. 

This position belongs to a family of jobs with increasing responsibility, competency, and skill level. The actual position title and pay grade will be based on the selected candidate’s experience and qualifications.

Key Responsibilities

• Identifies performance bottlenecks, conducts root cause analysis, and proposes and implements solutions to enhance platform & system performance and resource utilization. Establishes performance benchmarks, conducts capacity planning, and collaborates with other teams, including junior engineers and cross functional teams to optimize infrastructure performance and activities.
• Contributes to the development and improvement of troubleshooting procedures, measures to minimize platform & system downtime, and documentation. Partners with vendor technical support to drive for resolution. Leads and manages platform & system technical support activities and troubleshooting efforts, including handling escalated and complex issues. Performs advanced system tuning and optimization to maximize performance using IT Service Management practices. Collaborates with internal teams to enhance support processes and methodologies.
• Participates in future platform & system backup planning. Leads the design of disaster/system recovery and testing.
• Analyzes performance and utilization data to identify trends and patterns; provides recommendations for optimization and improvement; prepares comprehensive reports on infrastructure performance; and implements corrective actions to drive continuous system improvements.
• Leads the design and configuration of complex platforms & systems, considering best practices and industry standards. Leads ongoing compliance with original design and configuration and corrects for deviation from standards. Builds and deploys highly available and scalable infrastructure solutions. Provides support and conducts analytics for MPC’s existing AI Bot (MollyQ).  Provides support and conducts analytics for MPC’s existing AI Bot (MollyQ). Provide support and conducts analytics for MPC’s existing AI Bot (MollyQ).
• Leads the creation and maintenance of a comprehensive knowledge base for platforms & systems, including troubleshooting guides, configuration documentation, design, deployment, maintenance procedures, and best practices. Promotes knowledge sharing culture by organizing training sessions, mentoring junior engineers, and encouraging cross-team collaboration.
• Works with Product Owner to set strategic direction and build roadmap for AI Technology within the DEX Collaboration Organization, and collaborates with other AI Engineers and teams to understand MPC’s AI Ecosystem to ensure DEX AI roadmaps are in alignment with MPC’s overall strategic objectives
• Assist with driving awareness and adoption campaigns for DEX AI Technologies by collaborating with business representatives to understand their needs and strategies and translate them into technical requirements.
• Provide training, support and best practices to IT architects, engineers, and developers on DEX AI products.
• Implement Security Measures to Ensure the security and compliance of AI infrastructures, implementing best practices and protocols.

Education and Experience

• Bachelor’s Degree in Information Technology, related field or equivalent experience preferred.
• 5+ years of relevant experience required.
• Experience in platform engineering, cloud technologies, and AI/ML frameworks.

Skills

• Cloud Infrastructure Management - Setting up, configur