AI Engineer

• Execute functional bring-up and system integration on subsystem and system benches
• Evaluate system interactions across compute platforms, ECUs, sensors, and vehicle software
• Execute functional, performance, and validation tests using simulation, HIL, SIL, benches, and on-road fleets
• Develop Python-based automation and supporting tools to improve testing efficiency and accelerate development cycles
• Analyze test data, document results, consolidate findings, and support root-cause investigations
• Support creation of datasets, scenario libraries, and automated test pipelines for HIL and SIL environments
• Identify problem statements, outline effective solutions, and account for tradeoffs and edge cases
• Participate in technical discussions, test planning, design reviews, and cross-functional problem-solving
• Collaborate with software, hardware, systems, safety, and vehicle engineering teams to ensure seamless system integration
• Communicate test results, technical findings, and recommendations clearly across multiple stakeholders

Summer Intern – Software Verification Engineer, AV/AI Platform

• Implement the ServiceNow Compliance roadmap
• Partner with Compliance, Internal Audit, Cybersecurity, and Business stakeholders
• Ensure regulatory and audit requirements are supported through ServiceNow solutions
• Increase workflow automation adoption in and off the platform
• Define the enterprise AI roadmap and governance within ServiceNow
• Drive adoption of Now Assist, Generative AI, Predictive Intelligence, AI Search, Virtual Agent, AI Agents, and AI Control Tower
• Identify high-value AI use cases and build business cases
• Ensure responsible and compliant use of AI technologies
• Serve as a strategic bridge between Security, Risk & Compliance organizations and Platform Transformation teams
• Drive platform value realization and adoption of modern ServiceNow capabilities while maintaining alignment with enterprise architecture and security standards

ServiceNow Compliance – AI Lead

• Design and build production-grade LLM applications, RAG solutions, and tool-using AI agents
• Build retrieval pipelines covering ingestion, chunking, embeddings, hybrid search, reranking, grounding, and citations
• Develop maintainable Python services, APIs, and reusable AI components
• Deploy and operate solutions using automated testing, CI/CD, containerization, logging, and monitoring
• Create evaluation datasets and automated tests measuring task success, groundedness, safety, latency, and cost
• Monitor production systems for drift, failures, and cost anomalies
• Apply responsible AI controls throughout the development lifecycle
• Partner with Product, Software Engineering, Data Science, and Data Engineering to bring solutions from concept to production
• Engage directly with planners, schedulers, and other end users to understand workflows and pain points
• Evaluate emerging AI technologies based on business value, quality, and cost
• Establish reusable patterns for the wider team

Senior AI Engineer

• Develop and maintain enterprise architecture strategies aligned to supply chain business objectives and transformation priorities.
• Define future-state business capabilities, operating models, information architectures, and technology roadmaps.
• Lead architecture governance and solution reviews.
• Partner with business leaders on modernization, simplification, automation, and innovation.
• Advise on technology investments, architecture decisions, and transformation initiatives.
• Architect AI-enabled supply chain solutions for sensing, prediction, recommendation, and autonomous action.
• Integrate operational systems, enterprise data platforms, analytics, machine learning, generative AI, and agentic AI capabilities.
• Define AI-powered approaches for planning, inventory optimization, logistics visibility, supplier collaboration, risk management, and decision support.
• Lead architecture for data products, semantic models, integration platforms, APIs, event-driven architectures, and analytical ecosystems.
• Connect SAP S/4HANA, Blue Yonder, manufacturing systems, cloud services, and enterprise data platforms.
• Improve end-to-end visibility, data quality, governance, and business insights.
• Partner with product, engineering, data, analytics, and platform teams to solve complex challenges.
• Lead architecture reviews and technical decision-making across scalability, performance, maintainability, security, and cost.
• Prototype and evaluate emerging technologies and architecture patterns.
• Provide technical leadership from proof of value through production deployment.
• Mentor architects and engineers through design reviews, coaching, and collaborative problem-solving.
• Define cloud-native architecture strategies leveraging Azure and Google Cloud Platform.
• Establish patterns for APIs, microservices, event-driven solutions, data pipelines, analytics platforms, and AI workloads.
• Promote modern engineering practices, automation, and DevSecOps.
• Ensure alignment with security, privacy, regulatory, and compliance requirements.
• Embed security-by-design and responsible AI principles.
• Promote architecture standards, governance processes, and reusable patterns.

Consulting Architect, AI-Enabled Supply Chain

• Build ETL/ELT pipelines that extract data from source code, APIs, file formats, and documentation and load it into a structured knowledge store
• Design and maintain schemas and semantic data models capturing entities, relationships, and capabilities
• Construct and maintain knowledge graphs over heterogeneous product data
• Develop source and metadata parsers, including source-code/AST parsing, to extract structure automatically
• Build typed programmatic interfaces and data-access layers over the knowledge layer
• Implement retrieval and indexing layers, including embeddings and RAG, over product knowledge
• Work with domain engineers to decompose complex product workflows into discrete, callable operations
• Assess data sources for coverage, quality, and schema completeness across multiple products
• Build structured knowledge and interfaces over product capabilities across multiple products
• Collaborate closely with domain engineers who provide subject-matter expertise

AI Engineer jobs in Michigan

Summer Intern – Software Verification Engineer, AV/AI Platform

ServiceNow Compliance – AI Lead

Senior AI Engineer

Consulting Architect, AI-Enabled Supply Chain

AI Engineer, Ontologies, Knowledge Graphs