NewAI Engineer StefaniniAI EngineerDearborn, MI$61–$66 / hourTemporaryContractorArchitect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. You will be responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming.
AI Strategist - Pontiac, MI Digital Technology SolutionsAI Strategist - Pontiac, MIPontiac, MIContractorFull timeCollaborates with cross-functional stakeholders to identify high-value use cases, gather requirements, prepare data, select, train, validate, and deploy AI models and applications. - Continuously evaluates emerging AI technologies, research, and industry trends to ensure the organization remains at the forefront of AI innovation and delivers measurable business value.
NewAI Agent Engineer Pure TalentAI Agent EngineerDearborn, MI$60–$65 / hourContractorThe ideal candidate will have strong Python, LLM, agent framework, and cloud experience, with a focus on scalable, secure, and production-ready AI solutions on Google Cloud Platform (GCP). We are seeking an AI/LLM Engineer to build and deploy production-grade multi-agent AI systems, RAG pipelines, and intelligent automation.
NewSenior AI Agent Engineer FORDSenior AI Agent EngineerDearborn, MI$60–$70 / hourContractorDeploy AI services on Google Cloud Platform (GCP) using technologies such as BigQuery, Cloud Run/GKE, Vertex AI, and Pub/Sub. Design and productionize RAG systems using embeddings, vector databases, chunking, retrieval, and reranking.
AI Specialist V2SoftAI SpecialistPontiac, MIEnvironment: Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data visualization tools (Tableau, PowerBI). Develops roadmaps that prioritize impactful innovation initiatives while fostering knowledge sharing, cross-functional collaboration, and sustainable adoption across the organization.
NewAI Engineer with Banking Experience Shiftcode Analytics, IncAI Engineer with Banking ExperienceDetroit, MIThis role requires strong hands-on Python development skills combined with a solid understanding of banking/financial services environments — including data sensitivity, regulatory considerations, and enterprise system constraints. Key Responsibilities Design, develop, and deploy AI/ML models and pipelines to support banking operations, risk, fraud detection, underwriting, customer experience, or process automation use cases.
Senior Director Data Analytics & AI VenteonSenior Director Data Analytics & AINovi, MIThis executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth, operational excellence, and digital transformation. If you are a high performer and would like to work for an equally high performing company and you think the above opportunity is appropriate for you, we invite you to submit your resume in Microsoft Word format to abarry@venteon.com.
Agentic AI engineer ICONMA, LLCAgentic AI engineerDetroit, MI$50 / hourDesign, develop, and support cloud-native automation and Al agent workflows using Python and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized architectures. Agentic RAG 2.0: Develop "iterative retrieval" systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
AI Engineer Max AIAI EngineerBirmingham, MichiganBuild, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management. Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models).
AI Engineer Max AI, Inc.AI EngineerBirmingham, MI$150,000–$250,000 / yearBuild, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management. Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models).
Senior Data Engineer – Agentic AI, Automation, and Data Platforms GMSenior Data Engineer – Agentic AI, Automation, and Data PlatformsWarren, MichiganThe engineer will build reliable data platforms and use technologies such as Cursor, large language models, Vector Search, Databricks agents, RAG, and similar tools to accelerate engineering delivery and enable intelligent data experiences. Build automation and reusable engineering workflows using tools such as Cursor, Claude, LLMs, Databricks agents, and related technologies to improve development speed, testing, documentation, troubleshooting, and operational efficiency.
NewSenior Software Engineer, AI BDO International LtdSenior Software Engineer, AIDetroit, MI$110,000–$140,000 / yearKeywords: AngularJS, React, NET MVC, C#, Java, NodeJS, HTML, CSS, SASS, SQL Server, Oracle, MySQL, SQL, Queries, Functions, Stored Procedures, Azure Cosmos DB, MongoDB, Azure, AWS, Business Intelligence, ADF, SSIS, SSAS, SSRS, Power BI, Mobile Development Experience, Xamarin, Swift, Objective-C, CI/CD Pipeline, GitHub Actions, Azure Pipelines, Gitlab Runners. Job Summary: The Senior AI Software Engineer is responsible for leading the design, development, and implementation of AI-driven systems, with a focus on large language models.
AI Engineer LancesoftAI EngineerDetroit, MI$45This role emphasizes end-to-end backend solution development, cloud-native architecture, and operational deployment using AWS services such as Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker, etc. Job Description:Under limited supervision, the AI Engineer is responsible for designing, developing, and deploying production-ready AI and machine learning solutions that address complex business needs.
NewEnterprise AI Platform Manager GMEnterprise AI Platform ManagerWarren, MichiganWe are seeking an Enterprise AI Platform Manager to own the reliability, scalability, governance, and evolution of enterprise AI search, assistant, agent, and workflow orchestration capabilities in a complex enterprise environment. · Technical fluency sufficient to understand platform architecture, integrations, dependencies, operational metrics, and engineering tradeoffs, and to partner effectively with engineering teams; hands-on software development is not required.
Senior AI Engineer OneStream SoftwareSenior AI EngineerBirmingham, MIRemote$131,000–$170,000 / yearIt's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. In this position, you will also play a key leadership role, collaborating with cross-functional teams including Solution Engineering, AI Delivery, and Cloud Engineering.
AI Engineer OneStream SoftwareAI EngineerBirmingham, MIRemote$95,000–$133,000 / yearIt's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing.
Associate AI Engineer OneStream SoftwareAssociate AI EngineerBirmingham, MIRemote$87,000–$116,000 / yearIt's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing.
Full-Stack AI Developer H.W. Kaufman GroupFull-Stack AI DeveloperFarmington Hills, MichiganFull timeIts charter is to deliver high-impact solutions across quick-strike and deep-dive engagements, partner closely with business stakeholders, transition proven solutions to sustaining teams, and stop initiatives quickly when they are not proving value. Azure and cloud services — Azure App Services, Azure Functions, Logic Apps, Azure SQL, Storage Accounts, Key Vault, Service Bus, Entra ID, Azure DevOps, or similar cloud-native services.
Staff AI Engineer – Analytics & Domain Intelligence GMStaff AI Engineer – Analytics & Domain IntelligenceWarren, MichiganThis role focuses on turning complex data into clear, natural-language answers to important business questions—not generic chatbots or demos, but real systems that help people ask better questions, get trusted answers, and make decisions faster. You will help turn reusable data products into AI-ready experiences that support engineers, analysts, product teams, leaders, customer care teams, service operations, and other users across the enterprise.
Lead AI Workflow Engineer - Enterprise Transformation GMLead AI Workflow Engineer - Enterprise TransformationWarren, MichiganFrom the software and core IT side of the transformation, you will focus on eliminating manual effort, simplifying workflows, improving consistency, and enabling business teams to operate effectively across Google Workspace, enterprise platforms, and AI-enabled environments. You will partner closely with product, engineering, technical program management, security, and business stakeholders to turn high-value manual processes into scalable solutions and to contribute reusable patterns that can be adopted broadly across GM.