AI Engineer

• Own the enterprise AI Governance architecture roadmap and technical implementation for OneTrust and associated GRC platforms.
• Define and lead enterprise architecture for AI Governance and Cyber GRC workflows.
• Own end-to-end AI governance lifecycle design: intake, classification, risk tiering, review/approval gates, exception handling, monitoring, and periodic reassessment.
• Translate policy and regulatory obligations into technical control patterns and reusable architecture blueprints deployable across UAT and production.
• Design and govern resilient API integrations across OneTrust, Archer, and broader enterprise systems.
• Establish role, group, and organizational segmentation architecture to enforce least-privilege access and scalable governance operations.
• Lead architecture decisions for automation, error handling, observability, incident response, and production support readiness.
• Chair cross-functional architecture reviews and influence risk, compliance, and engineering decision forums on control design and prioritization.
• Mentor engineers and analysts through architecture standards, implementation playbooks, and design quality reviews.

AI GRC Architect

• Lead and mentor teams of data scientists and ML engineers
• Manage client relationships and promote satisfaction with deliverables
• Translate intricate business challenges into AI-driven strategies
• Design and implement AI solution architectures
• Drive innovation and excellence in client engagements
• Analyze data to derive actionable insights and solutions
• Collaborate with stakeholders to align on project objectives
• Uphold exceptional standards of quality and integrity in every task

ERP AI Engineer – Manager

• Analyzing client needs to implement and integrate business applications effectively
• Providing training and support to clients for seamless utilization of software solutions
• Leveraging analytical reasoning to optimize operational efficiency through business applications
• Collaborating with clients to understand and address their strategic objectives
• Utilizing business data analytics to inform insights and recommendations
• Managing project delivery and resource management to meet client expectations
• Implementing technology solutions to support business transformation initiatives
• Developing documentation to support application software implementation and integration
• Engaging in strategic planning to align technology solutions with business goals
• Navigating complex situations to build meaningful client relationships and inspire team members

AI Integration Developer, Senior Associate

• Architect and implement artificial intelligence and machine learning systems addressing diverse business challenges throughout the Bank
• Conduct rigorous data analysis and perform statistical evaluation
• Design experimental frameworks and develop algorithms leveraging both structured and unstructured data
• Create on-demand analytics to fully integrated software systems
• Stay apprised of and educate leaders on emerging AI trends, risks, and opportunities
• Create and maintain model documentation for transparency
• Research, test, and apply state-of-the-art generative AI models and/or solutions
• Develop agentic AI systems capable of autonomous reasoning, planning, and tool utilization
• Create evaluation frameworks to assess model performance
• Translate business questions into analytical problems with clear objectives
• Lead projects with limited supervision, influencing technical direction and standards
• Partner with cross-functional teams to understand business requirements and translate into technical solutions

Principal AI Engineer – AI Transformation

• Develop and maintain relationships with homebuyers, Realtors, builders, financial advisors, and referral partners.
• Guide borrowers through the mortgage process from application through closing.
• Analyze financial information and recommend appropriate loan solutions.
• Build and manage a consistent referral pipeline through networking and relationship development.
• Deliver exceptional customer service throughout the lending process.
• Maintain compliance with all federal, state, and company lending guidelines.
• Grow a sustainable book of business through outstanding client experiences and referral relationships.

Licensed Mortgage Loan Originator

• Own stakeholder relationships across Medbridge’s executive team, working with them to find the problems and AI enabled solutions that can expedite, or remove, the current blockers in the business.
• Design, build, and ship AI-powered features across our internal teams, from the user interface to the backend services and AI workflows behind it.
• Build full-stack applications using AI-native engineering workflows and tools such as Claude, Cursor, Codex, and OpenAI and Anthropic APIs.
• Develop APIs, backend services, and automation pipelines that support intelligent product capabilities and production-ready deployments.
• Apply software engineering, DevOps, and MLOps best practices to the testing, deployment, monitoring, evaluation, and optimization of AI solutions.
• Partner closely with our Product and Engineering teams to turn ambiguous goals into scalable internal products.
• Use AI tooling throughout your workflow (coding, code review, testing, and planning) and help push the team’s adoption forward.
• Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks, and bring what works back to the team.
• Instrument what you ship and use usage data and evidence to decide what to build, fix, or kill next.

Product Engineer – AI

• Provide governance, oversight, and controlled expansion of internal AI tool
• Execute quarterly, risk-based testing program for independent credible challenge
• Collaborate with various stakeholders to review AI initiatives and escalate risks
• Evaluate controls across the AI lifecycle
• Translate regulatory requirements into AI-focused testing procedures
• Develop credible challenge documentation and reporting for governance committees
• Enhance AI testing frameworks and tools

Lead AI Compliance Testing

• Shipping, evaluating, securing, and supporting real systems
• Development on agentic AI engineering technology
• Daily or weekly use of AI coding tools
• Model evaluation and quality measurement
• Maintain active relationships with customers to determine business requirements
• Owns the change request process and coordinates with other teams
• Develop and define application scope and objectives
• Performs technical design reviews and code reviews
• Coordinates and manages on-call support and owns the system monitoring process
• Leads multiple or large projects

Senior AI-Native Software Engineer

• Design, develop, and deploy machine learning models and AI-powered applications
• Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
• Build and maintain data pipelines, model training workflows, and inference systems
• Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
• Monitor model performance, conduct testing, and iterate on improvements
• Document technical architectures, methodologies, and best practices
• Stay current with AI/ML research and translate advancements into practical applications

• Define and evolve enterprise AI architecture, standards, reference models and implementation guidelines to support consistent solution delivery across business functions
• Align AI initiatives to enterprise strategies, roadmaps, and business priorities
• Identify and prioritize AI opportunities that drive student success and operational efficiency
• Design scalable AI platforms and solutions across data, application, and technology domains
• Provide guidance on how AI, ML, and automation will improve current and future-state architectures
• Lead design and implementation of AI-powered solutions (e.g., LLMs, agents, automation, and analytics)
• Integrate AI capabilities with enterprise applications and data platforms
• Guide evaluation and selection of AI/ML models, frameworks, and vendors
• Establish reusable patterns, APIs, and integration approaches
• Establish governance practices covering model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management
• Establish AI governance, including responsible AI, security, privacy, and compliance (FERPA, HIPAA, GDPR)
• Establish lifecycle management practices (MLOps/LLMOps, model monitoring, drift detection, retraining)
• Implement performance, bias, and risk monitoring frameworks
• Ensure secure AI architecture (e.g., data protection, isolation, adversarial defense)
• Partner with business, product, data, and engineering teams to provide AI solutions
• Provide architectural guidance to architects and delivery teams
• Facilitate workshops, POCs, demos and AI adoption projects identifying viable opportunities where AI can be a positive differentiator
• Mentor teams on AI best practices, patterns, and frameworks

Enterprise AI Architect

• The Principal AI Engineer architects and implements artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank, with a strong focus on research and experimentation of generative AI models and agentic systems.
• This role involves conducting rigorous data analysis, performing statistical evaluation, designing experimental frameworks, and developing algorithms that effectively leverage both structured and unstructured data.
• The AI Engineer creates solutions that range from on-demand analytics to fully integrated software systems, working closely with cross-functional teams to align technical solutions with business requirements.
• Staying apprised and educating senior leaders on emerging AI trends, risks, and opportunities.
• Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined.
• Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience.
• While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

• Apply automated testing and governance controls effectively
• Analyze complex issues and provide actionable insights
• Mentor and guide junior associates in their tasks
• Uphold rigorous standards of quality and technical excellence

Senior Associate – AI Engineering

• Manage a focused portfolio of strategic customer co-innovation accounts.
• Support top-to-top meetings, executive briefings, and customer workshops focused on AI, autonomy, and emerging technologies.
• Present Rockwell's co-innovation model and help customers understand how to move from interest to structured engagement.
• Partner with account teams to define customer goals, commercial relevance, and next steps.
• Define and operationalize a scalable co-innovation framework, including governance cadence across sales, R&D, and services stakeholders.
• Track progress, milestones, and outcomes across the co-innovation portfolio; connect engagements to pipeline and revenue impact.
• Facilitate regular updates, decision points, and escalation paths – maintaining commercial alignment and keeping projects properly scoped against agreed objectives.
• Connect co-innovation activity to pipeline, revenue potential, customer proof points, and repeatable use cases.
• Capture insights from customer engagements and share structured feedback with product, R&D, and commercial teams.
• Identify patterns across accounts that can inform future offerings, messaging, or productization opportunities.
• Turn co-innovation outcomes into content for external events, including Automation Fair and customer showcases.
• Partner with marketing, enablement, and commercial teams to package successful engagements into field-ready examples.
• Bring a growth mindset, a bias toward inclusion, and a commitment to integrity and accountability to every program and every team you touch.

Customer Co-Innovation Lead – AI & Autonomy

• Leveraging advanced analytics and statistical techniques to extract insights from large datasets
• Designing and developing robust data solutions to transform raw data into actionable insights
• Applying data science algorithms and machine learning techniques to solve complex business problems
• Building data pipelines and confirming data quality for informed decision-making
• Conducting exploratory and descriptive analysis to inform strategic decisions
• Developing predictive models using programming languages such as R and MATLAB
• Utilizing TensorFlow and Scikit-Learn for deep learning and natural language processing tasks
• Collaborating with team members to adapt to varying client challenges and scopes
• Taking ownership of projects and consistently delivering quality work that drives client value
• Engaging in active listening and communication to appreciate diverse perspectives and needs
• Upholding professional and technical standards while adhering to the Firm's code of conduct

CTIO, AI Engineer

• Lead and coordinate the technical and business discussions on future AI architectural direction
• Analyze, design, and develop a roadmap for AI enabled engineering capabilities
• Review, analyze, and develop architecture at domain level and across multiple teams
• Participate in the enterprise architecture domain governance model
• Lead the research and evaluation of emerging AI technology
• Set model and agent lifecycle practice
• Provide leadership, technology guidance, and mentorship throughout the domain
• Develop peer, cross functional, and cross business relationships
• Lead the AI Engineering team, with the ability to attract, develop, and retain talent

Senior Director, AI Architecture

• Design and implement advanced AI and machine learning solutions
• Analyze intricate challenges and provide actionable insights
• Mentor and guide junior team members in their professional development
• Cultivate meaningful relationships with clients to understand their needs
• Navigate the rapidly changing technology landscape effectively
• Enhance personal knowledge and contribute to team insights
• Collaborate with cross-functional teams to deliver exceptional outcomes
• Uphold professional standards and ethical practices in every engagement

Senior ERP AI Engineer

• Lead the vision, architecture, and roadmap for enterprise AI platforms, including GenAI, LLM integration, Retrieval-Augmented Generation (RAG), and AI-driven search.
• Provide technical leadership across multiple engineering teams; develop engineering managers and senior engineers while establishing standards, guardrails, and governance models.
• Own cloud-native platform design and delivery across Azure and AWS, ensuring scalability, reliability, performance, and cost optimization.
• Oversee MLOps and production operations, including CI/CD pipelines, model deployment, monitoring, evaluation, and lifecycle governance.
• Ensure alignment with enterprise requirements for security, data privacy, compliance, and Responsible AI practices.
• Drive cross-functional collaboration with product, risk, security, and business stakeholders to enable secure and scalable AI adoption.
• Maintain strong awareness of team delivery, technical issues, and platform risks; step in to review designs, code, and architectural decisions as needed.
• Ensure Agile practices are consistently followed, including sprint planning, backlog refinement, and delivery tracking.
• Enforce operational rigor across teams, including keeping Jira artifacts current, transparent, and aligned to priorities.
• Provide ongoing feedback on team performance, resource allocation, and organizational effectiveness to optimize delivery outcomes.
• Manage core people leadership responsibilities, including addressing HR-related matters, supporting employee development, and ensuring team engagement.
• Ensure continuity of delivery through appropriate backup coverage, resource planning, and support during team member absences.
• Oversee administrative responsibilities such as time tracking and compliance with enterprise processes (e.g., timesheets, reporting).
• Continuously identify and drive improvements to increase team velocity, reduce friction, and accelerate platform delivery.

Senior Director, Gen AI Engineering

• Designing and building agentic AI systems including LLM orchestration, RAG pipelines, and multi-agent frameworks
• Leading, mentoring, and growing AI Engineers
• Conducting one-on-one meetings, performance reviews, and identifying career development opportunities
• Establishing engineering practices, coding standards, and technical processes for AI systems

Lead AI Engineer

• Lead the end‑to‑end application architecture for IFS Cloud across Projects, FSM, Resource Management, Manufacturing and Finance.
• Define and govern IFS Cloud reference architectures, design patterns, and guardrails, aligned with Evergreen and SaaS operating principles.
• Promote a configuration‑first mindset, minimizing customization and ensuring long‑term maintainability.
• Translate business and operational requirements into scalable, secure, and supportable IFS Cloud solutions.
• Define environment strategies across DEV, TEST, and PROD, supporting secure delivery and operational stability.
• Design extension strategies using standard IFS capabilities (APIs, Business Events, projections, external services).
• Ensure non‑functional requirements, performance, availability, security, and resilience are built into solution designs.
• Architect and enable AI use cases, including embedded IFS AI offerings: Service planning and scheduling optimization, Demand forecasting and anomaly detection
• Design AI‑augmented business processes, promoting AI insights directly into operational workflows.
• Ensure people trust AI recommendations through human-in-the-loop decisioning. Define feedback loops to monitor outcomes and improve AI‑enabled capabilities.
• Architect end-to-end integration solutions between IFS Cloud and upstream CRM platforms, such as lead-to-order, service demand, and contract lifecycle.
• Design event‑triggered integration architectures using IFS Business Events as the primary mechanism for integrations.
• Ensure systems integrate through the common model rather than point‑to‑point mappings, improving scalability and maintainability.
• Promote loose coupling between IFS Cloud and external systems to support Evergreen upgrades and platform evolution.
• Support enterprise reporting, and advanced analytics by ensuring data accuracy and lineage. Collaborate with analytics and data platform teams to align IFS data structures with enterprise BI, AI, and machine learning initiatives.

AI Engineer – Architect, IFS Cloud

• Architect AI Agents that use Tools and Skills including instantiation of MCP clients and servers.
• Architect scalable end-to-end Retrieval-Augmented Generation (RAG) pipelines including data ingestion, document processing, and promoting generation.
• Increase model serving layers and high-throughput data processing pipelines, employing advanced libraries to ensure ultra-low latency and efficient resource use.
• Design and implement secure system architectures for all new AI products ensuring compliance with data governance and security policies.
• Understand how to use Terraform for provisioning and manage Azure infrastructure-as-code.
• Support automated and reproducible Continuous Integration/Continuous Deployment (CI/CD) pipelines.

AI Engineer jobs in Ohio

See all jobs on JobTailor

AI GRC Architect

ERP AI Engineer – Manager

AI Integration Developer, Senior Associate

Principal AI Engineer – AI Transformation

Licensed Mortgage Loan Originator

Product Engineer – AI

Lead AI Compliance Testing

Senior AI-Native Software Engineer

AI Engineer

Enterprise AI Architect

Principal AI Engineer – AI Transformation

Senior Associate – AI Engineering

Customer Co-Innovation Lead – AI & Autonomy

CTIO, AI Engineer

Senior Director, AI Architecture

Senior ERP AI Engineer

Senior Director, Gen AI Engineering

Lead AI Engineer

AI Engineer – Architect, IFS Cloud

Senior Agentic AI Architect