• Lead Agentic AI Design & Prototyping workshops with member organizations • Guide participants through the end-to-end process: Identifying high-value use cases, Designing agent roles, workflows, and orchestration patterns • Rapidly build and iterate functional AI agent prototypes • Facilitate hands-on build sessions and hackathons • Collaborate with member teams to co-create and refine AI artifacts during live engagements • Contribute to the development of practical AI resources • Provide advisory support to members as they move from prototype to broader implementation • Partner with Research, Advisory, Sales, Marketing, and Delivery teams

Role Description As a member of Mutual of Omaha’s AI Operations team, you will partner with application development teams across the company to enable generative AI capabilities within enterprise applications. Our team sits at the intersection of AI Governance and GenAI Enablement, helping teams move quickly while ensuring AI solutions are secure, compliant, scalable, and aligned to enterprise guardrails. As an AI Enablement Engineer - AI Operations, your primary focus will be on building the technical foundations, reusable patterns, and engineering controls that allow application teams to safely adopt AWS Bedrock and related GenAI capabilities. This role is for someone who can speak the language of software developers, understands modern cloud-native application architecture, and has strong interest and hands-on experience with generative AI enablement using AWS. If you are a full stack engineer with strong cloud engineering skills, experience building enterprise application patterns, and enthusiasm for helping developers safely move GenAI into production, this could be the right opportunity for you. Qualifications - Hands-on experience as a software engineer or full stack engineer, with the ability to work credibly with application development teams. - Experience building and deploying cloud-native applications, APIs, and integrations in AWS. - Familiarity with AWS Bedrock and strong interest in generative AI application enablement. - Experience with infrastructure-as-code and automation using tools such as AWS CDK and CloudFormation. - Ability to translate technical, governance, and compliance requirements into practical implementation patterns and engineering controls. - Experience building reusable frameworks, templates, libraries, or platform capabilities that improve developer speed and consistency. - Comfort operating across a large, multi-account AWS environment — understanding how to design solutions that work at enterprise scale, not just in a single account. - Strong problem-solving and collaboration skills, with the ability to work across engineering, architecture, security, governance, and business teams. Requirements - Build and mature foundational patterns for enterprise use of AWS Bedrock within broader business applications. - Create and publish reference architectures, reusable integration patterns, and developer guidance for GenAI use cases. - Design and implement governance-as-code and compliance-as-code controls to support responsible AI adoption at scale. - Develop reusable guardrails, policy-aligned templates, and automation that help teams stay within approved enterprise standards. - Enable secure and scalable use of LLM agents, orchestration patterns, and supporting AWS services. - Partner with application developers to accelerate rapid proof-of-concept enablement and help teams move from experimentation to production-ready designs. - Translate governance, security, and architecture requirements into practical engineering controls that developers can adopt with minimal friction. - Track evolving AWS Bedrock capabilities and incorporate relevant enhancements into enterprise enablement patterns. - Design and implement cross-account AI usage data collection and aggregation infrastructure to support enterprise observability and executive reporting. - Automate evaluation and reporting for GenAI solutions, including quality, safety, and policy-alignment measures where appropriate. - Collaborate with Architecture, Security, Risk, Compliance, and platform teams to ensure GenAI solutions align to enterprise expectations without unnecessarily slowing innovation. Benefits - Estimated Salary: $130,000 - $155,000, plus annual bonus opportunity. - 401(k) plan with a 2% company contribution and 6% company match. - Work-life balance with vacation, personal time and paid holidays.

Description Principal AI Safety Engineer for Autonomous Vehicles: Technical Lead The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM's Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trustworthy automated-driving products. As the central authority for automated driving system (ADS) safety, SAFE-ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM's automated-driving technologies. GM's vision is zero crashes, zero emissions, and zero congestion-and autonomous vehicle safety is essential to achieving that vision. The Role The AV Safety Strategy and Assessment team is seeking an AI Safety Technical Leader with deep experience across the full end-to-end development lifecycle of automated driving system (ADS) technology driven by artificial intelligence and machine learning models. As the AI Safety Principal Engineer, you will stay current on industry best practices and standards while guiding the development of GM's AI safety strategy for autonomous vehicles (AV). This role requires significant experience driving the technology development and validation of AI models for safety-critical applications. The ideal candidate will bring strong AI domain expertise across safety engineering, data lifecycle management, model development, verification and validation, frameworks and tools, and operational assurance. If you're passionate about autonomous vehicle technology, committed to advancing safety through innovation, and are a proven technical leader, this role offers an exciting opportunity to make a meaningful impact on the future of transportation safety in a dynamic and fun environment. As the AI Safety Principal Engineer for AV, you will work closely with cross-functional partners and customers to define safety strategies and sufficiency criteria for AI/ML-based ADS features. You will engage deeply with stakeholders to understand their challenges and needs, collaborate on new AI/ML solutions, and evaluate the safety of models and cloud environments to support safety-critical applications. In this role, you will also provide safety guidance to a team of AI/ML developers and system engineers. Leveraging your experience with industry standards such as ISO/PAS 8800, you will champion GM's AI safety case framework and help ensure the safe deployment of AI-enabled ADS technologies. What You'll Do (Responsibilities) - Lead the development of AI safety strategies for ADS and establish safety engineering guidance and sufficiency criteria. - Actively engage with partners and seek input, provide technical expertise to inform leadership decision-making, and take ownership of technical projects - Define GM's strategy for AI safety standards, engage externally to influence evolving standards, and contribute to internal and external thought leadership that strengthens GM's position in the autonomous vehicle ecosystem. - Support regulatory rulemaking and policy responses related to AI safety-critical systems. - Establish an assurance plan and process to evaluate AI-related safety case evidence and verify that sufficiency criteria are met. - Provide AI expertise and safety guidance across Global Product Safety, Systems, and Certification activities. - Identify and drive opportunities to improve the efficiency and quality of safety work through the application of AI methodologies. - Mentor and develop team members, fostering a culture of technical excellence and continuous learning. Your Skills & Abilities (Required Qualifications) - Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience - 10+ years of experience in AI/ML, engineering or a related field - 5+ years in autonomous vehicles, robotics or related field - Experience in the following: - Machine Learning & AI: Extensive experience in building large-scale models with significant focus on E2E validation. Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering - AI Standards and Evolving Regulations: Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024-2027), other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics. - Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL - Cloud & Big Data Platforms: ( Preferred Microsoft Azure - Data Lake, Machine Learning, Databricks), Nice to Have (AWS - S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) - Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira - Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy - Proven track record providing technical safety and validation leadership in AI/ML development and deployment - Excellent communication and collaboration skills, with the ability to work effectively in a team environment - Strong problem-solving mindset and a proactive attitude towards learning and self-improvement What Will Give You A Competitive Edge (Preferred qualifications) - Master's or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience - Relevant publication - Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value - Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. • The salary range for this role is $250,600 and $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-KE2 This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Staff ML Engineer on the Prometheus team within the Embodied AI organization, you will be a senior engineer responsible for developing and deploying offboard machine learning solutions that deliver ground-truth-quality world estimates for multiple partner teams, including onboard model teams, simulation, and evaluation. The models you build will influence every stage of autonomous vehicle development-from training and validation to testing and safety. You will work closely with cross-functional engineering teams, help shape technical direction in your domain, and support other engineers' growth through collaboration and mentorship. You will also help transition research into scalable onboard ML capabilities while continuously improving the autonomy stack. What You'll Do - Design and implement ML solutions aligned with GMʼs autonomous driving objectives. - Apply techniques such as unsupervised pre-training, supervised learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification. - Deliver model improvements by systematic use of GMʼs large scale datasets, utilizing the highest value data for solving the hardest problems, while demonstrating model scaling through data. - Collaborate with cross-functional teams to deploy and serve models and algorithms at large scale. - Contribute to applied research efforts and remain current with advancements in ML frameworks and methods. - Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations. - Drive technical execution from prototyping through production deployment, documenting learnings and best practices. - Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence. Your Skills & Abilities - Master's or PhD in Computer Science, Robotics, Machine Learning, or related field. - Experience working with large-scale foundation models and alignment methods applied to real-world systems. - Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines. - Proficiency in PyTorch and Python. - Experience building and scaling model training pipelines enabling efficient iteration across teams. - Strong communication skills enabling effective collaboration across engineering teams. - Experience deploying ML models into production environments and understanding end-to-end deployment workflows. - Experience in robotics or autonomous driving systems preferred. Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum. Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is $189,300.00 to $320,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Relocation: This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-CX1 #GM-AV-1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.