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Job DescriptionJob DescriptionDescription: About ACTIA ACTIA is a global leader in electronic and software solutions for commercial vehicles, transit, Bus & Coach, specialty vehicles, and off-highway markets. Our technologies enable intelligent vehicle architectures through multiplexing systems, electronic control units (ECUs), smart displays (SHMI), telematics, connectivity, and power management solutions. As the transportation industry transitions toward Software-Defined Vehicles (SDV), ACTIA is helping OEMs modernize vehicle architectures by integrating advanced software platforms, connected services, cloud technologies, and intelligent electronics into next-generation vehicles. Position Overview ACTIA is seeking a highly motivated Senior Application Engineer with a strong software and systems engineering background to support OEM customers in the design, integration, and deployment of complete vehicle electronic architectures. This role combines system architecture, software engineering, customer engagement, and vehicle integration. The successful candidate will work closely with OEMs to define and implement solutions built around ACTIA's portfolio of: Electronic Control Units (ECUs) Multiplexing Systems Smart Human Machine Interfaces (SHMI) Power Management Systems (MPSxx) Telematics and Connectivity Platforms Vehicle Networking and Diagnostics Solutions The ideal candidate understands both traditional distributed vehicle architectures and the industry's evolution toward Software-Defined Vehicles, centralized computing, connected services, and over-the-air software deployment. Experience within the Bus & Coach industry is highly preferred, while exposure to agriculture, construction, specialty, or heavy-duty vehicle applications is considered a strong asset. Key Responsibilities System Architecture & Solution Design Design complete electronic and software architectures using ACTIA hardware and software platforms. Define vehicle network architectures using CAN, J1939, CAN FD, Ethernet, and related communication technologies. Translate customer requirements into scalable and maintainable system architectures. Create architecture diagrams, interface definitions, functional specifications, and integration plans. Support vehicle-level integration activities including displays, body control systems, multiplexing, power management, diagnostics, and connectivity. Software-Defined Vehicle (SDV) Development Support customer migration from traditional distributed ECU designs toward Software-Defined Vehicle architectures. Define software-centric vehicle architectures supporting feature scalability and lifecycle management. Assist customers with OTA update strategies, remote diagnostics, fleet connectivity, and cloud integration. Support implementation of service-oriented architectures and connected vehicle ecosystems. Collaborate on strategies involving domain controllers, centralized computing, and zonal architectures. Software Development & Integration Develop and support software applications running on ACTIA platforms. Collaborate with software development teams throughout requirements, implementation, validation, and release activities. Support embedded Linux and application-level software development. Participate in software troubleshooting, debugging, and validation activities. Support test automation and software quality processes. Functional Safety & Compliance Support development activities compliant with ISO 26262 functional safety requirements. Contribute to safety analyses, system requirements allocation, verification planning, and validation activities. Collaborate with quality and engineering teams to ensure compliance with customer and regulatory requirements. Promote best practices for safety-critical development processes. CI/CD & DevOps Support modern software development workflows utilizing CI/CD methodologies. Contribute to build automation, testing automation, release management, and deployment strategies. Improve software quality through continuous integration and automated validation. Participate in code reviews and software quality initiatives. Support version control and release traceability processes. Customer-Facing Engineering Act as a primary technical interface between ACTIA and OEM customers. Lead technical workshops, architecture reviews, design discussions, and solution demonstrations. Support prototype development, vehicle commissioning, and launch activities. Provide technical guidance throughout project execution and customer development programs. Required QualificationsEducation Bachelor's Degree in: Computer Engineering Software Engineering Electrical Engineering Computer Science Automotive Engineering Related Engineering Discipline Experience 5+ years of experience in automotive, commercial vehicle, transportation, or embedded systems engineering. Proven experience designing complex electronic and software systems. Experience interfacing directly with customers and OEM engineering teams. Experience integrating hardware, embedded software, and vehicle networking technologies. Technical RequirementsVehicle Electronics & Networking CAN CAN FD SAE J1939 Ethernet Diagnostic protocols Vehicle multiplexing systems ECU integration Software Development C/C++ Python Scripting languages Linux environments Embedded software development Application software development Software Defined Vehicle (SDV) Understanding of Software-Defined Vehicle principles and architectures. Knowledge of centralized computing and domain controller architectures. Familiarity with OTA update strategies and software lifecycle management. Experience supporting connected vehicle and cloud-based software solutions. Understanding of software architecture principles for vehicle platforms. CI/CD & DevOps Experience with: Git Azure DevOps GitLab Jenkins Continuous Integration Continuous Deployment Automated testing frameworks Version control and release management Functional Safety & Quality Knowledge of: ISO 26262 Automotive SPICE (ASPICE) Requirements management Verification and validation processes Safety-critical software development Preferred Qualifications Experience in the Bus & Coach industry. Experience supporting transit agencies or commercial vehicle OEMs. Familiarity with ACTIA products and multiplexing architectures. Knowledge of vehicle electrical distribution systems and power management. Experience with telematics and connected fleet solutions. Familiarity with AUTOSAR Classic and/or Adaptive AUTOSAR. Knowledge of ISO 21434 automotive cybersecurity. Understanding of UNECE R155 and R156 requirements. Experience with cloud platforms, edge computing, and vehicle-to-cloud architectures. Experience with zonal architectures, domain controllers, and centralized vehicle computing. Exposure to electric vehicle (EV) or hybrid vehicle programs. Desired Characteristics Strong systems thinker with the ability to understand complete vehicle architectures. Customer-focused mindset and excellent communication skills. Ability to bridge software, hardware, networking, and vehicle integration disciplines. Strong analytical and problem-solving skills. Comfortable working in a fast-paced technical environment. Passion for emerging transportation technologies and Software-Defined Vehicles. What Success Looks Like Within your first year, you will: Lead architecture discussions with key OEM customers. Deliver complete vehicle solutions utilizing ACTIA ECUs, SHMIs, MPSxx power modules, and connectivity platforms. Support successful customer launches through integration, testing, and validation phases. Help establish modern CI/CD and software delivery practices for customer programs. Contribute to ISO 26262-compliant product development activities. Become a trusted technical advisor for vehicle architecture, software integration, and Software-Defined Vehicle initiatives. Why ACTIA? Join a company shaping the future of transportation through intelligent electronics, connected software platforms, and Software-Defined Vehicle technologies. You'll work directly with leading OEMs, influence next-generation vehicle architectures, and help transform how commercial vehicles are designed, connected, and maintained. Requirements: Minimum Qualifications and Education Bachelors or higher in EE, EET, ME, MET, CS or demonstrable equivalent Must have superior troubleshooting skills Experience in vehicle/vessel system architectures Experience with databus messaging structure & application; preferably CAN Experience with small signal analog electronic design Experience with Digital electronic design including microcontrollers . click apply for full job details

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Work Location Type: Hybrid Req Number 334699 About Grainger W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit . Compensation The anticipated base pay compensation range for this position is $112,900.00 - $188,100.00. This role is eligible for an incentive target of up to 10% or $, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 23 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details As a Senior Software Engineer (Software Engineer III) on the Data Sharing team in the Product Information Management organization, you will be involved in the full systems life cycle and responsible for designing, coding, configuring, testing, implementing and supporting application software and systems that are delivered on time and within budget. In addition to mentoring junior engineers, you will work closely with technical teams, stakeholders and product managers to understand the business requirements that drive the analysis and physical design of technical solutions. The Data Sharing team is responsible for building and operating APIs and event streams to make product data available to all of Grainger. You Will Develop end-to-end services (including APIs and stream processing) using Java and Spring Boot Build applications and develop product design solutions in partnership with engineers, architects, and analysts leading to scalable and maintainable software solutions Utilize specialized skills based on specific platform or domain as required Implement continuous delivery activities (CICD) and drive engineering best practices Support team activities and pair with peers to work on stories Coach and mentor junior engineers Consistently practice sensible defaults (TDD, pair programming, trunk-based development) Participate in on-call rotation You Have Bachelor's Degree or equivalent experience 3+ years experience with modern software engineering; designing, building, and deploying scalable software applications Understanding of distributed system design Experience analyzing and interpreting complex problems and processes Familiarity with Agile/Scrum methodologies and DevOps practices Experience with Java Experience with Spring Boot, Kafka, MongoDB, PostgreSQL, Terraform, and DataDog This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo generates an unprecedented scale and complexity of data from billions of miles driven in simulation, millions on public roads, and the growing commercial operations. At the heart of achieving our mission lies the ability to deeply understand this data. World-class data analysis infrastructure is the bedrock of Waymo's success. It is absolutely critical for: Validating the safety and performance of the Waymo Driver. Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning. Enabling data-driven decisions for our commercial operations and product strategy. Standardizing how we measure progress and compare performance across different contexts. The insights derived from our data platforms directly influence every aspect of our technology and business. We are looking for an exceptional technical leader to drive the vision and architecture of these vital systems. About the Role: We are seeking an exceptional a Leader to provide technical leadership and architectural vision for the core data platforms that power Waymo's insights and decision-making. This role is pivotal in shaping how Waymo leverages data to understand complex scenarios, measure progress, and ultimately deploy and operate our autonomous technology safely and effectively across the globe. You will be instrumental in tackling some of our most challenging data systems problems, from ensuring metrics consistency to building a scalable single source of truth for our ride-hail commercialization expansion. You will: Lead the architectural design and technical strategy for Waymo's core data platforms, encompassing a "Single Source of Truth" data lake for Commercialization and "Metrics Portability and Standardization" for Driver Evaluations. Establish and enforce comprehensive data governance frameworks across the data ecosystem, enabling easy data discoverability, and enhancing data quality. Identify and address inefficiencies in the data development lifecycle. Drive initiatives to improve developer productivity, streamline workflows, and enhance the overall effectiveness of the data engineering and metrics development functions in Waymo. Serve as a lead technical liaison, collaborating deeply with Simulation, Onboard, ML, and Commercialization teams to understand data needs, define data contracts, translate requirements into technical solutions, and ensure alignment on architectural direction. Mentor senior engineers, guide critical technical decisions, and champion best practices in data engineering, including system reliability, efficiency, developer experience, and innovation to address new challenges. You have: Proven track record of setting technical vision, driving multi-quarter roadmaps, and delivering impactful data projects as a technical lead for senior engineering teams, with demonstrated ability to influence across organizational boundaries. Excellent communication skills, with the ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership and partner engineering, data scientists, and product teams. Extensive experience architecting, building, and operating complex, large-scale distributed data systems (e.g., data lakes, lakehouse, data mesh, streaming platforms, query engines). Deep expertise in designing and implementing data governance principles, including metadata systems, data lineage, data quality frameworks, and data discoverability solutions at scale. Strong experience in designing and evolving data-centric APIs, schemas, and data contracts to ensure system interoperability, portability, and long-term maintainability. Expertise in data pipeline and query engine development and proficiencies in writing both SQL and one of C++/Java/Python code language. We prefer: Familiarity with data from autonomous vehicle operations, logistics, or ride-hailing business domains. Experience with Google's data infrastructure and tools such as F1 Query, Napa, Flume, Plx, or Google Cloud Platform (GCP) data services such as BigQuery, Cloud Dataflow, etc. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000-$356,000 USD

Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. About the Team The Data Platform and Observability team, located in Pleasanton, CA; Boston, MA; Boulder, CO, Atlanta, GA, and Dublin, Ireland, empowers real-time insights across Workday's platforms, infrastructure, and applications. Our mission is to develop and operate a large-scale distributed data platform that fuels critically important Workday applications. We provide software solutions for the collection, ingestion, storage, and visualization of critical data assets. We manage hundreds of terabytes of data, encompassing billions of messages generated daily by Workday applications and underlying services. If you're passionate about crafting efficient software or optimizing and scaling large distributed systems, you'll find a fulfilling home with us. About the Role Are you eager to use Workday's vast computing resources and extensive datasets? Do you want to collaborate with extraordinary engineers to build and evolve our Observability data platform? If so, we'd love to hear from you! Role & Responsibilities Design, build, and enhance critical Observability services, including Monitoring, Logging, Alerting, and Tracing. Develop data capture and collection services using pioneering technologies across diverse infrastructure environments (Kubernetes, OpenStack, Bare Metal, etc.). Design and develop core software modules for real-time and batch data processing. Construct Metrics ingestion pipelines, Alert definitions, and automation for Dashboard lifecycle management. Build and deploy infrastructure components in production environments. Champion all aspects of observability with a focus on data quality, integrity, and availability. Evaluate and implement new open-source and cloud-native tools and technologies as needed. Participate in the on-call rotation to support the observability platform. Manage and optimize Workday within the air-gapped U.S. AWS cloud regions, forming the core of the team responsible for this mission. Collaborate closely with our commercial software engineering teams responsible for the overall Workday platform. Partner with the Workday Federal Cyber Defense team to ensure security operations, cybersecurity posture, governance, risk, compliance, and platform security health. About You This role may require a security clearance at the TS/SCI w/CI Poly level. Applicants must have the ability to obtain and maintain a U.S. government issued security clearance. An active TS/SCI w/CI Poly is preferred. Employees may be required to be on site at client locations in the DC, MD, and VA (DMV) area. Basic Qualifications: BS/MS in Computer Science or a related technical field. Strong software engineering background with a consistent track record of delivering high-quality products at scale. Exceptional coding skills (Java, Python; Go is a plus) and the ability to design systems that meet business needs. Solid understanding of high-performance data capture and collection systems, API design, and reliable data delivery. Good understanding of Time-Series Databases and Log collection and management. Good knowledge and understanding of Kubernetes. 10+ years of experience building high-performance data ingestion software, addressing concurrency, latency, and efficiency challenges. Excellent interpersonal, technical, and communication skills. Ability to prioritize multiple tasks in a fast-paced environment. Fluency in Linux. Experience with Infrastructure Automation (Ansible, Chef, Terraform). Other Qualifications: Demonstrable experience with the Prometheus Ecosystem, Elastic Search, Grafana and InfluxData stack. Experience with PromQL and InfluxQL. Hands-on experience with Kubernetes and Helm. Preferred DoD 8570/8140 compliant with at least IAT Level Il certification, including a current Computing Environment (CE) credential and one approved specialty certification (e.g., CompTIA CySA+, GICSP, CASP+) Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here. Primary Location: USA.VA.RestonPrimary Location Base Pay Range: $163,800 USD - $245,800 USDAdditional US Location(s) Base Pay Range: $148,200 USD - $264,000 USD Our Approach to Flexible Work With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email , as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Come join one of America's fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures. Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard. We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good. Please note that we do not offer visa sponsorship for this position. This role requires a minimum of 10 years of Life and Annuity information technology experience. KEY RESPONSIBILITIES National Life Group is in the midst of significant growth and enterprise transformation, requiring technology to evolve to the next gen of maturity to enable greater scale, better customer experiences, and foster top-line growth. The role of the Chief Technology Officer is to lead the modernization of the company's core insurance platforms and technology ecosystem so the organization can grow efficiently, innovate faster, and compete effectively in a rapidly changing life insurance and annuity market. The CTO will play a lead role in transforming and managing core technology platforms while driving innovation through technology and thought leadership. The CTO will be responsible for assessing the talent to ensure they are fit for purpose and provide the skills, capabilities, behaviors, and processes required to deliver a modern, agile, and integrated environment. The CTO will lead transformations across cloud computing, contemporary software architectures, continuous delivery and DevOps, Advanced Analytics, Machine Learning, and Artificial Intelligence. Additionally, the CTO will be a key partner in promoting new ways of working, including advanced concepts in Agile, Lean Product Development, Lean Operations, and Design Thinking. Collectively, the CTO is expected to lead these transformations to facilitate National Life's transformation as it competes in the AI era. Through disciplined execution, strong partnerships, and clear executive communication, this leader will ensure that technology investments are aligned with business priorities, deliver meaningful returns on investment, and support sustained growth. Ultimately, the CTO will help position National Life's technology capabilities as a strategic advantage. Success in this role will often require careful coordination of activities with the larger (approx. 850 people) IT organization. Candidates must demonstrate the ability to organize complex work streams and collaborate effectively with colleagues and business leaders to influence transformation in a highly outsourced, multi-vendor environment, including onshore and offshore teams. Top candidates will have demonstrated success and feel comfortable working in this heavily outsourced, globally distributed environment. This is a senior and critical role within the technology leadership team and will report directly to the Chief Information Officer and will have consideration for the CIO role in succession planning. Other specific responsibilities include: Responsible for all aspects of establishing quality technology platforms and services. Influence business outcomes collaboratively to define the "art of the possible" for the future state of National Life Develop and instill a core innovation and incubation strategy that fosters emerging technology solutions that capture economic value across the National Life organization. Develop a fit-for-purpose operating model, based on the right sourcing decisions, location, talent and capability strategy as well as a high-performing team. Responsible for ensuring the operating model is optimized in terms of cost and quality of service, and that internal resources and supplier partner relationships meet the agreed model and service framework. Create a culture of continuous improvement that proactively manages the resolution of complex problems, identifies their underlying causes and improves processes accordingly. The courage to challenge the status quo, fail forward, learn, and influence change through self-awareness, clear communication, humility, and vulnerability YEAR ONE CRITICAL SUCCESS FACTORS The key objectives of the role are to: Operate in a fast-paced environment while building trust with IT and the business Partner closely with the CIO and be able to run workloads independently Clearly understand and adopt the National Life culture and ways of working Establish credibility through relationships with business leaders and the IT organization as a whole Continue to bring process and rigor to the architecture and development organization Infuse AI into IT practices consistently to make it a fabric of IT development operations Build relationships with key stakeholders across the business; work diligently to understand business needs and tie those needs back into the IT organization, creating transparency as well as a customer-centric IT environment. Bring process and rigor to the IT organization, with particular emphasis on shoring up the architecture and software development lifecycle methodology. Assess the IT leadership team and develop or fortify as needed. Being able to present and story tell the IT Vision, Technical direction, and various transformation "pitches" to a wide variety of audiences spanning from Board, executive team, business leaders, business operations and IT teammates Bringing thought leadership by being asked to participate in various thought leadership areas, strategies, meetings, committees as more than just an IT representative The ability to give feedback and receive feedback. Demonstrably changing and learning through received feedback with vulnerability PROFESSIONAL EXPERIENCE/QUALIFICATIONS 20+ years of information technology experience and 10+ years of IT leadership and business transformation work in the life and annuities business is required. Deep understanding of the business landscape of a Life & Annuity organization, including but not limited to New Business, Underwriting, Claims, InForce management, Product development, Actuarial analysis, and Investment management. Recognized achievement in delivering a successful major technology transformation program, and in the delivery of a modern heavily cloud-based environment. Proven track record in identifying opportunities and delivering innovative and pragmatic digital solutions that challenge the status quo. Willingness to roll-up his/her sleeves and go both deep and wide into technology issues. Ability to effectively present technical or complex information to senior management with simplicity. Significant experience working with technology vendors through strategic partnership and managing a diverse workforce of internals and externals. Examples include eApplication, Policy Administration, eDelivery, Automated Underwriting, Digital Experiences, Hierarchy based compensation, Licensing and Contracting, Broker/Dealer automation, Fraud and Risk Management, CRM and Workflow Strong financial management experience and demonstrable track-record in driving continual improvements in the cost base. Experience developing and deploying IT change programs with detailed business case development and delivery at the board or business unit level. Track record of successfully working on complicated initiatives encased in ambiguity and uncertainty. Strong communication skills and persuasion and influencing skills. Broad experience in architecture and application software delivery. Adept at defining IT vision and strategy and identifying initiatives that lead to target state architectures and outcomes. Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation. Strong and concise communication ability with persuasion and influencing skills in a matrixed organization Ability to coach, mentor, and develop a trusted learning organization that creates teams of future leaders Broad experience in application software delivery, infrastructure, security, data, and vendor management Adept at defining the IT technical direction and identification of initiatives that lead to target state architectures and outcomes. Then bringing people along towards the target state through leadership and influence Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation Ability to create a culture of engagement, empowerment, execution, and trust amongst teams through self-awareness, influence, humility, and vulnerability EDUCATION Bachelor's degree in computer science, information systems, engineering, or a related engineering of science field is required. MBA or master's degree is required. Other certifications are preferred but not required AI PROFICIENCY EXPECTATIONS At National Life Group, we view AI as an enabler of human potential. We use AI to help us work smarter, serve more clients, and keep our promises . click apply for full job details

Come join one of America's fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures. Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard. We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good. Please note that we do not offer visa sponsorship for this position. This role requires a minimum of 10 years of Life and Annuity information technology experience. KEY RESPONSIBILITIES National Life Group is in the midst of significant growth and enterprise transformation, requiring technology to evolve to the next gen of maturity to enable greater scale, better customer experiences, and foster top-line growth. The role of the Chief Technology Officer is to lead the modernization of the company's core insurance platforms and technology ecosystem so the organization can grow efficiently, innovate faster, and compete effectively in a rapidly changing life insurance and annuity market. The CTO will play a lead role in transforming and managing core technology platforms while driving innovation through technology and thought leadership. The CTO will be responsible for assessing the talent to ensure they are fit for purpose and provide the skills, capabilities, behaviors, and processes required to deliver a modern, agile, and integrated environment. The CTO will lead transformations across cloud computing, contemporary software architectures, continuous delivery and DevOps, Advanced Analytics, Machine Learning, and Artificial Intelligence. Additionally, the CTO will be a key partner in promoting new ways of working, including advanced concepts in Agile, Lean Product Development, Lean Operations, and Design Thinking. Collectively, the CTO is expected to lead these transformations to facilitate National Life's transformation as it competes in the AI era. Through disciplined execution, strong partnerships, and clear executive communication, this leader will ensure that technology investments are aligned with business priorities, deliver meaningful returns on investment, and support sustained growth. Ultimately, the CTO will help position National Life's technology capabilities as a strategic advantage. Success in this role will often require careful coordination of activities with the larger (approx. 850 people) IT organization. Candidates must demonstrate the ability to organize complex work streams and collaborate effectively with colleagues and business leaders to influence transformation in a highly outsourced, multi-vendor environment, including onshore and offshore teams. Top candidates will have demonstrated success and feel comfortable working in this heavily outsourced, globally distributed environment. This is a senior and critical role within the technology leadership team and will report directly to the Chief Information Officer and will have consideration for the CIO role in succession planning. Other specific responsibilities include: Responsible for all aspects of establishing quality technology platforms and services. Influence business outcomes collaboratively to define the "art of the possible" for the future state of National Life Develop and instill a core innovation and incubation strategy that fosters emerging technology solutions that capture economic value across the National Life organization. Develop a fit-for-purpose operating model, based on the right sourcing decisions, location, talent and capability strategy as well as a high-performing team. Responsible for ensuring the operating model is optimized in terms of cost and quality of service, and that internal resources and supplier partner relationships meet the agreed model and service framework. Create a culture of continuous improvement that proactively manages the resolution of complex problems, identifies their underlying causes and improves processes accordingly. The courage to challenge the status quo, fail forward, learn, and influence change through self-awareness, clear communication, humility, and vulnerability YEAR ONE CRITICAL SUCCESS FACTORS The key objectives of the role are to: Operate in a fast-paced environment while building trust with IT and the business Partner closely with the CIO and be able to run workloads independently Clearly understand and adopt the National Life culture and ways of working Establish credibility through relationships with business leaders and the IT organization as a whole Continue to bring process and rigor to the architecture and development organization Infuse AI into IT practices consistently to make it a fabric of IT development operations Build relationships with key stakeholders across the business; work diligently to understand business needs and tie those needs back into the IT organization, creating transparency as well as a customer-centric IT environment. Bring process and rigor to the IT organization, with particular emphasis on shoring up the architecture and software development lifecycle methodology. Assess the IT leadership team and develop or fortify as needed. Being able to present and story tell the IT Vision, Technical direction, and various transformation "pitches" to a wide variety of audiences spanning from Board, executive team, business leaders, business operations and IT teammates Bringing thought leadership by being asked to participate in various thought leadership areas, strategies, meetings, committees as more than just an IT representative The ability to give feedback and receive feedback. Demonstrably changing and learning through received feedback with vulnerability PROFESSIONAL EXPERIENCE/QUALIFICATIONS 20+ years of information technology experience and 10+ years of IT leadership and business transformation work in the life and annuities business is required. Deep understanding of the business landscape of a Life & Annuity organization, including but not limited to New Business, Underwriting, Claims, InForce management, Product development, Actuarial analysis, and Investment management. Recognized achievement in delivering a successful major technology transformation program, and in the delivery of a modern heavily cloud-based environment. Proven track record in identifying opportunities and delivering innovative and pragmatic digital solutions that challenge the status quo. Willingness to roll-up his/her sleeves and go both deep and wide into technology issues. Ability to effectively present technical or complex information to senior management with simplicity. Significant experience working with technology vendors through strategic partnership and managing a diverse workforce of internals and externals. Examples include eApplication, Policy Administration, eDelivery, Automated Underwriting, Digital Experiences, Hierarchy based compensation, Licensing and Contracting, Broker/Dealer automation, Fraud and Risk Management, CRM and Workflow Strong financial management experience and demonstrable track-record in driving continual improvements in the cost base. Experience developing and deploying IT change programs with detailed business case development and delivery at the board or business unit level. Track record of successfully working on complicated initiatives encased in ambiguity and uncertainty. Strong communication skills and persuasion and influencing skills. Broad experience in architecture and application software delivery. Adept at defining IT vision and strategy and identifying initiatives that lead to target state architectures and outcomes. Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation. Strong and concise communication ability with persuasion and influencing skills in a matrixed organization Ability to coach, mentor, and develop a trusted learning organization that creates teams of future leaders Broad experience in application software delivery, infrastructure, security, data, and vendor management Adept at defining the IT technical direction and identification of initiatives that lead to target state architectures and outcomes. Then bringing people along towards the target state through leadership and influence Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation Ability to create a culture of engagement, empowerment, execution, and trust amongst teams through self-awareness, influence, humility, and vulnerability EDUCATION Bachelor's degree in computer science, information systems, engineering, or a related engineering of science field is required. MBA or master's degree is required. Other certifications are preferred but not required AI PROFICIENCY EXPECTATIONS At National Life Group, we view AI as an enabler of human potential. We use AI to help us work smarter, serve more clients, and keep our promises . click apply for full job details

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role You will be the technical leader for Digital Identity at SoFi under the Sofi Technology Solution Group: the platform group that powers identity, authorization, and entitlements for every product and every member across the company. Digital Identity runs Tier-0 infrastructure: the highest criticality rating at SoFi. Every product line, banking, lending, investing, credit cards, crypto depends on these platforms to know who a member is, what they're entitled to, and what they're authorized to do. When these platforms are down, SoFi is down. You'll define the technical strategy for this group. You'll architect solutions for complex, ambiguous problems: multi-person access patterns, cross-organizational platform convergence, and data integrity at financial-services scale. You'll build the engineering processes and culture that let a lean team operate Tier-0 infrastructure with confidence. And you'll push the boundaries of how we build, leveraging AI to accelerate development, prototype faster, and experiment with approaches that would have been impractical two years ago. What You'll Own Platform Technical Strategy Digital Identity operates multiple Tier-0 platforms spanning identity resolution, entitlement management, and fine-grained authorization. You own the technical strategy across all of them: setting the architectural direction, executing and leading designs, and ensuring the platforms evolve as a coherent system rather than independent services. Complex Authorization Architecture SoFi is expanding into scenarios where multiple people interact with shared financial resources: across business, family, and custodial contexts. You'll design the unified platform architecture that handles these patterns at scale: consistent access models, compliance-grade audit trails, and enforcement of regulatory requirements. This is one platform problem with many product surfaces. Cross-Organization Platform Convergence SoFi operates and integrates with multiple technology organizations with overlapping identity and authorization infrastructure. You'll lead the architectural vision for convergence: a shared platform primitives that multiple organizations consume while preserving the flexibility each product line needs. This requires navigating competing priorities, different technical stacks, and organizational boundaries. Operational Excellence & Data Integrity Tier-0 financial platforms demand more than uptime. You'll architect the verification and reconciliation systems that prove these platforms are correct: automated integrity checks, drift detection, and self-healing mechanisms. You'll establish the operational processes, incident response standards, and reliability practices that let the team ship with confidence and sleep at night. Engineering Culture & Team Uplift You'll raise the bar for how this team builds software. That means establishing rigorous design review processes, defining engineering standards that compound over time, mentoring senior ICs into technical leaders, and creating the feedback loops that turn incidents into prevention. You're not just the best engineer on the team: you're the reason the whole team gets better. Strategic Investment Identification You won't just execute on the roadmap handed to you. You'll identify the next set of high-leverage technical investments: where the platforms should go, what capabilities are missing, which emerging patterns (in authorization, in AI, in infrastructure) should be adopted before the business asks for them. What We're Looking For Required: Distributed systems architecture at scale. You've designed and shipped platforms that other engineering teams depend on: not just consumed services, but built them. You understand the failure modes of event-driven systems, eventual consistency, and cross-service data integrity. You've made hard tradeoffs between consistency, availability, and latency in production. Technical leadership with accountability built in. You don't just design systems: you design systems that prove they're correct. Reconciliation mechanisms, audit trails, integrity guarantees, automated verification. You've built infrastructure where "trust but verify" is architecture, not process. AI fluency and innovation. You actively use AI to build, prototype, and experiment. You've integrated AI-assisted development into your workflow and can articulate where it accelerates engineering and where it introduces risk. You push teams to adopt AI-native approaches to development not as a novelty, but as a competitive advantage in velocity and experimentation. Group-level influence and execution. You've driven technical strategy across multiple teams. You've navigated ambiguity where business goals were clear but the right technical problems to solve were not. You've represented your organization's technical direction to peer groups and senior / executive leadership. Engineering culture builder. You've established processes, standards, and practices that made entire teams more effective and not just shipped features yourself. You care about design review rigor, operational readiness, on-call excellence, and mentoring senior engineers into technical leaders. Ownership of outcomes, not just systems. You measure your work by what it enabled such as products shipped, risks eliminated, teams unblocked and not by the complexity of what you built. Preferred: Experience building identity & authorization platforms especially in multi-tenant or consumer-facing contexts. Familiarity with relationship-based access control models, fine-grained authorization systems, or identity federation infrastructure. Experience in financial services or regulated industries where compliance, audit trails, and data integrity are architectural requirements, not afterthoughts. Track record of platform convergence: merging or unifying infrastructure across acquisitions, subsidiaries, or organizations with different technical stacks. What This Isn't: This is not a role for someone who wants to write code in a corner. You'll spend significant time on architecture, cross-team alignment, design reviews, and mentorship. You will write code and drive credibility with your depth but the highest-leverage output is the technical direction you set, the engineering culture you build, and the engineers you develop. Why This Role? Scope. Digital Identity is horizontal infrastructure. Every product at SoFi depends on your platforms. A design decision you make affects millions of members. Hard problems. Multi-person financial authorization, cross-org platform convergence, data integrity at Tier-0 scale. These aren't optimizations: they're greenfield architecture for a company-wide platform. Visibility. Tier-0 means executives know when you ship and when you don't. Impact is not abstract here. Build + Lead. Deep distributed systems work and Group-level technical leadership. You'll build both muscles, every week. You'll architect systems and build the team's engineering culture in equal measure. AI-forward engineering. We're not waiting for the industry to figure out how AI changes platform engineering. You'll help define that for Digital Identity, using AI to move faster, experiment more, and build systems that would have been impractical with traditional approaches alone. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities . click apply for full job details

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role You will be the technical leader for Digital Identity at SoFi under the Sofi Technology Solution Group: the platform group that powers identity, authorization, and entitlements for every product and every member across the company. Digital Identity runs Tier-0 infrastructure: the highest criticality rating at SoFi. Every product line, banking, lending, investing, credit cards, crypto depends on these platforms to know who a member is, what they're entitled to, and what they're authorized to do. When these platforms are down, SoFi is down. You'll define the technical strategy for this group. You'll architect solutions for complex, ambiguous problems: multi-person access patterns, cross-organizational platform convergence, and data integrity at financial-services scale. You'll build the engineering processes and culture that let a lean team operate Tier-0 infrastructure with confidence. And you'll push the boundaries of how we build, leveraging AI to accelerate development, prototype faster, and experiment with approaches that would have been impractical two years ago. What You'll Own Platform Technical Strategy Digital Identity operates multiple Tier-0 platforms spanning identity resolution, entitlement management, and fine-grained authorization. You own the technical strategy across all of them: setting the architectural direction, executing and leading designs, and ensuring the platforms evolve as a coherent system rather than independent services. Complex Authorization Architecture SoFi is expanding into scenarios where multiple people interact with shared financial resources: across business, family, and custodial contexts. You'll design the unified platform architecture that handles these patterns at scale: consistent access models, compliance-grade audit trails, and enforcement of regulatory requirements. This is one platform problem with many product surfaces. Cross-Organization Platform Convergence SoFi operates and integrates with multiple technology organizations with overlapping identity and authorization infrastructure. You'll lead the architectural vision for convergence: a shared platform primitives that multiple organizations consume while preserving the flexibility each product line needs. This requires navigating competing priorities, different technical stacks, and organizational boundaries. Operational Excellence & Data Integrity Tier-0 financial platforms demand more than uptime. You'll architect the verification and reconciliation systems that prove these platforms are correct: automated integrity checks, drift detection, and self-healing mechanisms. You'll establish the operational processes, incident response standards, and reliability practices that let the team ship with confidence and sleep at night. Engineering Culture & Team Uplift You'll raise the bar for how this team builds software. That means establishing rigorous design review processes, defining engineering standards that compound over time, mentoring senior ICs into technical leaders, and creating the feedback loops that turn incidents into prevention. You're not just the best engineer on the team: you're the reason the whole team gets better. Strategic Investment Identification You won't just execute on the roadmap handed to you. You'll identify the next set of high-leverage technical investments: where the platforms should go, what capabilities are missing, which emerging patterns (in authorization, in AI, in infrastructure) should be adopted before the business asks for them. What We're Looking For Required: Distributed systems architecture at scale. You've designed and shipped platforms that other engineering teams depend on: not just consumed services, but built them. You understand the failure modes of event-driven systems, eventual consistency, and cross-service data integrity. You've made hard tradeoffs between consistency, availability, and latency in production. Technical leadership with accountability built in. You don't just design systems: you design systems that prove they're correct. Reconciliation mechanisms, audit trails, integrity guarantees, automated verification. You've built infrastructure where "trust but verify" is architecture, not process. AI fluency and innovation. You actively use AI to build, prototype, and experiment. You've integrated AI-assisted development into your workflow and can articulate where it accelerates engineering and where it introduces risk. You push teams to adopt AI-native approaches to development not as a novelty, but as a competitive advantage in velocity and experimentation. Group-level influence and execution. You've driven technical strategy across multiple teams. You've navigated ambiguity where business goals were clear but the right technical problems to solve were not. You've represented your organization's technical direction to peer groups and senior / executive leadership. Engineering culture builder. You've established processes, standards, and practices that made entire teams more effective and not just shipped features yourself. You care about design review rigor, operational readiness, on-call excellence, and mentoring senior engineers into technical leaders. Ownership of outcomes, not just systems. You measure your work by what it enabled such as products shipped, risks eliminated, teams unblocked and not by the complexity of what you built. Preferred: Experience building identity & authorization platforms especially in multi-tenant or consumer-facing contexts. Familiarity with relationship-based access control models, fine-grained authorization systems, or identity federation infrastructure. Experience in financial services or regulated industries where compliance, audit trails, and data integrity are architectural requirements, not afterthoughts. Track record of platform convergence: merging or unifying infrastructure across acquisitions, subsidiaries, or organizations with different technical stacks. What This Isn't: This is not a role for someone who wants to write code in a corner. You'll spend significant time on architecture, cross-team alignment, design reviews, and mentorship. You will write code and drive credibility with your depth but the highest-leverage output is the technical direction you set, the engineering culture you build, and the engineers you develop. Why This Role? Scope. Digital Identity is horizontal infrastructure. Every product at SoFi depends on your platforms. A design decision you make affects millions of members. Hard problems. Multi-person financial authorization, cross-org platform convergence, data integrity at Tier-0 scale. These aren't optimizations: they're greenfield architecture for a company-wide platform. Visibility. Tier-0 means executives know when you ship and when you don't. Impact is not abstract here. Build + Lead. Deep distributed systems work and Group-level technical leadership. You'll build both muscles, every week. You'll architect systems and build the team's engineering culture in equal measure. AI-forward engineering. We're not waiting for the industry to figure out how AI changes platform engineering. You'll help define that for Digital Identity, using AI to move faster, experiment more, and build systems that would have been impractical with traditional approaches alone. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities . click apply for full job details

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak is recruiting a Staff Software Engineer to lead design and development of mission planning, routing, and human-assisted autonomy for Kodiak driverless trucks. The role provides scope and visibility to influence the roadmap for the entire motion planning stack, including behavior, prediction, and trajectory generation. This is an opportunity to collaborate with Product, Perception, Controls, and other cross-functional teams in order to improve overall autonomy performance. Customers interact with Kodiak trucks through mission assignments, making this a key engineering position to achieve product excellence. The role spans a range of motion planning responsibilities, from graph traversal and routing, to mission planning and product development, to human-assisted autonomy and operations. In this role, you will: Lead the design and development of mission planning, routing, and human-assisted autonomy for driverless operation on public roads Develop the architecture and long-term roadmap for motion planning Identify metrics to orient engineering teams toward product excellence Study the product for opportunities to delight our customers Mentor and provide technical leadership to junior and senior engineers, raising the bar for engineering excellence across the engineering organization Integrate onboard and offboard driving logic Collaborate with human-assisted autonomy and operations specialists to facilitate safe, efficient missions Evaluate the effectiveness of the Kodiak Driver Automate and expedite truck launches and landings Partner cross-functionally with Perception, Controls, Systems, Simulation, and Product teams to define interfaces, requirements, and system behavior Solve difficult real-world problems involving route generation, mission updates, responsive driving, real-time and cloud computing, and more! What you'll bring: 6+ years of experience developing production-level robotics software Strong facility with modern C++ Expertise in motion planning, graph theory, distributed computing, and related domains Delivery of complex autonomous systems Leadership to solve ambiguous, real-world challenges Bonus points if you have: Managed or mentored robotics engineers Deployed software on autonomous vehicles Built a safety case for driverless autonomy Improved system performance (latency, throughput, reliability) in production environments Built on simulation frameworks Based decisions on data analysis What we offer: Competitive compensation package including equity and annual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits) MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance Flexible PTO, 10 paid holidays, and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $200,000-$250,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates. We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed here ( ). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact with "Separate Review Request" in the email subject line.

Who We Are Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively - trusted by leading fintechs, enterprises, and disruptors across the globe. Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance. What We're Looking For Cross River Bank is seeking a Senior Full Stack Engineer who thrives at the intersection of intelligent systems and polished product experiences. You'll work across the entire stack from designing React interfaces that surface AI capabilities to engineers and end users, to building the Python and Node.js services that power our LLM-based Agentic platform. A key part of this role is hands-on experience with designing, building, and integrating MCP servers that connect our AI agents to internal tools, financial data systems, and third-party APIs. You'll collaborate closely with product, compliance, and cross-functional engineering teams to build financial technology that's fast, secure, and genuinely intelligent. Responsibilities: Design, build, and continuously improve our LLM-based Agentic platform. Own end-to-end architecture decisions from model orchestration and prompt design to retrieval pipelines, tool-calling patterns, and evaluation frameworks. Architect and build high-performance services in Python and/or Node.js. Design systems for extreme speed, reliability, and real-time data processing under high traffic conditions. Design and maintain MCP servers that give AI agents structured, secure access to internal banking systems, external APIs, databases, and developer tools making Agentic platform composable and extensible by design. Build intuitive React interfaces that expose AI capabilities like chat interfaces, agentic dashboards, real-time streaming UIs, and internal tooling. Own state management patterns and component architecture at scale. Partner with product managers, business stakeholders, compliance, and engineering teams to translate vision into scalable technical requirements and roadmaps. Design and ensure the platform meets enterprise-grade security and financial regulatory standards. Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and production of AI systems. Help define coding standards and contribute to a culture of engineering excellence. Evaluate emerging models, frameworks, and tooling. Prototype and integrate the most impactful advances into our platform and internal developer productivity tooling. Qualifications: Hands-on production experience with Large Language Models, prompt engineering, RAG workflows, agent frameworks, and LLM evaluation strategies. Experience building and consuming MCP servers. 5+ years of professional software development with a proven record on complex full-stack systems. Experience with modern JavaScript (ES6+), React, state management (Redux, Zustand, or similar) at scale. Hands-on experience architecting on AWS (DynamoDB, S3, RDS, Lambda, and API Gateway). Knowledge of Infrastructure as Code (Terraform) is a plus. Deep understanding of TDD, CI/CD pipelines, and Agile/Scrum leadership. Ability to debug problems across distributed systems and optimize bottlenecks in real-time data flows. Great communicator with the ability to influence technical direction and manage stakeholder expectations. Salary Range: $160,000.00 - $200,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .