Role Description This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Please note: this role can be hired from any US location. As an AI Solution Engineer, your role will be to architect, build, and deliver AI solutions in the form of demos and proof-of-concepts for customers during the pre-sales stage of customer engagements. These solutions will include a combination of hardware, software and services that aim to deliver an AI outcome in pursuit of a sales opportunity. Given the broad range of options available for each level of the solution stack, you will be expected to have an understanding of the most popular options and capabilities to make the appropriate recommendations based on prospects' use cases and expected outcomes. You will be working closely with HPE Sales, Architects, and Partners to solution and implement proof-of-concepts that can not only be used as prototypes during pre-sales but also expandable to production deployments post-sales. In a typical day as an AI Solution Engineer, your responsibilities would include: - Lead technical discussions with prospects and partners to propose HPE and partner Integrated solutions that address business challenges and opportunities using AI. - Demo AI solutions (either existing or built by you) to prospects that address their use cases or desired AI outcomes. - Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects that demonstrate clear value from HPE's AI offerings, likely in combination with 3rd Party and Open Source components. - Assist in any product or technical issue towards an initial sale or renewal of a customer. - Help enable prospects, partners, and internal HPE teams on HPE's value in the AI landscape and how HPE and partner solutions can help solve real world business problems. Qualifications - Bachelor's, Master's or other Advanced degree in Engineering, Computer Science, or similar quantitative focus. - 4 years + experience working with Machine Learning or Deep Learning. - Experience working with Kubernetes. - Competency working with the latest LLM frameworks, both Open Source (e.g. LangChain, LllamaIndex) and proprietary (e.g. NVIDIA NeMo/NIM). - Competency writing ML code (for example, using PyTorch). - Experience with Python, Unix-like systems. - Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc. - Understanding of hardware requirements associated with deep learning model training or inference, and how model attributes and performance factors affect it. - Knowledge of current AI landscape, including popular models, frameworks, applications, and capabilities. - Experience working with on-premise hardware / GPU clusters. - Strong communicator, presenter and technologist evangelist. - Curiosity/interest in continuous learning to stay at the forefront of challenges which can be addressed through AI. Requirements - Artificial Intelligence Technologies - Cross Domain Knowledge - Data Engineering - Data Science - Design Thinking - Development Fundamentals - Full Stack Development - IT Performance - Machine Learning Operations - Scalability Testing - Security-First Mindset Benefits - Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. - Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. - Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Role Description As a Principal AI/ML engineer, this technical leader will be responsible for the design and implementation of the cloud-native AI/ML engineering platform (supporting both GenAI and traditional AI/ML technology and applications). This technologist will drive the technology development and architecture in these areas to ensure the platforms, systems, tools, models, and services generated from this team are technically sound with strong security, quality, reliability, usability, scalability, performance, efficiency, and operability to serve the fast growing needs of Wex and customers. This Principal AI/ML Engineer will have technical ownership of WEX’s AI Engineering implementation, including but not limited to architecture, technical direction, engineering best practice, and quality/compliance. This also includes proper and effective architectural integration with other platforms, products, and services across the company. This leader will work closely with team members of the Data Lakehouse Engineering teams. The vision behind Wex’s AI/ML engineering is to create a unified, scalable, and intelligent data and compute infrastructure that empowers our organization to unlock the full potential of our data. This role can also be in Chicago, Portland, Maine (Wex HQ), or Boston. The ideal candidate will be a hands-on leader with deep technical expertise in building and scaling data lake environments, coupled with strong people leadership and communication skills to drive alignment across the organization. Responsibilities - Lead and drive the development of technology and platform for the company's AI/ML engineering needs, ensuring functional richness, reliability, performance, and flexibility. - Help design the architecture and lead the implementation of the AI/ML infrastructure, platform, and services. - Challenge the status quo and hold a high bar to drive for better technical solutions. - Guide your team to leverage data and/or AI technology or tools for high productivity and better solution quality. - Partner with other senior engineers across the organization to understand business needs and develop technical solutions. - Collaborate with information security teams to ensure data security and privacy. - Work with solutions architecture and LOB product and engineering orgs on integrations of the AI/ML Platform. - Engage with external partners and vendors to evaluate technologies and services. - Create, prioritize, communicate, manage, and execute roadmaps, project plans, and commitments. - Report on the status of development, quality, operations, and system performance to management and partners. - Drive the technical vision and strategy of AI/ML infrastructure. - Provide technical guidance and effective training & mentorship to the engineering teams. - Set clear, measurable quality goals for your group in a data-driven way. - Partner with security and SRE orgs to ensure continuous improvement and meeting of security requirements. - Take strong financial responsibility for your team. - Advise Senior Leadership team on highly complex situations impacting the organization. - Provide strategic thought leadership on business initiatives. Qualifications - 15-20 years of software design and development experience at a large scale. - Strong software development skills in chosen programming language; readiness to learn Java and Python. - Experience in building machine learning supervised and unsupervised models; experience in Reinforcement Learning is a plus. - Experience in using LLM models is a plus. - Broad understanding of distributed computing frameworks like Ray and Spark. - Demonstrable experience in Kubernetes and Terraform. - Experience with Sagemaker is a plus. - Broad understanding of cloud architecture tools and services, such as S3, EMR, Kubernetes, Lambda functions; experience in AWS and Azure is highly desirable. - Deep technical expertise in architecture design, development, deployment, and production operation. - Rich experience and deep expertise in Big Data and large scale data platforms, especially in AI and ML. - Highly experienced in CI/CD automation. - Excellent analytical skills; capability in identifying and resolving complex problems. - Strong written and verbal communication skills. - Bachelor's degree in Computer Science or a related field; a higher degree is a plus. Leadership & Personal Characteristics - Demonstrates a collaborative, engaging, mission-driven style with good listening skills. - Champions a culture of high standards and embraces change. - Able to operate in a fast-paced entrepreneurial environment with a hands-on approach. - Communicates effectively in small and large group formats. - Possesses a high level of intellectual curiosity and learning agility. - Understands nuance and how to drive change through influence across a complex business. Benefits - Health, dental, and vision insurances. - Retirement savings plan. - Paid time off. - Health savings account. - Flexible spending accounts. - Life insurance. - Disability insurance. - Tuition reimbursement. - And more. Pay Range $250,300.00 - $289,000.00

Role Description We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. Qualifications - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. Requirements - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Benefits - Comprehensive benefits package including health, dental, and vision coverage. - Paid time off and paid parental leave. - 401(K) plan with employer matching. - Wellness benefits, among others. - Equity opportunities may also be part of your total rewards package. Company Description Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. - Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. - We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. - We have more than 5 million customers — and we’re just getting started. - Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. - Join our team and work with passionate, curious and egoless people who love solving real-world problems.

Role Description We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. Qualifications - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. Requirements - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Benefits - Comprehensive benefits package including health, dental, and vision coverage. - Paid time off and paid parental leave. - 401(K) plan with employer matching. - Wellness benefits, among others. - Equity opportunities may also be part of your total rewards package.