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Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! At Credit Acceptance, cloud computing continues to allow us to modernize and consolidate IT infrastructure, automate workloads, and pursue next-generation innovation. To continue this transformation, we're seeking an experienced Senior Staff Cloud Engineer with expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate is experienced in cloud-based tech, with a firm grasp of emerging technologies, platforms, and applications, and ability to customize them to help our business become more secure and efficient. Extensive knowledge of cloud maintenance and advanced industry knowledge is key to keeping us on the cutting edge. From day one, you'll have an immediate impact on the day-to-day efficiency of our IT infrastructure and an ongoing impact on our overall growth. The Senior Staff Cloud Engineer owns the cloud and is responsible for architecture, administration, maintenance and availability of all cloud infrastructure and supporting tools. Additionally, Senior Staff Cloud Engineer demonstrates and encourages a culture of automation, orchestration and efficiency. The position is key to driving cloud strategy that is consistent with the department and business goals. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Provide thought leadership and build cloud solutions that deliver high impact business value and deliver customer delight Lead the design and implementation of cloud solutions that are scalable, reliable, and maintainable Collaborate with a diverse cross functional team including business partners, Product Managers and designers to define product requirements, direction and clarity Drive technical innovation and improvements of the design and architecture of cloud systems towards leading edge technologies and practices at the organization level Define, develop and drive cloud engineering best practices Become an expert in the business process domain to better support the business and align technologies with the business outcomes Develops cross-disciplinary knowledge and an understanding of the market context to drive organization-level solutions Work with the engineering leadership team to develop and execute on the company's technical and business strategy Conduct impact analysis to proactively identify impact of a change across multiple applications/systems Perform technical due diligence and architectural assessments of third-party technologies and solutions. Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Document standards, best practices, and engineering artifacts so others can easily understand, build and maintain best in class Cloud systems Debug the critical problems which arise in production and execute effective solutions Anticipate customer needs and industry shifts to improve design and overall engineering practices Participate in talent selection and mentoring team members Develop standard architectural practices and lead solutions development across partner engineering groups Define and document best practices and strategies regarding cloud deployments and maintenance Ensure application performance, uptime, and scale, maintaining high standards of quality and thoughtful design Conduct routine environment audits of cloud accounts for compliance with established standards, policies, configuration guidelines and procedures Maintain a comprehensive cloud library of all supporting documentation Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Minimum of 10 years of experience designing scalable Cloud/Hybrid environments with a strong background in AWS and Azure Experience developing and managing Infrastructure as Code, leveraging tools such as Terraform, Ansible, GitHub, etc. Experience in the lead role overseeing technical direction for multiple Cloud/Platform/Development/DevOps/SRE teams Extensive experience with building and driving adoption of Cloud engineering best practices Experience driving impact on mission-critical enterprise class applications having organization-wide impact Hands-on experience with LLM integration patterns and at least one LLM gateway or proxy product (LiteLLM, Portkey, AWS Bedrock Gateway, or equivalent), including model routing, rate limiting, and token usage attribution in a multi-tenant cloud environment Preferred: Experience in a hybrid Cloud/Data Center environment supporting various multi-tier and microservice applications Experience with SaaS, PaaS, and IaaS deployments in the Cloud Experience developing and maintaining performance metrics and graphs Experience with other clouds like Oracle and Google Experience with backup and data protection technologies Experience with patching tools Experience with virtualization environments Experience with observability and alerting tools like PagerDuty Ability to use Excel or similar tool(s) to provide value from various data sources Experience working with monitoring/trending software such as CloudWatch, ELK, Splunk, etc Expert knowledge of DevOps processes Experience with agentic orchestration frameworks such as LangGraph or LangChain, and familiarity with the Model Context Protocol (MCP) for building or securing agent tool interfaces Experience with policy-as-code frameworks (OPA, Cedar, or equivalent) in production cloud environments, particularly for access control and automated compliance enforcement Knowledge and Skills: Expert knowledge of cloud best practices with experience building complex software engineering products Strong understanding of distributed systems, cloud computing, and microservices architectures Demonstrated ability to coach business partners, cross functional team members, and mentor senior-level members Proven track record driving continuous improvements with cloud technology Proven ability to drive automation and build self service capabilities for Software Engineers Development of automation scripts in various automation, orchestration, scripting, or programming languages Ability to right-size cloud infrastructure with cost, and performance in mind Target Compensation: A competitive base salary range from $161,000 - $237,000. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge . click apply for full job details

Position: Sr. Engineer Location: Fort Worth, Texas Duration: Contract Job Overview: As a Sr. Engineer, you will play a critical role in building and maintaining core platform components that power agentic AI systems. This position involves developing APIs, microservices, and orchestration services, as well as integrating AI/ML models into production systems. The ideal candidate will have a strong background in software engineering, cloud platforms, and AI/ML application development. This is a hybrid role requiring onsite work three days a week and virtual work for two days. Responsibilities: Develop and maintain agent orchestration services, tool registries, and execution runtimes. Build APIs and microservices for LLM integration, prompt management, and agent lifecycle management. Implement observability, logging, and monitoring for agentic workflows. Write comprehensive tests (unit, integration, end-to-end) to ensure platform reliability. Collaborate with architects on design decisions and ML engineers on model integration. Participate in on-call rotations for production support of the AI platform. Contribute to CI/CD pipelines, infrastructure-as-code, and deployment automation. Qualifications: 5+ years of software engineering experience with strong proficiency in Python and working knowledge of at least one of Java, Go, or TypeScript. Hands-on experience building production REST/gRPC APIs and microservices. Solid experience with cloud platforms (AWS or Azure preferred), containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code (Terraform, CloudFormation, or Pulumi). Working experience with LLM integration patterns, prompt engineering, or AI/ML application development. Familiarity with frameworks like LangChain, LangGraph, or similar orchestration tools. Nice to Have Skills: Experience with event-driven architectures (Kafka, EventBridge). Knowledge of vector databases and observability tools (Datadog, Splunk, OpenTelemetry). Familiarity with agent evaluation frameworks, FastAPI/Flask, async Python, and Redis/caching patterns. Experience in the airline or travel industry. What Makes a Great Candidate? A great candidate is a solid mid-level to senior engineer who writes clean, testable code and has a genuine curiosity about AI/ML systems. While deep ML expertise is not required, the candidate should understand how LLMs work, recognize agentic patterns, and build reliable services around non-deterministic components. They take ownership, write good tests, communicate clearly in code reviews, and are comfortable operating production systems. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $60 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

Job Title: Senior AI Engineer / Microsoft Copilot Engineer Location: Charlotte, NC Duration: Contract - 12 months Pay Range: $65.05/hr (W2) Job ID: 407708 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Engineer, Copilot and Agentic Development to join our dynamic team. The ideal candidate will have strong experience in Microsoft Copilot, Copilot Studio, prompt engineering, and agent creation and a proven ability to deliver modern, Agile solutions while mentoring engineers and advancing engineering practices. Responsibilities: Define and prioritize product requirements to enable developers to use Copilot and prompt engineering effectively. Use Copilot hands-on for instructions, prompts, skills, and agent development. Design and implement agentic solutions and patterns. Partner with Data Engineers, Data Scientists, UI/UX Designers, App Developers, product owners, and clients to deliver solutions. Coordinate project management and stakeholder engagement across Technology, Sales, Client Education, Finance, and Legal. Collaborate closely with Product and Engineering teams to align on strategy, standards, and delivery practices. Required Skills & Qualifications: Proficiency in Microsoft Copilot and Copilot Studio, including creating skills and agents. Strong prompt engineering and applied AI problem-solving skills. Excellent collaboration and communication abilities across cross-functional teams. 3+ years of industry experience, including 3+ years working with AI tools such as Copilot. Bachelor's degree or equivalent. Subject matter expertise in Mobile Applications, mobile frameworks, product technical aspects, and underlying data. Hands-on experience designing and building applications using Copilot. Preferred Skills: Experience applying Agile and modern engineering practices to AI-enabled software delivery. Background integrating Copilot-driven agents with mobile applications and data platforms. Role Logistics and Schedule: Hybrid schedule with a minimum of 3 days per week onsite in Charlotte, NC. Target start month: September. Interview process: 1-2 video rounds with Glider ID verification. Approved location. Maximum of 3 submissions per vendor. Resume bucket for 3 roles. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. Candidate Guidance for Resume Submission: Please list your current location, relocation plan, availability or start date, and any cooling-off requirements. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Looking for Sr. Automation & Cybersecurity Engineer Location: Plano, Texas JD: The Senior Automation & Cybersecurity Engineer is a hands-on technical leader responsible for designing, building, and scaling automation that powers the Security Operations Center (SOC). This role owns automated detection, enrichment, triage, response, and AI-assisted workflows that reduce analyst toil, improve signal quality, and strengthen incident response. The ideal candidate combines strong engineering fundamentals-scripting, API integration, SIEM/SOAR development, and cloud automation-with practical cybersecurity judgment. They will partner with detection engineers, incident responders, analysts, and platform owners to convert repeatable processes into reliable, governed automation and safely pilot emerging AI and agentic capabilities. Essential Functions: Design, build, and maintain automation for alert enrichment, correlation, triage, incident response, and case handoffs across SIEM/SOAR platforms such as Microsoft Sentinel, Defender/XDR, Azure Logic Apps, Tines, ServiceNow, Log Analytics, and Confluence. Develop integrations and tooling using Python, PowerShell, APIs, and cloud-native services, with production-quality error handling, monitoring, documentation, and reuse. Collaborate with detection engineers, incident responders, and SOC analysts to identify automation opportunities, improve detection workflows, reduce false positives, and streamline analyst operations. Design AI-assisted and agentic workflows for enrichment, investigation, summarization, and decision support, ensuring human-in-the-loop approvals, auditability, and measurable quality controls. Partner with security, infrastructure, platform, compliance, and risk teams; participate in code/design reviews; mentor others; and help establish reusable automation standards and patterns.

Position Title: Manager - Advanced Analytics Description: Summary Statement: Lead the information technology aspects of advanced analytics projects and the machine learning (ML) environment. This critical role is responsible for delivering and supporting multiple AI/ML and data science projects across the enterprise. You will assess and select technologies and tools to support advanced analytics projects, and be a member of the Data & Emerging Digital Technologies team driving execution of data and digital initiatives. Collaborate closely with business and IT stakeholders across the organization, understand industry best practices, and drive the architecture and implementation of AI/ML projects. Key Responsibilities: • Evangelize artificial intelligence and machine learning across the organization to solve business problems and optimize processes. • Operationalize and support various Machine Learning models, ensuring accuracy and managing the cost of AI/ML operations. • Manage a team of machine learning engineers. • Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data Engineering, Data Platform Teams, Product Managers, Cloud Engineering). • Responsible for talent management (recruiting, onboarding, career development) in the AI/ML Ops area. Responsibilities: • Collaborate with stakeholder groups and partners at mid to Sr. Management level to build and execute AI/ML roadmaps. • Manage and lead enterprise-wide projects and initiatives concurrently, assigned from client group leadership and other IT departments. • Lead and manage a team of machine learning engineers and AI/ML Ops administrators to support various AI/ML projects (Predictive Analytics, Prescriptive Analytics, Computer Vision, Gen AI). • Stay updated on best practices in AI/ML, AI/ML Ops, and Model API Management to leverage them within the organization, execute on MLOps Roadmap maturity. • Ensure applications and environments are available and supported as per agreed SLAs. • Enforce best practices and compliance with AI Governance principles. • Follow IT practices in security, licensing, source code management, incident management, and architectural standards. • Delegate and assign tasks to onshore and offshore technical resources. Regularly review project requirements, deliverables, and quality with partner leadership and onsite team members. • Ensure associates lead project scope development and options analysis to recommend technical solutions meeting customer needs. • Follow the Penske Development Process (PDP) and ensure timely capture of all information for relevant metrics generation, including attending tollgates, change control, and deployment discussions. • Work with Program/Project managers to ensure project completion and implementation on time, adhering to department quality standards while ensuring effective cost management. • Identify skill gaps within teams and develop plans to bridge them. • Foster collaboration among associates and within work groups. • Use dashboards and metrics to prioritize work and ensure project milestones are met. Qualifications: • Bachelor's degree in Computer Science, Information Systems, or equivalent experience. • 3+ years of leadership experience leading machine learning engineers. • 3 - 5 years of large enterprise-wide program/project management experience. • 2+ years' experience with cloud platforms, preferably AWS. • Strong experience with Agile/MLOps approaches or methodologies. • Strong Technical Project Management experience. • Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques, API Management, Micro-services, and Cloud (preferably AWS), and experience operationalizing predictive or prescriptive models. • Working knowledge of one or more Machine Learning Platforms. • Expertise in leading the architecture, design, and implementation of AI/ML-based technical solutions. • Strong experience presenting to mid & Senior Management. Ability to explain complex AI/ML topics in simple terms to various stakeholders. • Experience working with business leadership to establish a project/program application development roadmap. • Experience working with various IT teams to build and implement a scalable architecture for relevant software solutions. • Demonstrated ability to break technical solutions into logical units and show information or data flow. • Full fluency and expert-level knowledge in systems/languages applicable to the role. • Full understanding of system development lifecycle, methodologies, and standards. • Working knowledge of Generative AI and Agentic solutions preferred. • Green Belt, Black Belt, Lean, or PMP certification preferred. Physical Requirements • The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must regularly lift and /or move up to 25lbs/12kg. • Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. • While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Penske is an Equal Opportunity Employer. About Penske Truck Leasing/Transportation Solutions Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Information Technology Job Function: Business Intelligence Job Family: Analytics & Intelligence Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: Requirements PI

Genesis10 is currently seeking a Junior Level: AI Agentic Senior Technical Engineer for a hybrid 9-12 month contract opportunity with a Regional Financial Institution located in Columbus, OH. This role will work on a hybrid schedule, 4 days per week on site. Candidates can work in multiple locations: Columbus, OH; Dallas, TX; Minneapolis, MN or Charlotte, NC. Compensation: $58.00 - $68.00 per hour, W2, depending on skill and experience level Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience developing AI-powered applications. Initially, the role focuses on building AI solutions for the Commercial Services Loan Operations team, with the expectation that these capabilities will eventually scale across the enterprise. This is a hands-on software development role that involves collaborating with other engineering teams. Unlike the senior role, this position does not include stakeholder management or technical leadership responsibilities. The selected candidate will assume ownership of the current project during the handoff phase and continue development efforts. Primary Requirements: 2+ years of software development experience 1-2 years of API development experience 1-2 years of Java development experience GCP and/or Google Cloud certification Professional software development experience required (recent graduates without industry experience will not be considered) AI development experience is a plus but not required Desired Skills: Azure experience AWS experience Experience with Pub/Sub and event-driven architectures Strong communication and collaboration skills Banking or financial services experience (preferred, but not required) Leadership experience in this domain is a plus, but not required Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website . Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more. Powered by JazzHR ZnRHQBiPpf

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles. This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution-someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system. Responsibilities: Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification. Lead the development of agentic orchestration by designing and implementing mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks. Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth). Strong domain expertise in the AI area, including LLM, RAG, fine-tune large models, traditional ML models, etc. (AI depth) Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art) Perform data analysis and offer insights to inform business decisions across multiple domains. Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information. Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations. Take charge of projects, ensuring timely completion in a dynamic work environment. Qualifications: Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required. 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments. Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions. Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases. Proven experience building multi-agent systems and frameworks with adaptive orchestration Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms. Solid experience in data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong knowledge of software development best practices, version control systems, and agile methodologies. Results-driven with a positive can-do attitude and excellent problem-solving skills. Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in the automotive industry is highly desirable. Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable. Benefits Offered: Competitive compensation and equity program Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance Employee Engagement Offerings: Departmental team building and outings Employee Referral Program Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,500-$300,000 USD

Job Description Job Description Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies. Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens-Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured. With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. Sr. Staff Site Reliability Engineer As a Sr. Staff SRE at Obsidian , you will define and drive the company-wide reliability vision for a complex, multi-tenant SaaS platform serving enterprise and financial customers. You will operate as a strategic partner to DevOps and Platform Engineering leadership, shaping a unified reliability strategy that scales across the organization. Your core mandate: ensure Obsidian detects, diagnoses, and communicates system issues before customers are impacted-consistently and predictably. This is a hands-on technical role that involves architecting and leading the implementation of systems that handle real-world complexity, including upstream SaaS dependencies, sparse and noisy signals, and mission-critical enterprise workloads. Key Responsibilities Reliability Strategy & Architecture - Define and lead long-term reliability strategy across services. Establish end-to-end system visibility frameworks and guide architecture for observability, detection, and resilience. Cross-Org Leadership - Partner across teams to embed reliability, standardize SLI/SLOs, and serve as a technical escalation expert. Detection & Observability - Build intelligent detection systems (anomaly detection, connector health models) and enable self-service observability. Incident Management - Define and evolve a tiered incident communication strategy , improve response practices, and lead postmortems to strengthen reliability and customer trust. Execution - Contribute hands-on to system design, monitoring, and debugging across distributed systems and data pipelines. Required Qualifications 5+ years in SRE, Production Engineering, or related roles 3+ years operating at a senior or technical leadership level (Staff or equivalent scope) Deep expertise in: AWS and/or GCP Kubernetes and Helm Observability stacks (Prometheus, Grafana, or equivalent) CI/CD systems (GitLab CI/CD, ArgoCD, etc.) Proven experience designing and scaling reliability systems for multi-tenant SaaS platforms Strong debugging and systems thinking across distributed microservices and legacy systems Demonstrated ability to lead initiatives that improve incident detection, response, and system resilience Hands-on engineering approach with a track record of building-not just configuring-reliability systems Preferred Qualifications Experience in B2B SaaS serving enterprise or financial customers Familiarity with third-party SaaS connector architectures and ingestion patterns Experience building anomaly detection or intelligent alerting systems Experience designing customer-facing status pages and incident communication frameworks Why This Role Drive org-wide reliability strategy Own and build new detection & observability systems Tackle complex distributed systems challenges Safeguard critical infrastructure for financial customers What Success Looks Like Issues caught and resolved before customer impact Reliability is measurable and continuously improving Teams self-serve observability with scalable tools Clear, proactive incident communication builds trust Reliability becomes a competitive advantage Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range $232,000-$263,000 USD