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Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details

Job Description Job Description The Elevator Pitch Are you ready to own the network and cybersecurity backbone of a company that's redefining security technology? Do you thrive at the intersection of network engineering, cybersecurity operations, and compliance-where your work directly reduces risk and keeps the business resilient against an ever-changing threat landscape? Evolv is seeking a Network & Cybersecurity Engineer to design, implement, and defend our network infrastructure and security tooling. You'll be the technical owner of Evolv's network and security posture-from firewalls and access control to identity governance and threat detection-reporting to the Senior Director of Cybersecurity & Technology. This is a pivotal role in maturing Evolv's security program to meet the evolving demands of the business and our growing compliance obligations. You'll partner closely with the Systems Engineer and the rest of the IT team, and serve as the subject matter expert on networking, enterprise cybersecurity, and compliance tooling. If you're energized by staying ahead of emerging threats and building durable, well-governed security controls, this role is for you. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: Get to know the IT and security team and the tools/platforms currently in use Start building relationships with key stakeholders across the company, especially R&D and Legal/Compliance Learn Evolv's compliance commitments and ongoing authorization efforts, and how best to support them Gain familiarity with the current network/security toolstack: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, VPN/ZTNA, identity platforms (Okta, Entra ID), SIEM/EDR/DLP tooling, and the MDR relationship Within 3 months, you will: Begin implementing or improving network and security controls that measurably reduce risk Build trust-based relationships with peers in IT and stakeholders across business units Become the established subject matter expert on network security and compliance tooling at Evolv Take ownership of the MDR relationship and escalated detection response By the end of the first year, you will: Be recognized as the trusted subject matter expert across network infrastructure, and security operations Have driven measurable improvements to Evolv's security posture and compliance readiness Successfully supported compliance requirements and audit readiness, partnering closely with Legal/Compliance and R&D Documented network and security architecture, processes, and runbooks that reduce single points of failure Be seen as the go-to resource for network security questions, escalations, and best-practice guidance The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Infrastructure, Security & Compliance: Design, implement, and maintain network infrastructure: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, and VPN/ZTNA solutions Administer identity and access: Okta/Entra ID, Conditional Access policies, MFA enforcement, identity lifecycle management, and IGA Own security tooling and controls: SIEM, EDR, DLP, and vulnerability management, aligned to CIS Controls, NIST CSF, and other relevant compliance frameworks Manage the MDR relationship and respond to escalated detections Drive the IT process and policy redesign required to meet current compliance requirements, and to support additional frameworks as those efforts come online, in partnership with Legal/Compliance Harden AWS/Azure environments from a security perspective: IAM least-privilege, VPC/network security, Azure Policy Provide front-line escalation support and mentoring to IT teammates; maintain runbooks and documentation Assess technology and network risk across the company and recommend remediations Leadership, Team Structure & Culture You will join the IT organization as a direct report to the Senior Director of Cybersecurity & Technology, working alongside a Systems Engineer peer who owns day-to-day systems and endpoint operations. This is a hands-on, collaborative team that takes security and operational excellence seriously. This is a senior individual contributor role focused on deep technical impact-your job is to own and mature Evolv's network security and cybersecurity posture through the systems, controls, and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate's skills, experience, education, and geographic location. In accordance with state and local pay transparency laws-including those in California, Colorado, Massachusetts, New York, New Jersey, and others-we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: •The specific salary range for your preferred location •A general overview of our benefits and equity offerings •Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: Do the right thing, always; Put people first' Own it; Win together; and continue to Be bold, stay curious. Our Benefits Include : Equity as part of your total compensation package Medical, dental, and vision insurance Health Savings Account (HSA) A 401(k) plan (and 2% company match) Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind Quarterly stipend for perks and benefits that matter most to you Tuition reimbursement to support your ongoing learning and development Subscription to Calm Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job Description Job Description About TodayTix Group: TodayTix Group (TTG) is the global e-commerce leader for cultural experiences, designing frictionless discovery and purchase journeys through innovative product design and industry-leading technology. Our portfolio of brands including TodayTix, New York Theatre Guide, London Theatre, Show-Score, Arthouse, Arthouse London, and Secret Cinema connects millions of customers with the best in live entertainment. Powered by vast data and insights, TTG helps theatres, producers, and cultural institutions reach highly engaged audiences and unlock meaningful revenue, transforming how tickets are sold across the world. In 2025, TTG entered a new chapter as part of MARI, the global events and experiences company powering world-defining live experiences. Together, we're expanding our reach, deepening our impact, and accelerating a shared vision to redefine the event lifecycle through seamless discovery, purchase, and engagement. Life at TodayTix Group We thrive in a nimble, growth-oriented environment where adaptability, curiosity, and a bias toward action help us stay ahead of the curve. We move quickly, iterate often, and expect everyone to take ownership of their impact - because we're building the future of live events, and there's no script for what comes next. New joiners are set up for success with a 90-day onboarding journey, complete with clear goals and measurable milestones. We believe feedback fuels growth, so we hold twice-yearly performance reviews focused on impact and development. Above all, you'll be working alongside a team of collaborative, passionate, and kind humans - people who love theatre and live experiences, and who support each other just as much as they challenge each other to do great work. We are seeking outstanding applicants of all backgrounds to join our team to bring new voices, talent, and perspectives to the table. We encourage all to apply. About the Role: Powered by TodayTix (PxT) is TodayTix Group's enterprise ticketing and e-commerce division - the technology and tools that help the world's leading cultural organizations, attractions, and live events power their box office and drive online sales. We work with some of the most exciting venues, producers, and event organizers on the planet, and we're building the platform that helps them thrive. We're looking for a Lead Product Designer to join our Powered by TodayTix team to expand our partner portal to support theatre, sports, attractions, exhibitions and more. You'll set the bar for design quality, translating complex, nuanced industry concepts into clear, elegant user flows - bringing systematic UX thinking, a refined eye for UI detail, and the confidence to drive decisions forward independently. This role sits at the heart of our B2B inventory and event management platform, shaping the experience for live event partners who rely on it to run their business. If you're passionate about making complex tools feel effortless and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Please note: This full-time position is based in New York. We encourage collaboration by working a minimum of 2 days per week in the office, while also offering flexibility for employees to choose where they work for the rest of the week. What Success Looks Like: Independent Execution: You drive complex projects end-to-end with minimal oversight, proactively managing stakeholder expectations and scope changes. Strong Design Collaboration: You articulate design decisions clearly, rationally and objectively, advocate for users, and bring cross-functional partners along with you. Growth Mindset: You approach challenges as opportunities to learn, and raise the bar for the people around you. Design System Stewardship: You leverage and evolve the Design System with taste and judgment, pressure testing the scalability of each component setting standards the broader team can follow. Craft Leadership: You consistently translate complex, nuanced product challenges into simple, intuitive user flows - without sacrificing depth or business logic. What You'll Do: Lead design across complex B2B product initiatives, from early discovery through delivery and QA. Collaborate closely with product managers, engineers, and other designers to define and craft outstanding product experiences. Lead design reviews and brainstorming sessions, presenting regularly to design leadership and company executives. Proactively set expectations with stakeholders and communicate clearly when scope or direction shifts. Promote a culture of design excellence - mentor other designers, champion quality, and lead by example. Use AI tools fluently across your workflow (research, ideation, prototyping, and production) and help establish best practices for the team. This includes using AI-assisted coding to ship frontend components and maintain design system quality without always relying on a developer. Partner with developers to ensure designs are implemented accurately and to a high standard. Regularly use the product to uncover usability issues, identify bugs, and suggest thoughtful improvements. We're Looking for Someone With: 6+ years of experience in Product Design, with experience in a lead or senior capacity. Strong UX fundamentals and a refined eye for UI - able to simplify complex concepts and work within a Design System with taste and judgment. B2B or dashboard/data-heavy design experience - comfortable designing for complex, information-dense products. Proficiency in Figma and prototyping tools, with experience conducting generative and usability research. A strong portfolio of user-centered, beautifully executed UI - ideally including B2B or enterprise product work. AI fluency - you actively use AI tools to work faster and smarter, including a willingness to use AI-assisted coding to contribute directly to the design system and frontend. The ability to work independently, manage multiple projects, and drive work forward without excessive oversight. Excellent communication skills - able to present and defend work to stakeholders at all levels with clarity and confidence. Experience working in a squad, collaborating with developers and QA engineers to ensure timely, high-quality delivery. Salary ranges are determined by competitive market data for our size, stage, and industry, experience and location of the applicant, and our internal salary banding, which is reviewed at least annually. We aim to be as transparent, equitable, and fair as possible. Qualified candidates and our Talent Acquisition team will discuss salary and benefits in the initial conversation, and final salary will be determined after candidates complete the interview process. We expect that the majority of candidates who are offered roles at TTG fall healthily throughout the range based on the above factors. To learn about the Perks and Benefits outside of the salary, please check out our "Good to Know" section! Good to Know: TodayTix Group takes care of our team. We're proud to offer a generous suite of benefits and perks. Here are some of our favorites: -Hybrid work environment (blend of in-office and at-home days) -Up to 4 weeks per year of flexible 'work from anywhere' -Healthcare, vision, and dental plans, with generous contributions from the company -Life and disability insurance -Paid Parental Leave -Generous 401(k) Matching -Flexible Paid Time Off -Free membership to One Medical Group & Employee Assistance Program -Annual Professional Growth Budget -Employee donation matching -Employee Referral Program -Pre-Tax Flexible healthcare spending account (FSA), Dependent Care FSA and Commuter Benefits TodayTix Group is proud to be an equal opportunity employer, committed to fostering a workplace that celebrates diversity and inclusion. We welcome candidates of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. We are also committed to providing reasonable accommodations for applicants and employees based on their religious practices, mental health, or physical needs. For information on our US employee and applicant privacy policy, click here. For more information about the data we collect and retention periods, please see our Data Collection Notice here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Description: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: The Agentic AI & MCP Specialist will architect, develop, and operationalize next-generation agentic systems powered by advanced LLMs and Model Context Protocol (MCP) frameworks. This role focuses on building intelligent, multi-step, tool-using agents that can autonomously reason, plan, and execute complex workflows across a cloud-based analytics ecosystem. The specialist will design and implement agent orchestration frameworks, integrate model-driven decision logic, and build robust, production-grade agent capabilities that safely leverage emerging AI techniques. This position requires a deeply skilled software developer who combines strong engineering fundamentals with hands-on experience creating agentic systems, working with MCP-based integrations, designing LLM-driven tools, and building secure, scalable AI applications. The role provides technical leadership, explores cutting-edge agentic patterns, drives proof-of-concept innovation, and partners with engineering and product teams to translate experimental architectures into real-world impact. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Bachelor's Degree and 10+ years of software engineering experience Experience designing, developing, and supporting production applications, platforms, or services. Experience developing agentic AI solutions, including planning, tool utilization, workflow orchestration, multi-step reasoning, or autonomous task execution. Experience designing and implementing Model Context Protocol (MCP) integrations, tool interfaces, or model-driven service architectures. Ability to analyze business, customer, or mission requirements and develop scalable AI-driven solutions that align with technical and operational objectives. Experience with large language model (LLM) development practices, including fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and agent interaction patterns. Proficiency in Python and experience working with APIs, microservices, distributed computing environments, and cloud-native architectures. Experience deploying and integrating AI agents or LLM-enabled applications within cloud environments such as Azure, AWS, or Google Cloud Platform (GCP). Knowledge of MLOps and LLMOps practices, including model versioning, automated testing, deployment automation, monitoring, performance evaluation, and governance. Ability to contribute to solution design discussions, provide technical guidance to team members, and communicate AI-related concepts to technical and non-technical audiences. Experience using version control systems and CI/CD practices, including source code management, automated testing, deployment pipelines, and release management for production environments. Desired Qualifications: Experience building multi-agent systems, agent swarms, or coordinated reasoning frameworks. Familiarity with advanced tool-calling strategies, including dynamic tool selection, function-call planning, or graph-structured task planners. Experience with structured LLM evaluation methods, agent benchmarking, or test harnesses for autonomous systems. Knowledge of performance optimization techniques for LLMs and agents, including caching, model distillation, model routing, or accelerated inference. Background integrating agentic components with large-scale data or analytics platforms (e.g., Databricks, Snowflake, Spark). Hands-on experience developing innovative POCs or experimental agentic architectures in fast-paced R&D environments. Familiarity with emerging agentic frameworks such as Strands Agents, LangGraph, CrewAI, etc. Exposure to safety-oriented design patterns for autonomous systems, including guardrails, validation layers, or constrained-action frameworks. Experience designing and building secure, compliance-aware systems that handle sensitive data in accordance with HIPAA and federal security standards, including implementation of encryption, access controls, auditability, and governance for protected health information (PHI) within AI/LLM workflows. Working Environment : eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any othe

Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. 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Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role You will play a pivotal role in driving the overall development and integration of our satellite bus for mission success. You will be primarily responsible for successful K2 missions, acting as a deputy program manager internally and with customers. You will work across engineering, production, and business development to deliver reliable flight systems on time. You will own bus-level design integration and champion technical readiness from concept through launch. In this role, you will collaborate with a highly skilled, cross-disciplinary team to develop innovative solutions for complex challenges, ensuring alignment with mission requirements and customer expectations. Our fast-paced, startup environment demands a proactive, adaptable leader who thrives in high-stakes scenarios, navigates ambiguity, and delivers results under aggressive timelines. If you are a self-starter with a passion for innovation in space systems, a drive to solve previously unsolved problems, and a commitment to delivering world class satellite solutions, we want you on our team. Responsibilities Program Leadership: Develop and manage engineering and program schedule, vehicle design, critical performance trades, resource allocation, and mission success Strategic Development: Define bus-level milestones, requirements, and long-term objectives in collaboration with stakeholders Program Execution: Drive engineering and flight readiness activities to meet mission and contract commitments Cross-Functional Integration: Work closely with engineering teams to assess vehicle readiness, manage technical changes, and mitigate risks Systems Development: Establish and improve engineering processes, reviews, and analysis frameworks to support K2 growth Design Reliability: Support internal design reviews and development ensuring adherence to requirements and high reliability Operate effectively in a rapidly evolving startup where agility, autonomy, and proactive problem-solving are essential Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 6+ years of experience in technical aerospace or manufacturing 3+ years of experience managing projects, technical trades, and/or technical teams Strong understanding of launch vehicles, spacecraft, or other aerospace systems Exceptional written and verbal communication skills Nice to Have Master's degree or PhD in an engineering or science discipline 10+ years of experience in technical aerospace or manufacturing 5+ years of experience managing projects or technical trades Active Top Secret or TS/SCI clearance Experience leading Spacecraft mission design, development, integration, test, and/or launch across multiple departments Proven ability to innovate in process improvement and system architectures Skilled in generating executive summaries to drive decision making through senior leadership discussions Familiarity with contracts and mission requirements evaluations Demonstrated track record of project ownership, responsibility for execution, and successful outcomes Ability to travel up to 25% of the time Compensation and Benefits Base salary range for this role is $175,000 - $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. 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 Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its 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, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. 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 The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. 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.

Job Description Job Description Hansen Gress is a fast-growing, Alaska-based Managed Services Provider with deep roots in Juneau and active expansion into Anchorage. We're 30 people today, scaling quickly, and investing in the people and systems needed to serve our clients with consistency and excellence. We run lean, trust our team, and believe in leadership that works alongside people-not above them. We're relationship-first, execution-focused, and allergic to bureaucracy. If you want to own your work, improve how things get done, and grow into something bigger, this is the right place. The Role The MSP Technical Lead (L3) is our highest individual-contributor technical role and one of the most important seats in the company. You will operate across our three core technical functions-Help Desk, Projects, and Centralized Services-but will typically be hired into one or two concentrated areas. In this role, you'll be the person we trust with our hardest problems, most complex client environments, and most critical escalations. You're the person who holds the line when things get hard and makes things better when they're not. This isn't just a "senior tech" role. You're expected to identify patterns across clients, build and improve processes, reduce key-person risk through documentation and training, and proactively raise the technical bar across the team. You bring structure and repeatability to everything you touch. Successful and consistent performance at this level will position you for future leadership and specialization opportunities, including roles like Onboarding Manager, Help Desk Manager, Centralized Services Manager, and others as the company grows. What You'll Do Technical Execution Take ownership of complex, high-priority escalations from L1 and L2 technicians across Help Desk, Project, and Centralized Services functions. Resolve advanced issues involving Windows Server environments, Microsoft 365, Active Directory, Group Policy, DNS, and enterprise security configurations. Configure, maintain, and support virtualization platforms including Hyper-V-VM builds, migrations, and ongoing maintenance. Administer and troubleshoot Azure Virtual Desktop (AVD) environments and related Microsoft cloud technologies. Configure and troubleshoot firewalls, switches, VLANs, VPN connectivity, and LAN/WAN infrastructure across platforms including SonicWall and Ubiquiti. Utilize PowerShell and CMD scripting for automation, troubleshooting, and system administration tasks. Leverage AI tools actively and fluently to force-multiply your output-whether that's accelerating documentation, automating repetitive work, diagnosing complex issues faster, or building better client-facing materials. At L3, AI proficiency is a professional expectation, not a nice-to-have. Anticipate technical risks before they become client problems-evaluate business impact, flag issues proactively, and maintain clear records of outcomes and contributions. Process, Documentation & Knowledge Create and improve processes-not just follow them. At L3, you're expected to lead documentation standards and build repeatable systems that reduce key-man risk. Actively train and teach teammates. You're responsible for helping others grow, not just solving problems yourself. Build playbooks, standardize delivery, and identify opportunities for automation that improve consistency and scale across the team. Document client environments, recurring issues, and resolutions so that institutional knowledge lives in the system, not just in your head. Communication & Client Experience Communicate clearly and proactively with clients and internal staff-especially in high-pressure situations where confidence and clarity matter most. Set and manage client expectations accurately, keeping relevant stakeholders informed on timelines, risks, and progress. Communicate trends, risks, and service improvements upward to leadership with context and clarity. Understand your clients' businesses, not just their technology. L3 technicians are expected to know how a client operates, what matters to their leadership, and how a technical issue or recommendation translates into real business impact. Represent Hansen Gress professionally in every client interaction-this role carries real weight in how clients experience us. Ownership & Accountability Own your outcomes-not just your tasks. You're accountable for the quality, completeness, and follow-through on everything you touch. Prioritize effectively across competing demands. Help Desk volume, project timelines, and centralized service delivery all require judgment about what matters most. Proactively identify what's not working-across your own work, team processes, and client environments-and do something about it. Mentor junior technicians and invest in their development as a direct expression of your own leadership potential. Who You Are You have substantial IT support experience-typically 5-10+ years-with meaningful time in an MSP or IT services environment. We care more about the depth of what you've built and solved than the number of years on your resume. You've earned the L3 designation through demonstrated capability-not just tenure. You operate at this level consistently, not occasionally. You identify patterns across tickets and client environments and use them to prevent problems, not just react to them. You're a strong communicator in both directions-clear with clients, and clear with leadership. You don't let things fall through the cracks silently. You take documentation seriously. You understand that knowledge trapped in one person's head is a liability, and you build systems that outlast any individual. You mentor others naturally. Sharing what you know isn't a burden-it's part of how you define doing a good job. You're organized, detail-oriented, and process-driven-but you can also move fast when the situation calls for it. You're adaptable. In an MSP environment, no two days are the same, and you're energized rather than frustrated by that reality. You are a recognized subject matter expert across the full Hansen Gress technology stack-not a generalist who knows a little about everything, but someone the team and our clients can point to and say "ask them." You hold deep, current, hands-on expertise across the platforms and disciplines we deliver. You are technically reliable-the kind of person who doesn't speculate out loud, doesn't guess under pressure, and doesn't put wrong information into the world. At L3, the team and our clients defer to you. That trust is earned and protected by a consistent commitment to getting it right. Living in Alaska is either a passion of yours or a dream you want to fulfill. We are looking for someone who is "all in" on Alaska and fits our team and culture. Technical Qualifications Deep, hands-on expertise in Microsoft 365/O365 administration-including Exchange Online, Teams, SharePoint, Intune, Entra ID (Azure AD), licensing management, and tenant-level configuration and troubleshooting. Hands-on experience managing Hyper-V environments, including VM builds, migrations, and maintenance. Strong understanding of LAN/WAN networking with experience configuring and troubleshooting VLANs, managed switches, and connectivity issues across platforms such as Ubiquiti and SonicWall. Advanced experience configuring and troubleshooting firewalls, including routing, VPN, access policies, and network segmentation. Experience administering Azure Virtual Desktop (AVD) and Microsoft 365 cloud technologies. Basic to intermediate scripting and automation experience using PowerShell and CMD. What You'll Need Ability to pass a basic background check for airport security badging Valid driver's license (or willingness to get one) and the ability to drive. Driver policies apply. Where You'll Work Must be based in Juneau or Anchorage, Alaska This role requires regular face-to-face collaboration in Juneau, Anchorage, and other Alaska communities. This is NOT a fully remote position What's In It For You Full-time role Salary: $100,000-$125,000 a year, depending on experience Health insurance (with vision coverage) Retirement plans Work in Juneau or Anchorage with relocation assistance Why You'll Want to Work with Us Employee satisfaction and growth are important to us! We are committed to helping employees dedicate part of their paid time to personal growth through courses and certifications relevant to their specific interests, research and development, and team-building opportunities. See what else our current employees have to say. Hansen Gress is committed to equal treatment and opportunities for all employees and job applicants. We are dedicated to building an inclusive and diverse company and have no tolerance for discrimination or harassment. We strive to provide meaningful opportunities for all, particularly those who have been traditionally marginalized in tech fields.

Job Description Job Description Overview Hanson, an integrated marketing agency focused on technology-enabled solutions, is seeking a Development Manager to provide technical leadership for complex website and digital projects while helping lead and grow a team of developers. This is a hands-on leadership role, but not primarily a coding role. The Development Manager serves as the technical/build lead on assigned projects, helping teams define the right technical approach, break complex work into actionable plans, establish clear expectations and deliver high-quality work within project commitments. This person will work closely with project managers to drive development progress, identify and resolve technical challenges, and help the team stay accountable to process, timelines and budgets. The Development Manager will also play an important client-facing role, contributing to discovery, solution architecture, estimation and statements of work, serving as a trusted technical advisor throughout project delivery. They will directly manage a small team of developers while providing technical guidance and leadership to additional internal and contract developers based on project needs. The ideal candidate combines strong .NET and web-development expertise with the communication, judgment and leadership skills to make the developers around them more effective. This position reports to our Managing Director of Development. Responsibilities & Expectations Technical & Build Leadership Serve as technical/build lead for complex website and digital projects, taking responsibility for the overall technical approach and development execution. Lead technical planning by breaking down complex work, defining requirements and dependencies, estimating effort, assigning work and establishing clear definitions of done. Direct and support developers throughout delivery, ensuring they understand priorities, expectations and project commitments. Monitor development progress and proactively identify risks, blockers and gaps before they affect project timelines or budgets. Troubleshoot alongside developers when needed, helping teams work through technical challenges and make sound decisions without becoming a bottleneck. Establish appropriate technical quality controls, including code review, testing and release-readiness practices, either directly or by ensuring the right team members are accountable for them. Make architecture and implementation decisions for assigned projects, collaborating with senior technical leaders when appropriate. Maintain enough hands-on technical depth to review solutions, evaluate code and step into development work when necessary, while focusing primarily on making the broader team more effective. Project Delivery & Collaboration Partner closely with Project Managers to deliver development work on time, on budget and within scope. Provide the technical leadership and authority necessary to establish clear expectations with developers and hold them accountable to project commitments. Work with Project Managers to surface risks early, evaluate options and develop practical mitigation strategies. Help determine how development work should be structured, sequenced and staffed based on project needs, team capacity and individual capabilities. Coordinate effectively with project management, design, strategy, account management and other disciplines to ensure technical execution supports the broader project and client objectives. Direct the work of contractors and external development partners when appropriate, setting expectations and ensuring their work meets Hanson standards. Client, Discovery & Pre-Sales Leadership Serve as a senior technical presence with clients, communicating complex technology considerations clearly to both technical and non-technical audiences. Lead or participate in technical discovery, helping teams understand client needs, existing technology environments, constraints and opportunities. Develop and recommend technical approaches and architectures that balance client objectives, user needs, project scope, budget and long-term maintainability. Partner with Account Management, Project Management and agency leadership to scope and estimate development work and contribute technical requirements, assumptions and dependencies to statements of work. Participate in business development conversations and presentations when senior technical expertise is needed. Build credibility and trusted relationships with client technology stakeholders and confidently guide conversations around technical decisions and tradeoffs. Team Leadership & People Management Directly manage a small team of developers, with responsibility for regular 1:1s, coaching, feedback and professional development. Lead quarterly and annual performance-management activities for direct reports and help identify meaningful opportunities for growth. Set clear expectations and goals for direct reports and actively address performance issues and development needs in real time. Participate in recruiting, interviewing, hiring and onboarding development team members. Help foster a development culture built around collaboration, accountability, continuous learning and proactive communication. Partner with development leadership to establish and evolve technical standards, processes and best practices that improve quality, consistency and efficiency. Proactively evaluate and adopt AI tools and workflows that improve development efficiency, quality and team effectiveness. Experience & Qualifications Demonstrated experience providing technical leadership for web development teams, including planning work, directing developers and driving technical delivery. Strong professional experience with .NET technologies and modern web application development. Experience architecting, building and supporting complex websites and web applications. Experience with enterprise content management systems; experience with platforms such as Optimizely and Sitefinity is a strong plus. Broad understanding of modern front-end, back-end, API, integration, data and hosting considerations, with particular strength in back-end/.NET development. Demonstrated people-management or team-leadership experience, including coaching, feedback, accountability and professional development. Ability to lead multiple projects and priorities simultaneously while maintaining visibility into progress, risks and team needs. Agency, consulting or professional-services experience is strongly preferred; candidates from development firms or enterprise organizations with comparable client, delivery and leadership experience will also be considered. Experience directing contractors, external development partners or distributed development teams is a plus. Willingness to travel for client meetings, team collaboration and other business needs as required. We value demonstrated technical leadership, judgment and the ability to make teams successful over a specific number of years of experience or particular degree. What We Offer Hybrid work environment, with a preference for candidates within commuting distance of Toledo, OH Competitive salary Medical, dental and vision coverage Group life insurance Short-term and long-term disability insurance 401(k) + Employer Match Paid holidays, including paid time off between Christmas Eve and New Year's Day Paid birthday day off Flexible spending account (FSA) and Health Reimbursement Arrangement (HRA) Hanson is an equal opportunity employer. We hire qualified professionals without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender, gender identity, age or any other status protected by applicable law. Company Description Hanson is a digital agency that partners with client organizations to design, build and optimize digital experiences that drive measurable business results. Company Description Hanson is a digital agency that partners with client organizations to design, build and optimize digital experiences that drive measurable business results.

Sr. Staff AI Engineer 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer 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).

Sr. Staff AI Engineer 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer 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).

Sr. Staff AI Engineer 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level 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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer 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).

Job Description Job Description Synovix is seeking a Configuration Manager for a defense development program we are supporting in Huntsville, AL. This program offers the opportunity to support the clean sheet design of a new defense product from its earliest development stages through integration, testing, and eventual production. The program has the potential to transition into production much faster than traditional government acquisition timelines. For engineers who want to expand their capabilities, this is a rare opportunity to participate in the complete development lifecycle. What You Will Do Facilitate and document Configuration Control Boards, Technical Review Boards, and Change Boards. Establish, maintain, and audit configuration-management libraries for documents, software, and hardware items. Plan and coordinate preparation, review, and release of engineering drawings, production specifications, schedules, and contract modifications to ensure compliance with contract requirements. Administer change processes, including change-order creation, authorization, status tracking, and integration with engineering, quality, and mission-assurance functions. Manage the full lifecycle of change packages-from initiation through closure-verifying implementation and updating status records. Perform configuration status accounting, generate metrics, and produce reports on baseline maturity and item status. Conduct configuration audits and verify correct marking of documents per contract and corporate guidance. Execute contract and supplier data-requirement activities, including planning, scheduling, delivery, and maintaining Supplier Statements of Work and Supplier Requirements Documents. Support development, enhancement, and maintenance of configuration-management and data-management tools. Provide technical configuration liaison with senior internal and external stakeholders, deliver presentations and coordinating cross-functional resolution of configuration issues. Required Qualifications Bachelors degree from an accredited university and 5-10 years of relevant experience. Must be a US Citizen with an active DoD Secret Clearance, at time of application, current and within scope, with an investigation date within the last 6 years. Must have the ability to obtain and maintain Top Secret Clearance and Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business needs. Proficient with Microsoft Office Suite and SharePoint. Understanding of DoD contracts and Contract Data Requirements List (CDRL) requirements. Preferred Qualifications Knowledge of configuration-management principles and best practices, including standards such as EIA-649-1, MIL-HDBK-61, and GEIA-859. Experience developing and maintaining program plans, process documentation, and configuration-management tools. Proficiency with configuration-management data tools such as Atlassian Jira, Confluence, and Tableau. Exceptional organizational, communication, and interpersonal skills with the ability to interface across all levels of the organization. Synovix, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, religious creed, gender, sexual orientation, gender identity, gender expression, transgender, pregnancy, marital status, national origin, ancestry, citizenship status, age, disability, protected Veteran Status, genetics or any other characteristics protected by applicable Federal, State, or Local Law.

Join a Team That Makes a Difference! At Noble, the work you do matters. We manufacture innovative products that support the military, advance the medical field, and improve everyday life. Whether it's enhancing safety, enabling critical care, or solving real-world challenges, our solutions help people when it matters most. Be part of a purpose-driven team where your skills contribute to meaningful change. Due to continued rapid growth, Noble Biomaterials, Inc. is seeking a highly organized and detail-oriented Technical Project Manager to join our team. This role will support product development and testing activities across our antimicrobial, wellness, and conductive materials businesses. Serve as the central coordinator for multiple development projects, helping teams stay on track while managing testing, certifications, documentation, purchasing, and supplier relationships. The ideal candidate enjoys both project coordination and technical problem-solving and can successfully manage multiple priorities in a fast-paced environment. What You'll Get: Starting Pay: $64,700-84,000 annual salary. Based on experience. Weekly Pay - Get Paid Every Thursday! Full Benefits Starting the 1st of the Month After Hire! Medical, Dental, Vision $2,000-$4,000 Health Reimbursement Account (HRA) An account that is funded by the company to cover a portion of the in-network deductible for you and your family. (debit card) Company-Paid Life, Short & Long-Term Disability FSA, Voluntary Insurance Options 401(k) + Company Match (after 6 months) 11 Paid Holidays + PTO What You'll Do: Project Management & Coordination Track project progress, actions, and timelines across multiple development programs. Coordinate activities between R&D, Operations, Finance, Sales, suppliers, and testing laboratories. Gather information, identify issues, and recommend solutions. Support material sourcing, bills of materials, and cost analysis. Take ownership of assigned product development projects. Product Testing & Documentation Coordinate and manage product testing with external laboratories. Support antimicrobial and conductive performance testing programs. Maintain certification records, test reports, and technical documentation. Manage product samples and ensure projects move efficiently through development. Review test results and identify potential concerns related to product claims or requirements. Budget & Purchasing Support management of R&D testing budgets. Process purchases and coordinate vendor payments with Finance. Track spending and maintain accurate records. Qualifications: Required 3+ years of professional experience in project coordination, product development, testing, operations, or a related field. Proven ability to manage multiple projects and follow through on commitments. Strong organizational skills and attention to detail. Excellent communication and relationship-building skills. Ability to work cross-functionally and influence outcomes without direct authority. Strong analytical and Microsoft Excel skills. Ability to adapt to changing priorities and business needs. Preferred Bachelor's degree in a technical, scientific, engineering, or related field. Experience working with testing laboratories or product certification programs. Product development or commercialization experience. Familiarity with ASTM, ISO, or AATCC testing standards. Knowledge of textiles, antimicrobial technologies, conductive materials, or related industries. Experience with ISO 9001 and/or ISO/IEC 17025 quality systems. What We Offer Opportunity to work directly with senior R&D leadership. Broad exposure to product development, testing, and commercialization activities. Technical training and development opportunities. Visible impact within a growing, innovation-focused organization. What Success Looks Like In your first year, you will: Independently coordinate testing, documentation, and project activities. Maintain accurate project status and proactively drive follow-up actions. Provide well-researched recommendations and solutions. Manage budgets and purchasing processes effectively. Successfully lead assigned development projects with minimal oversight. Ready to Join a Team That Invests in You? Apply today and take the next step in your manufacturing career with a company that values its employees and offers weekly pay and benefits that start right away! Equal Opportunity Employer/Veterans/Disabled Compensation details: 0 Yearly Salary PI2a363eef83f1-7286

Are you excited about the opportunity to join a diverse team working together to influence the direction of an innovative new cloud database? Does contributing to product engineering and business strategy for a new distributed database service match your career goals? If so, the role of Senior Product Manager in the Aurora Distributed SQL organization may be your dream job. Key job responsibilities Your primary responsibility as a Senior Product Manager - Technical (PMT) is to help accelerate the product engineering and business growth of Amazon Aurora DSQL. A Senior PMT achieves this growth by shaping and leading product strategy - turning insights and customer feedback into plans that accelerate delivery and delight customers. This includes taking ownership of roadmap prioritization, and contributing to feature development by acting as the voice of the customer throughout the software development lifecycle. You will collaborate directly with software engineering teams, and interact with senior business partners across marketing, finance, and sales organizations. A day in the life A successful candidate will demonstrate proven product management skills with experience delivering features for large scale enterprise information systems. The candidate will be comfortable managing competing priorities and be able to bring clarity and order to ambiguous scenarios. The candidate will demonstrate subject matter expertise in database technology and is familiar with related storage and server hardware. Exemplary written and verbal communication skills are important, as the candidate will frequently work with leadership and colleagues that cross organizational boundaries. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 3+ years of technical (software development, network development, IT, other related) experience - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience, or degree in advanced technology PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually

We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities - Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product - Define standard product models and product-relationship patterns for different service categories - Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration - Architect agent-readable product metadata standards for AI consumption across internal and external experiences - Drive adoption of product standards across new offerings and established catalog systems - Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements - Partner with engineering teams across AWS's billing, metering, and cost management organizations BASIC QUALIFICATIONS - 3+ years of working as a Technical Product Manager experience - Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Bachelor's degree in computer science, engineering, math, finance, or economics PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies - 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Experience developing, deploying and managing AI products at scale - Experience with billing, commerce, or catalog systems - Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 167 500.00 USD annually