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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 Applied AI 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 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 the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. 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 . click apply for full job details

Job Description What happens when you combine startup speed with Amazon-scale impact? You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices. Here, you build AI and you build with AI - at the same time. This is not a traditional SDE role. It's a chance to shape the future of security tooling with a small, fast team that ships like a startup and deploys like Amazon. Key job responsibilities Design, build, and ship AI-powered security products: Own the full lifecycle from architecture through production deployment of large-scale, multi-tiered distributed systems that protect AWS Customers. Leverage agentic AI development practices to accelerate every phase. Engineer end-to-end, full-stack experiences: Build across the entire stack with intuitive front-end interfaces, robust back-end services and REST APIs, and intelligent middleware. Deploy on AWS while designing for cloud-agnostic, multi-cloud environments so customers are protected wherever they operate. What you build: Design and implement the intelligent systems customers interact with - agentic architectures, conversational interfaces, and automation workflows that make AI-first security real at scale. How you build: Use AI tools and techniques (established and experimental) to write, test, review, and ship code faster. Multiplying your own velocity, quality, and creative output across greenfield and brownfield projects. Plan, estimate, and drive delivery: Lead implementation planning, effort estimation, and phased rollouts across systems and operations; you own outcomes with the autonomy and accountability expected in a high-trust startup environment. Prototype rapidly and innovate relentlessly: Validate hypotheses with customers, iterate quickly, and bring a builder's mindset every day. The best idea wins here regardless of where it comes from. Partner across disciplines: Work directly with security researchers, applied scientists, product managers, and UX designers to shape product direction and turn customer needs into technical solutions. Small team means short lines between you and the decision. Own operational excellence: Participate in on-call rotations, drive root-cause analysis, and continuously raise the bar on reliability, performance, and security of the systems you build. You ship it, you run it Elevate the team - and yourself: Contribute to technical reviews, mentor teammates, and champion AI-first development practices. You'll build the engineering culture of a fast-growing team from the ground floor, and in the process become the kind of engineer who has shaped a product, scaled an organization, and defined how modern security software gets built. A day in the life No two days look the same on this fast growing, AI first development team. You might start your morning reviewing output from overnight agentic coding sessions, then dive into building a RAG pipeline or designing APIs that connect intelligent interfaces to real time threat data across multiple clouds. After lunch, you join a design session with senior and principal engineers where your ideas carry weight regardless of title. You own features end to end, ship using the latest AI assisted development workflows, and see your work reach production fast. This is where builders thrive. About the team Amazon Enterprise Security Products is built by builders who tackle challenges others might consider too ambitious. We're a small team where there are no layers between you and the decision, no waiting quarters to see your work reach customers. Every team member brings an owner's mentality. If there's a problem worth solving, we solve it. No mission is beyond reach, no detail beneath our attention. We move fast, we ship fast, and we learn from what we ship. This is where builders who want to make the impossible routine come to do their best work. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience in AI assisted or agentic coding practices PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building agentic coding processes (Ralph loop, parallelized agentic development, etc.) 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 -we- hire/accommodations 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, TX, Austin - 143 400.00 USD annually

Job Description Job Description Description: Since 2004, Vadum has built a brand known for practical innovation that delivers solutions to customers in the competitive field of national defense research and development. We are seeking a visionary Electronic Warfare Systems Architect to lead the conceptualization, design, and implementation of advanced RF and digital processing systems. As the technical lead, you will bridge the gap between mission requirements and hardware/software implementation, driving the technical roadmap for our next-generation EW and radar capabilities. Key Responsibilities: System Architecture & Technical Leadership - Define end-to-end radar and EW system architectures, from RF front end and digitalization through digital processing, exploitation, and user outputs. - Decompose mission requirements into system-level specifications and performance allocations. - Lead architecture trade studies considering performance, latency, SWaP, compute resources, and scalability. - Establish technical roadmaps for signal processing and exploitation capabilities. - Serve as technical lead or chief engineer on radar/EW programs. - Mentor and guide engineering teams in architectural best practices and technical rigor. Radar & Electronic Warfare Signal Processing - Architect and oversee development of advanced signal processing techniques including: Pulse compression and Doppler processing Detection and CFAR algorithms Beamforming and array processing Target tracking and state estimation Emitter detection, classification, and geolocation - Guide the integration of machine learning techniques for RF signal classification and sensor exploitation. - Ensure algorithm designs are robust, testable, and suitable for real-time or near-real-time deployment. Hardware/Software Integration - Align algorithm development with hardware constraints (FPGA, GPU, CPU, embedded systems). - Define digital signal processing requirements and data flows across system interfaces. - Support integration, validation, and performance verification efforts. - Review and approve technical designs, interface control documents, and verification plans. Customer & Program Engagement - Present technical approaches and results to internal leadership and government customers. - Contribute to proposals, technical volumes, and white papers. - Identify technical risks and develop mitigation strategies. - Support long-term technology and product roadmap planning. Requirements: Required Qualifications Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, or related field. 10+ years of experience in radar or electronic warfare systems. Demonstrated experience architecting complex sensing or RF exploitation systems. Deep expertise in radar signal processing, including detection, estimation, tracking, and classification. Experience designing systems under real-time or embedded constraints. Strong proficiency in C++ and Python for algorithm development and system integration. Experience developing and validating algorithms in MATLAB . Familiarity with FPGA, GPU, embedded systems, or high-performance computing architectures. Strong written and verbal communication skills. Active security clearance or ability to obtain one. Preferred Qualifications Experience transitioning algorithms from MATLAB/Python prototypes to optimized C++ implementations. Experience with real-time Linux or embedded environments. Experience applying machine learning frameworks (e.g., PyTorch, TensorFlow) to RF data. Prior technical leadership, Chief Engineer, or Principal Engineer experience. Experience with airborne, ground-base, maritime, or passive radar systems. Experience with electronic support (ESM) or electronic attack (EA) systems. Why Join Us? Work on cutting-edge technology that directly impacts national security. Collaborate with a team of elite engineers. Comprehensive benefits package including health, retirement, and growth opportunities. Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact the HR Manager at ext.: 180.

Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job This job is a member of the Technology Workforce Strategy and Transformation team within the Information Technology Division. As a member of this team, you will help shape how American Airlines builds, scales, and sustains a modern global technology workforce aligned to our corporate vision, mission, and long-term transformation priorities. This is a highly visible role for someone who enjoys connecting strategy to execution by building structure from ambiguity, managing complex dependencies, improving decision-making through data, and helping leaders navigate change. You will play a critical role in working directly with senior leaders, Finance, HR and other key technology stakeholders to advance workforce transformation priorities, helping to enable the work performed across the Workforce Strategy and Transformation team today, including transformation planning, governance, and execution, stakeholder coordination, executive reporting, workforce analytics, and day-to-day execution support our Technology organization. What you'll do Develop a strong working knowledge of the solution being implemented and provide related industry trends and analysis Analyze and interpret program data to prepare and deliver overall program review to sponsors and stakeholders Deliver programs following Agile methods and best practices Proactively identify and develop/formulate solutions for managing dependencies, mitigating risks and resolving issues at program level Actively drive the analysis and ultimate disposition of all change requests impacting assigned program Provide thought leadership, review processes and provide efficiency recommendations for all aspects of program management with an eye to sustaining and/or evolving the practice of program management at American Responsible for partnering with leadership to prepare and deliver reporting, program metrics and presentations Conduct effective and efficient large room planning sessions to build release plans, manage risks and dependencies, plan for contingencies and other program activities that require coordination with strong facilitation Develop and maintain pro-active and constructive relationship with stakeholders by demonstrating an understanding of the business, associated requirements and set expectations accordingly Collaborate with business unit leads to prioritize work based on business value Act as escalation point for project managers and proactively resolve any reported issues that will have impact to the overall program timeline All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of work experience in program/project management 3 years of experience scaling Agile to the program level or participating on a complex program as a business lead Preferred Qualifications- Education & Prior Job Experience 7 years of applied work experience in program/project management Proven track record of managing large-scale projects across different functional workgroups Experience with practical application of Organizational Change Management methods Skills, Licenses & Certifications Strong program and portfolio management skills, with the ability to manage complex workstreams, priorities, timelines, risks, dependencies, and follow-through across multiple stakeholders Strong analytical skills, with experience using workforce, financial, portfolio, or operational data to identify insights, track performance, and support decision-making Ability to translate strategic priorities into actionable plans, structured deliverables, executive-ready materials, and measurable outcomes Strong communication and facilitation skills, with the ability to prepare leadership updates, coordinate working sessions, document decisions, and drive accountability for next steps Experience partnering across Technology, Finance, HR, and business teams to support portfolio management, workforce planning, governance, and organizational transformation Ability to operate effectively in ambiguity, bring structure to complex problems, and balance strategic priorities with detailed execution What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

What happens when you combine startup speed with Amazon-scale impact? You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices. Here, you build AI and you build with AI - at the same time. This is not a traditional SDE role. It's a chance to shape the future of security tooling with a small, fast team that ships like a startup and deploys like Amazon. Key job responsibilities Design, build, and ship AI-powered security products: Own the full lifecycle from architecture through production deployment of large-scale, multi-tiered distributed systems that protect AWS Customers. Leverage agentic AI development practices to accelerate every phase. Engineer end-to-end, full-stack experiences: Build across the entire stack with intuitive front-end interfaces, robust back-end services and REST APIs, and intelligent middleware. Deploy on AWS while designing for cloud-agnostic, multi-cloud environments so customers are protected wherever they operate. What you build: Design and implement the intelligent systems customers interact with - agentic architectures, conversational interfaces, and automation workflows that make AI-first security real at scale. How you build: Use AI tools and techniques (established and experimental) to write, test, review, and ship code faster. Multiplying your own velocity, quality, and creative output across greenfield and brownfield projects. Plan, estimate, and drive delivery: Lead implementation planning, effort estimation, and phased rollouts across systems and operations; you own outcomes with the autonomy and accountability expected in a high-trust startup environment. Prototype rapidly and innovate relentlessly: Validate hypotheses with customers, iterate quickly, and bring a builder's mindset every day. The best idea wins here regardless of where it comes from. Partner across disciplines: Work directly with security researchers, applied scientists, product managers, and UX designers to shape product direction and turn customer needs into technical solutions. Small team means short lines between you and the decision. Own operational excellence: Participate in on-call rotations, drive root-cause analysis, and continuously raise the bar on reliability, performance, and security of the systems you build. You ship it, you run it Elevate the team - and yourself: Contribute to technical reviews, mentor teammates, and champion AI-first development practices. You'll build the engineering culture of a fast-growing team from the ground floor, and in the process become the kind of engineer who has shaped a product, scaled an organization, and defined how modern security software gets built. A day in the life No two days look the same on this fast growing, AI first development team. You might start your morning reviewing output from overnight agentic coding sessions, then dive into building a RAG pipeline or designing APIs that connect intelligent interfaces to real time threat data across multiple clouds. After lunch, you join a design session with senior and principal engineers where your ideas carry weight regardless of title. You own features end to end, ship using the latest AI assisted development workflows, and see your work reach production fast. This is where builders thrive. About the team Amazon Enterprise Security Products is built by builders who tackle challenges others might consider too ambitious. We're a small team where there are no layers between you and the decision, no waiting quarters to see your work reach customers. Every team member brings an owner's mentality. If there's a problem worth solving, we solve it. No mission is beyond reach, no detail beneath our attention. We move fast, we ship fast, and we learn from what we ship. This is where builders who want to make the impossible routine come to do their best work. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience in AI assisted or agentic coding practices PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building agentic coding processes (Ralph loop, parallelized agentic development, etc.) 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, TX, Austin - 143 400.00 USD annually

This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description Key Responsibilities / Duties: Define and execute enterprise security architecture strategies, standards, reference architectures, design patterns, and guidelines aligned with business objectives and technology modernization efforts. undefined Partners with business leaders, enterprise architects, engineering teams, and security stakeholders to embed security requirements into technology roadmaps, cloud adoption, and transformation initiatives. undefined Define security functional and non-functional requirements that support business objectives and strengthen solution design. undefined Assess the effectiveness of security controls across data protection, identity and access management, security monitoring, detective controls, infrastructure/network security, and incident response; recommend controls, processes, and remediation actions to address gaps and reduce risk. undefined Research, evaluate, and advocate for emerging technologies, architectures, and security products that advance the security maturity roadmap. undefined Act as a subject matter expert for advisory, review and approval of security designs, configurations, baselines, and technical standards. undefined Mentor security architects and technical teams, promoting architectural excellence, knowledge sharing, and clear communication of complex security concepts to technical and business audiences. undefined Other duties as assigned. Work Experience / Knowledge: 15+ years of progressive IT experience, including 10+ years focused on cybersecurity, security architecture, and enterprise architecture in large, complex organizations. undefined 5+ years of experience with cloud delivery platforms, including IaaS, PaaS, and SaaS, and providers such as Amazon Web Services (AWS) and Microsoft Azure. undefined Strong background across cloud security, Zero Trust, networking, identity and access management, data protection, AI platforms, and risk management. undefined Experience leading enterprise-wide security initiatives, including architecture, implementation, and adoption of security solutions and processes. undefined Ability to engage senior leaders, define requirements, and clearly communicate security risks, decisions, and recommendations. undefined Expertise in two or more technology domains, such as infrastructure, application security, network security, IAM, data protection, endpoint security or AI security. undefined Knowledge of industry security control frameworks such as NIST, CSA CCM, and CIS Critical Security Controls. undefined Proficiency with architecture modeling using industry-standard notation languages, such as ArchiMate. Willingness to travel both domestically and internationally. Frequency and duration to be determined by manager. Skills / Other Personal Attributes Required: Strong ability to influence across technical, business, and executive stakeholders to drive adoption of enterprise architecture standards and security recommendations. undefined Collaborative team player with strong communication, organization, and facilitation skills. High-energy, confident professional with an ability to remain calm and take control in a crisis. Ability to see the big picture and think and act strategically. undefined Self-motivated and able to work independently with minimal direction. undefined Open-minded, flexible, and receptive to diverse perspectives; able to adapt to changing demands and conditions. undefined Committed to continuous learning, capability development, and mentoring others. Formal Education: Bachelor's degree in computer science, information systems, or a related field, or equivalent demonstrated experience. License / Registration / Certification: Certified Information Systems Security Professional ( CISSP) or equivalent certification. undefined Certification in enterprise architecture methodology or framework, such as The Open Group Architecture Framework (TOGAF) or Sherwood Applied Business Security Architecture (SABSA), preferred. undefined Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), or relevant vendor certifications from AWS or Microsoft Azure preferred. The salary range for this position in Charlottetown is $120,000-130,000 CAD per year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

Job Description Job Description At ASAPP, our mission is simple: deliver the best AI-powered customer experience-faster than anyone else. We are guided by principles that shape how we think, build, and execute, including deep customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in small, highly skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're building a globally diverse team of technologists and problem solvers who thrive in fast-paced environments, value collaboration, and approach every challenge with a Day 1 mindset. With hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid iteration, and the challenge of building in a high-growth startup, this is more than a role-it's a journey. We are seeking a Principal AI Architect to be the senior technical voice our enterprise customers turn to as they plan how AI fits into their customer experience. You will spend most of your time with customer technology leaders, helping them shape a practical, forward-looking path on ASAPP's platform. The rest of your time you'll spend inside our Delivery, Research, and Engineering teams, staying close to what we're building and what's working in production, and sharing that knowledge with our Customer-facing technology teams. What You'll Do Serve as a trusted technical advisor to CTOs, CIOs, heads of CX technology, and enterprise architects at strategic prospects and customers. Bring a clear point of view on where conversational and agentic AI is heading, and help customers decide what to adopt now, what to plan for, and what to skip. Lead executive briefings, architecture discussions, and workshops alongside our account and solutions teams. Shape and qualify custom requests, favoring solutions that become reusable product capabilities, and partner with Product and Delivery before making commitments. Start with a structured onboarding rotation through our Delivery, Research, and Engineering teams, so you build hands-on knowledge of our platform and how we deploy it before taking on full account coverage. Embed regularly with Delivery, Research, and Engineering, and turn what you learn into concise guidance that helps our Solution Engineers, and related technical field teams. Bring customer needs back to Product and Engineering as clear, prioritized input. Represent ASAPP externally through content, talks, and industry conversations. What You'll Bring 10+ years in enterprise technology, including 5+ years as a principal or lead architect, solutions leader, engineering director, or applied AI/ML lead. Hands-on experience with LLMs, prompt engineering, and LLM application architecture; familiarity with conversational AI and speech. A track record of owning technical outcomes on complex enterprise programs. Excellent executive presence and communication, with the ability to explain technical ideas to both business and engineering audiences. Good judgment about scope, including the confidence to tell a customer "not yet." A track record of publishing or presenting on applied AI, such as LinkedIn posts, a blog, a YouTube channel, or conference talks. A large following isn't required, but we're looking for someone who already shares what they learn publicly. Nice To Have Contact center tech, CCaaS, or CX technology experience. Experience in a field CTO, office-of-the-CTO, or principal architect role at an AI, cloud, or data platform company. Depth in one or more industries such as travel and hospitality, financial services, telecommunications, or insurance. The actual salary may be different depending upon non-discriminatory factors such as qualifications, experience, and other factors permitted by law. ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. 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 Anti-Tamper - Subject Matter Expert (AT SME) Location: Beavercreek, OH (Hybrid Option) Eligibility: US Citizen Clearance: Secret clearance required. Ability to obtain Top Secret clearance. Verification: Successful Full Scope Background Check Required. Position: Principal Engineer / Senior Engineer / SME III / SME II / SME I Description: TECHFORGE Solutions, a TECHFORGE company, is looking for an experienced Anti-Tamper (AT) and Trusted/Secure Export Subject Matter Expert (SME) to join our team in the Dayton, OH office. You will take complete, end-to-end ownership of technical interactions with commercial clients, USG program offices, and weapon and sensor system manufacturers in technical interchange meetings and Program Protection reviews to achieve a technically acceptable Anti-Tamper implementation. You will lead the analysis of systems and export programs, conduct vulnerability analyses of system level implementations and architectures, as well as develop and review Program Protection Plans, Science and Technology Protection Plans, and Anti-Tamper plans and annexes to provide technical written feedback, evaluations, and guidance to USG programs and commercial clients. You will evaluate protection methodologies and devices used to prevent exploitation of US system technology alone or with a team of engineers. You will participate in the verification testing of anti-tamper protection treatments and implementations. You will produce test reports on protected systems of interest and develop/apply your skills in circumventing AT protection techniques to better harden customer systems. The ideal candidate must be self-motivated and explore alternatives for quickly prototyping to validate hypothetical architectures or solutions. They must be passionate about protecting customer systems from exploitation. Responsibilities: The AT SME will serve as the senior consultant working directly with the client's team of hardware and software subject matter experts (SME), the program Technical Lead, and the client Program Manager to support various project-specific research scope and deliverables providing value to our customers. You will also contribute to the growth of both our government customer and internal R&D capability to help advance Anti-Tamper and Trusted / Secure Export technologies. Analyze systems design documents and develop recommendations to improve the security of electro-mechanical systems and integrated electrical components within mechanical systems. Lead the analysis of systems and export programs, conduct vulnerability analyses of system level implementations and architectures. Develop and review Program Protection Plans, Science and Technology Protection Plans, and Anti-Tamper plans and annexes to provide technical written feedback, evaluations, and guidance to USG programs and commercial clients. Evaluate protection methodologies and devices used to prevent exploitation of US system technology alone or with a team of engineers. Participate in the verification testing of anti-tamper protection treatments and implementations. Produce test reports on protected systems of interest and apply your skills in circumventing AT protection techniques to better harden customer systems. Ensure designs meet security specifications, industry standards, and internal customer requirements. Analyze prototypes of electro-mechanical systems and conduct thorough security testing to ensure functionality, reliability, and performance. Identify areas for improvement and optimize designs based on test results. Work closely with electrical engineers and mechanical engineers to ensure smooth integration of security recommendations for electrical and mechanical components, ensuring compatibility and optimal performance. Provide support for troubleshooting and resolving technical issues that arise during the manufacturing or testing phase. Identify opportunities to improve product designs and manufacturing processes to improve systems security. Recommend and implement changes that enhance product security, reliability, efficiency, and performance. Prepare detailed engineering documentation, including schematics, wiring diagrams, specifications, and user manuals related to anti-tamper implementation. Create reports to communicate findings and design progress to management and clients. Collaborate with cross-functional teams, including production, quality assurance, and product management, to ensure the successful development and manufacturing of electro-mechanical systems security. Ensure that designs comply with relevant industry standards, codes, and safety regulations. Provide technical support and guidance to the production team during the assembly, testing, and installation of electro-mechanical systems. Offer training and troubleshooting assistance when needed. As a TECHFORGE team member, the AT SME will work alone or on a team within an AGILE system / product development life cycle, supporting activities which include requirements creation, sprint planning, and grooming, etc. to collaborate across time zones via MS Teams collaboration tools, and frequent video conferences. Some travel will be required to meet with the remote engineering and software development teams. Travel: The role will be hybrid with some remote work options available; but, will require frequent time in the office and secure environments with clients and team members in Beavercreek, OH, as well as some travel out of state as necessary for team & client meetings, and/or presentations. Requirements: All candidates must be U.S. Citizens. All candidates must pass a background check. Must have active (or recently inactive) Secret clearance to start. The ability to obtain a Top Secret security clearance is also required, if needed. Must be able to travel up to 10% (CONUS) as needed. Excellent oral and written communication skills. Ability to work in a remote, collaborative, team environment. Experience with remote collaboration tools (e.g., Teams, WebEx, Meet, Zoom, etc.). Perform other related duties as assigned. Required Skills: Must possesses the capability to organize plans and programs specifying the nature and sequence of actions to be accomplished in a specific project. Must possesses 3+ years of professional experience in Systems integration/systems level engineering experience with DOD weapons or sensor systems, including electronic design, analysis or system test or system integration. Familiar with electronic components found in modern systems, including Integrated Circuit, FPGAs and ASIC technologies. Knowledgeable of protection features and devices. Familiarity with DOD 5000 series, DOD 5200 series, Defense Acquisition policy, and Horizontal Protection of DoD Critical Program Information. Knowledgeable of system development processes and system level testing. Experience with Model-Based Systems Engineering (MBSE) tools and techniques. Experience recommending and implementing changes that enhance product security, reliability, efficiency, and performance. Experience identifying areas for improvement and optimization of designs based on test results. Experience engaging groups across the government microelectronics space and anti-tamper organizations to support technical roadmaps for technology trade space and selection. Willing to learn the associated tools for tasking, planning, researching and data routing as applied within the scope of the program. Experience supporting the development of Program Protection Plans, Science and Technology Protection Plans, and Anti-Tamper plans and annexes, and other project documentation. Excellent analytical, critical thinking and problem-solving skills. Excellent verbal communication skills, comfortable interacting with technical peers and the ability to work as part of a team required. Ability to communicate technical issues clearly and effectively and execute assignments with little supervision and actively participate in a collaborative team environment. Proficient technical writing skills and the ability to produce reports and presentations. Ability to generate and evaluate technical documents and reports. Ability to create technical briefings and materials and effectively present technical material to both technical and non-technical stakeholders. Willing to travel to CONUS and/or OCONUS work locations 2-4 times per year. Minimum Education: Bachelor's degree in Physics, Engineering Physics, Computer Science, Computer Engineering, Electro-Mechanical Engineering, Electrical Engineering, Mechanical Engineering, or similar field and at least 8 years of related experience; or 5 years of professional experience with a Masters, or 3 or more years professional experience with a PhD. Desired Skills: Knowledgeable of system development processes and system level testing a plus. Microelectronics/Embedded Systems security experience such as Defensive Cyber or Anti-Tamper. Experience in FPGA or ASIC development including requirements definition, design, simulation, implementation, tape out, and testing. Proficient in Hardware Description Languages (HDL) such as VHDL or Verilog and associated software tools. Proficient in embedded software development, debug . click apply for full job details

Job Description Job Description We are looking for an experienced AI Application Architect to lead the technical design and evolution of our AI-powered product suite. You will be the technical authority on how we build, scale, and secure AI-native applications - spanning agent orchestration, LLM infrastructure, data pipelines, and developer tooling. You'll work closely with engineering leads, product managers, and ML practitioners to translate ambitious AI capabilities into robust, production-grade systems. What You'll Do: Define architecture for AI-native applications including agentic systems, RAG pipelines, multi-model inference layers, and human-in-the-loop workflows Drive infrastructure decisions for scalable AI workloads: vector databases (Turbopuffer, pgvector, Milvus), workflow orchestration (Temporal, Airflow), and async compute patterns Design and govern the integration layer between LLMs (OpenAI, Anthropic, Gemini, open-source) and backend services, including prompt management, context window optimization, and cost governance Lead LLMOps and observability strategy - tracing (OpenTelemetry), evaluation pipelines, prompt versioning, drift detection, and integration with platforms like Langfuse or Arize Establish security and compliance posture for AI systems - SSRF/injection hardening, LLM guardrails, data residency, and supply chain security for model artifacts and dependencies Partner with product and research to evaluate emerging AI capabilities and determine when/how to adopt them (e.g., reasoning models, multimodal, fine-tuning, RLHF) Champion engineering standards - API design, schema governance, testing strategies, and architecture decision records (ADRs) Mentor senior engineers and establish guild-level technical communities around AI platform topics What We're Looking For: 10+ years of software engineering with 5+ years in a principal/staff or architect-level role Hands-on experience designing and shipping production LLM-powered applications (not just prototypes) Experience shipping complex, user-facing application platforms - particularly in SaaS, productivity tools, or enterprise software. Demonstrated ability to lead full-stack teams building rich web application experiences (React, TypeScript/Node.js, modern frontend architectures) with strong backend (Python) and API design sensibility Deep understanding of enterprise requirements: User Management, RBAC/ABAC permission models, audit logging, compliance frameworks, multi-tenant governance, and admin tooling. Experience building contextual or adaptive UX - applications that respond to user state, workflow context, or personalization signals. Strong grasp of cloud-native architecture (Kubernetes, Helm, container security, CI/CD) on AWS, GCP, or Azure Solid understanding of API security: OAuth2, CSRF, rate limiting, secrets management, and zero-trust principles applied to AI endpoints Preferred Experience: Experience with MCP (Model Context Protocol) or comparable tool-calling/plugin infrastructure Familiarity with workflow orchestration engines (Temporal, Prefect) for long-running AI tasks Exposure to LLM evaluation frameworks (automated judging, red-teaming, regression suites) Background in developer-facing products or internal AI platforms / AI coding tooling Understanding of supply chain security for ML models (artifact signing, registry enforcement, SBOM) Contributions to open-source AI tooling or published architectural writing Additional Information Base Pay Range: 233 870.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. For Los Angeles County (unincorporated) Candidates: Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

Job Description Job Description Radar Reinvented. Echodyne offers the world's first compact solid-state true beam-steering radar for a wide range of industries and applications. Our high-performance radars work in all weather and are designed for autonomous vehicles, uncrewed aircraft & drones, and security of borders, critical infrastructure, and smart cities. The company combines the patented technology of metamaterials with powerful software to create a radar sensor with unprecedented performance at commercial price points. Echodyne offers its radars to companies working in Automotive, Transportation, Critical Infrastructure Protection, Border Security, Smart Cities, Uncrewed Aircraft Systems (UAS), and Airspace Management including Urban Air Mobility (UTM). Echodyne is seeking a Principal State Estimation Engineer to join our fast-growing team. ROLE OVERVIEW In this role, you'll lead development of pose-estimation capabilities for Echodyne radars operating in GPS-denied environments. You'll architect and develop new on-radar systems that use radar and inertial sensor data to estimate the global position and motion of radars without reliance on external navigation systems. You'll make key algorithm and system-level tradeoffs and own efforts from early prototyping through production deployment. You'll also provide technical leadership on related state-estimation and sensor-fusion problems, such as target tracking. Your work will have an immediate real-world impact on our established and rapidly growing fleet of fielded radars, helping make them more robust and effective at protecting the infrastructure and people that rely on them in an evolving world. RESPONSIBILITIES Lead development of methods for estimating radar position, velocity, orientation, angular rate, and height above ground in GPS-denied environments using radar and IMU data, terrain maps, and other on-radar sensors and data. Apply techniques from robotics and autonomy, including SLAM, odometry, inertial navigation, localization, factor graphs, probabilistic state estimation, and machine learning - within the constraints of an embedded real-time system. Take these algorithms from research and prototyping through production implementation. Drive system-level impacts and coordinate with other teams on deployment. Work with radar, signal processing, embedded software, systems, and test teams to integrate capabilities into products. Analyze field data to characterize performance and identify failure modes to produce robust, production-grade solutions. REQUIRED SKILLS / EXPERIENCE Demonstrated ability to independently lead an open-ended technical problem. Experience developing state-estimation, localization, navigation, perception, or machine learning solutions for robotics, VR/AR headsets, autonomous vehicles, drones, aerospace, or similar platforms from prototype through production deployment. Experience working with real-world spatial sensor data (e.g. camera, lidar, radar, ultrasound, sonar). Experience with SLAM, Kalman filtering, Bayesian estimation, and factor graphs. Deep understanding of state-estimation theory, 3D geometry, coordinate transformations, rotations, and kinematics. Strong foundations in linear algebra, probability, statistics, and optimization. Strong software development skills in C++ and either Python or MATLAB. Strong verbal and written communication skills. DESIRED SKILLS / EXPERIENCE (Looking for one or more as a complement to the core skills) Experience with visual, lidar, or radar odometry; map- or terrain-relative localization, Maximum Likelihood Estimation. Experience with open-source C++ optimization libraries (GTSAM, Ceres). Software development processes and best practices. Real-time or embedded algorithm development. Understanding of traditional navigation sensors (IMUs, accelerometers, gyroscopes, magnetometers, GPS, etc.). Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.). PREFERRED QUALIFICATIONS MS with 7+ years or PhD with 5+ years of relevant experience in robotics, VR/AR headsets, aerospace, electrical engineering, computer science, applied mathematics, or a related field. Demonstrated technical leadership on complex, production-grade algorithm development efforts. Ability to handle export-controlled (ITAR, EAR) data. Echodyne's technology is export controlled by the U.S. Government and we must evaluate an applicant's eligibility to handle export-controlled information or obtain required Government authorizations. Therefore, we will ask you as part of the application process to identify whether you are a U.S. Citizen or green card holder, or have asylum/refugee status in the U.S. WHAT WE OFFER This is an exempt role. The expected annual salary range for this role is $164,594-$246,788 USD If your skills generally align but not perfectly, please apply anyway. There may be another role that's a great fit for you! We offer competitive compensation and benefits to our full-time, US-based employees, including: RSU (Restricted Stock Units) Generous Benefits: Fully-paid medical, dental, and vision insurance premiums for you Choice of PPO or HDHP/HSA Virtual Care - 98Point6 Employee Assistance Program Mental Health coverage through Springhealth & Talkspace (Premera) Travel Assistance Insurance Company Paid Life Insurance Company Paid Short & Long Term Disability Flexible PTO (exempt) / 15 days per year (non-exempt) 401(k) match Pet Insurance Prepaid Legal Program Commuter Benefits Paid Company Holidays All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or any other characteristic protected by law.

Job Description Job Description ABOUT US Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 1100 diverse member colleges & universities using the Common App's free online application. If you are an experienced Artificial Intelligence professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Principal AI & Machine Learning Engineer. RESPONSIBILITIES The Principal Artificial Intelligence (AI) & Machine Learning (ML) Engineer is the technical leader responsible for embedding artificial intelligence into enterprise workflows and analytic processes to drive measurable gains in productivity, insight generation, and decision support within the Data Analytics & Research (DAR) division. Highly regarded for exceptional performance and deep technical expertise, this role focuses on applied, production-ready AI/ML, driving groundbreaking initiatives that embed artificial intelligence into enterprise workflows Reporting to the Senior Director, Analytics Engineering, the Principal AI/ML Engineer partners closely with Data Engineering, Data Governance, and cross-functional business stakeholders to ensure that AI solutions are scalable, secure, compliant, and aligned with enterprise data strategy. This role operates as a senior individual contributor and technical authority, setting standards for AI development practice, mentoring teammates on applied AI techniques, and translating complex machine learning capabilities into enterprise-grade systems that deliver lasting organizational value. The Principal AI/ML Engineer is a recognized expert in the field, frequently sought out for technical guidance, mentorship, and thought leadership both within the organization and across the broader AI and higher education data community. Requirements QUALIFICATIONS This role requires: Candidates must live in the United States. Hybrid Work & Travel: Employees can live anywhere in the US or its territories, with the willingness and ability to travel for periodic in-person events-including semi-annual Common App retreats, department retreats, and strategic leadership sessions. Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related quantitative or technical field; or an equivalent combination of education and experience. 8-10 years of progressive experience in machine learning, AI engineering, or data science, with at least 3 years focused on applied AI and production ML systems. Demonstrated experience integrating LLMs and generative AI into enterprise analytic or operational workflows. Demonstrated experience working within enterprise data governance and compliance frameworks. Expertise in applied machine learning and AI, including supervised and unsupervised learning, natural language processing, and large language model integration (e.g., OpenAI, Anthropic, open-source LLMs via Hugging Face). Demonstrated experience designing and deploying production-grade AI/ML systems, including end-to-end ML pipelines covering training, evaluation, versioning, deployment, and monitoring. Proficiency in R and Python for machine learning and AI development; familiarity with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or equivalent. Experience building and operationalizing LLM-powered applications, including prompt engineering, retrieval-augmented generation (RAG), and tool/agent orchestration frameworks. Strong SQL skills and experience working with large-scale cloud data platforms (e.g., Databricks, Snowflake, BigQuery); ability to design AI-ready data pipelines within enterprise warehouse environments. Knowledge of AI governance, responsible AI principles, and compliance considerations for AI systems handling sensitive or personally identifiable data. Proven ability to serve as a senior technical individual contributor, setting standards, making architectural decisions, and mentoring peers without formal management authority. Strong interpersonal and communication skills, with the ability to translate complex AI/ML concepts into accessible language for non-technical stakeholders and executive audiences. Proven ability to manage multiple competing priorities and deliver high-quality AI solutions in a fast-paced, collaborative environment. The ideal candidate will possess: Master's or doctoral degree in Computer Science, Machine Learning, Data Science, or a related field. Relevant AI/ML or cloud certifications (e.g., Databricks Certified Machine Learning Professional, AWS Machine Learning Specialty, or equivalent). Experience working with Agile frameworks for cross-functional, product-minded collaboration. Experience with agentic AI frameworks. Familiarity with Databricks AI features, including MLflow, Model Serving, and Genie or semantic layer integrations. Experience in higher education, nonprofit, or mission-driven technology contexts. Advanced training in statistics, causal inference, or program evaluation methods. A passion for higher education is a plus. PAY RANGE $144,160 - $162,180 Benefits Common App is a virtual first environment. We value our employees' time and efforts. Our commitment to your success is enhanced by our competitive salary and an extensive benefits package including: Work-Life balance Virtual-first office Paid Time Off (PTO) Seven company-wide holidays Nine floating holidays Sick leave Monthly mental health day floating holidays prorated depending on start date Virtual-first support Choice of PC of MAC laptop May choose an external monitor, keyboard, mouse, and/or headset One-time office set-up stipend Monthly remote work stipend Monthly mobile stipend Financial security Market-based salaries Performance-based bonus 403(b) retirement plan 5% company contribution additional 5% company match 3-year vesting schedule Participation may begin immediately Health & wellness Choice of two health insurance plans Health Savings Account, depending on health plan selection Medical Flexible Savings Account, depending on health plan selection Vision insurance Dental insurance Insurance coverage begins on the date of hire Dependent Care Flexible Spending Account Maven virtual clinic for women's and family health Company provided life and ad&d insurance Opportunity to purchase additional life insurance for self, spouse, and dependents Company provided short and long-term disability insurance Career development Budgeted annual funds for professional development Growth opportunities within the company Additional perks Mutual of Omaha Employee Assistance Program Mutual of Omaha will preparation services Mutual of Omaha travel assistance Payroll dedication pet insurance through PinPaws 1Password family account We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture. HOW DO I APPLY To apply for this opportunity, send your resume and cover letter with salary expectations. PROTECTING YOUR PERSONAL INFORMATION: During the recruiting process, please note that Common App will never: Provide a job offer without an interview Ask for payment to process documents, purchase equipment or for any other reason Request banking or credit card information Direct you to third-party services to obtain visas or other documentation As we work alongside you through our recruitment process, please remain alert and never provide financial information or payment to anyone claiming to offer a job opportunity. If you believe you're a victim of a job scam, report it to the Federal Trade Commission (FTC) or your state attorney general. To learn more about job scams, read the FBI's public service announcement or visit the FTC site.

Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you an Principal AI/ML Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Principal AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: U.S. Citizenship 10+ years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 7 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. Works well independently as well as on a team. Strong communication skills. Key Skills: You will design, create, test, and productize AI/ML algorithms to solve business challenges. The AI/ML models you create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. Should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. Needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Need an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. You may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Location: Annapolis Junction, MD / Partial Telework (up to 16 hours per week) may be available for this position based on mission needs/available tasking at the discretion of leadership, after the individual has become fully acclimated to the duties and responsibilities of the position and has completed the necessary telework training. Salary Range: The salary range for this full-time position is $200,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. 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, or disability status. Powered by JazzHR cDeBOm5dlB

Job Description Job Description Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus on building, validating, deploying, and improving machine learning models , while also bringing principal-level judgment to problem definition, model design, stakeholder engagement, and production readiness. Hands-On Model Development Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support. Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation. Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness. Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features. Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries. Move quickly from data exploration to prototype to validated model to production-ready capability. Required Qualifications Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields. 5 years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration. 3 years of experience deploying, operationalizing, or supporting models in production or business-critical environments. Strong hands-on experience with Python and SQL. Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies. Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management. Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes. Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders. Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability. Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment. Scoring, Scorecards, and Transparent Models Production ML and MLOps Product and Rapid-Build Execution Generative AI and AI Automation Requirement Shaping and Stakeholder Partnership

Overview Join a team where innovation meets mission, our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Credence has an immediate opening for a B-2 Systems Engineer (WBZ)at the principal level to support the B-2 Division who is responsible for the modernization, test, production, fielding and sustainment of B-2 aircraft and related systems. The B-2 is a high demand, low density fleet that is 20+ years old, is undergoing numerous concurrent acquisitions to solve obsolescence issues, and delivers critical aerial denial/anti-access and nuclear capabilities at Tinker AFB, OK. Responsibilities include, but are not limited to the duties listed below: The B-2 Systems Engineer Principal shall support the institution of a collaborative process bridging warfighter (sponsor) identified capability needs (requirements) to planning for the acquisition of materiel solutions which satisfy the need. This support shall include researching program information, providing systems engineering insight, conducting analyses, and briefing preparation. Support interfaces and processes with development planning, technology, intelligence, acquisition, sustainment, and user communities. Independently apply knowledge and experience to the scope of enterprise activities which spans requirements/acquisition and sustainment and includes understanding doctrine, assisting in identifying and defining requirements, developing horizontally integrated acquisition, sustainment, and investment strategies, integration of technologies, integration of intelligence, and development of sustainment strategies. Capability requirements and option sets will be architecture-based to ensure the necessary interoperability and appropriate linkages to other capabilities. The integrated option sets developed may cut across multiple platforms, programs, and phases as well as across multiple enterprises. Support development of strategies for crosscutting capability requirements. The Contractor shall assist with initiating, writing, reviewing, developing and implementing documentation including but not limited to TEMPs, SEPs, RFPs, SOOs, test plans, LCMP, Pre-Milestone A and Pre-Milestone B documentation as appropriate. Provide technical support to Systems Engineering Technical Reviews (SETR), including but not limited to IBR, SRR, SFR, PDR, CDR, FCA, SVR, PCA and TRRs. Support includes rigorous technical review of SETR deliverables, assessment of design maturity against satisfying SETR entrance/exit criteria, and technical recommendations to the program manager, lead engineer and chief engineer. Prepare Airworthiness Plans, Certification Basis, Compliance Reports, Military Flight Releases, and Military Type Certificates and brief Airworthiness documents through board reviews and to the Delegated Technical Authority/Technical Airworthiness Authority. Develop action plans to resolve Deficiency Reports (DRs) and brief action plans at review boards and at the MIPRB to the Chief Engineer. Develop action plans to resolve system safety risks, develop Safety Action Records (SARs), develop System Safety Risk Assessments (SSRAs) and brief action plans at review boards, System Safety Working Group (SSWG), System Safety Group (SSG) and to the Chief Engineer and System Program Manager. Develop Operational Safety, Suitability and Effectiveness (OSS&E) documents and brief OSS&E documents at review boards and to the Chief Engineer and System Program Manager. Prepare Permanent, T1, and T2 modification packages and brief through board reviews and up to the Chief Engineer and System Program Manager. Provide technical support to software reviews, including but not limited to Integrated Functional Capability (IFC) Readiness Assessments (IRAs), IFC TRRs, IFC Demos, and IFC Fielding Recommendations. Support the identification, assessment, and analysis of the future capability solution sets required to support capability requirements. These activities will be critical subject areas during reviews including but not limited to program reviews and IBRs. Assist in reviewing systems engineering initiatives brought about by policy changes to buying commercial items (such as acquisition of non-destructive inspection, commercial-off-the-shelf items, and FAA-certified items) and commercial practices (e.g., performance-based business environment). Assist in managing capability and systems engineering studies that involve multiple divisions. Assist in communicating system engineering solutions, risk analysis, and future solutions within the AFLCMC to include programs as well as MAJCOMs, other enterprises, and the Air Staff. Assist in transition of programs into and the termination of programs out of the B-2 Division for use in the field enhancing warfighter capabilities. Planning across family of systems and system of systems especially in the development of capability manager strategies (e.g. spectrum battle management and Joint All Domain Command and Control systems). Support the development, improvement, and administration technology processes to include applied technology councils, small business innovative research, and/or other initiatives to identify, assess, and submit proposals to the technology community to pursue further. Assist with reviewing planning documents (e.g., Mission Need Statement, Operational Requirements Document, ICD, CDD, or CPD) for realistic industrial base execution. The Contractor shall assist in promoting the use of MS&A throughout the acquisition life cycle process and foster the development and maintenance of common use M&SA tools useful to the Government and industry. Shall assist in integration of intelligence information and infrastructure to ensure cross-enterprise capabilities planning and system acquisition. Provide a wide range of recommended solution sets for capabilities integration planning. The Contractor shall organize large and small group briefings for discussions gaining cross Divisional engineering expertise. Requirements Must have a Top-Secret clearance with the ability to be read onto SCI. ABET accredited Master's or Doctoral Degree in a related field and a minimum of twenty (20) years of experience in the respective technical/professional discipline being performed, at least twelve (12) years of which must be in the DoW/DoD; OR ABET accredited Bachelor's Degree in a related field and a minimum of twenty-five (25) years of experience in the respective technical/professional discipline being performed, at least fifteen (15) years of which must be in the DoW/DoD; Personnel fulfilling the identified requirement positions shall possess a current collateral Secret or Top-Secret clearance as specified in the DD Form 254 for this task order, the LOE Matrix, and the PWS for WBN, WBD, WAO, WAX, WAV, WBZ, OZJ, AF/IO, and JPO support unless otherwise stated. Regardless of clearance level, personnel shall maintain their required clearance throughout the contract period of performance to provide support for multiple tasks and meetings at various classification levels. The Government will assist the candidate with attaining access to classified facilities as required. To fill engineering positions, it is required that the Contractor have successfully completed an undergraduate degree with a major in engineering from a college or university with an Accreditation Board of Engineering and Technology (ABET) accredited engineering program(s) for the degree requirements of the position (e.g. electrical, mechanical, aerospace). Degrees in engineering technology are not considered to be qualifying for these positions. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

AI Engineer 5 AI Foundations, LLM Core and Agentic AI) Overview: 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7 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 complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details