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Senior AI Engineer 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Come make the cloud more secure for everyone! Amazon AWS PrivateLink offers an easy and intuitive way for applications to securely integrate with remote services and data sources. As a Software Development Manager on the AWS PrivateLink team, you will help simplify private access to any resources, making it "just work" for our customers. We are scaling our control plane for the next generation of growth, and we need a leader who can drive that vision forward. You will own the roadmap, lead a high-performing engineering team, and deliver solutions that impact millions of AWS customers worldwide. This is a unique opportunity to shape the future of private connectivity at Amazon scale. Key job responsibilities - Lead a group of talented engineers in bringing the AWS PrivateLink control plane to the next generation of scale - Drive impact for all of AWS in an exciting problem space that is just getting started - Deliver on business objectives, prioritize work, and influence partner teams to achieve shared goals - Establish goals and focus attention on the most important inputs to drive desired business outcomes - Grow the team by hiring, investing in people, and developing talent from within - Enhance functionality, increase scale, and transform existing systems to meet customer demands - Apply deep knowledge of software development and architecture from user experience through to the data layer at Amazon scale utilizing AWS services - Mentor and develop some of the best and brightest engineers to help them learn and grow A day in the life As an SDM on AWS PrivateLink, you will partner with engineering leaders, product managers, and principal engineers to define technical direction and deliver features that impact millions of customers. Your days will include sprint planning, design reviews, mentoring engineers, and removing blockers. You will collaborate with partner teams across AWS Networking to align on shared goals. You will balance operational excellence with innovation, ensuring your team delivers reliably while exploring new solutions to complex distributed systems challenges at scale. About the team AWS PrivateLink & VPC Lattice fosters an inclusive culture where diverse perspectives drive innovation. We are intentional about attracting, developing, and retaining talent from all backgrounds. Team members participate in Amazon's affinity groups, which connect employees across businesses and locations worldwide-including groups supporting various communities, families, veterans, and people with disabilities. We believe diverse teams build better products, and we are committed to creating an environment where everyone can do their best work. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 184 200.00 USD annually

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. The AWS Hardware Engineering team creates server designs for Amazon's innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The AWS Firmware team drives system innovation in the servers used by all of Amazon Web Services, including EC2, S3, CloudFront, etc. Our engineers solve the hardest problems that fuse software, hardware, and the cloud. We take big bets on new concepts, enabling AWS services to continue to revolutionize the industry. We are looking for an Embedded Software Development engineer to build and own the server related firmware. As an embedded software development engineer in this team, you will work with a team of world-class software developers who thrive on creating innovative, scalable solutions for real-world data center infrastructure problems. You will be part of development efforts to build, validate, and support firmware in diverse technology domains from embedded software to large-scale distributed software systems, using proprietary and open source technologies. Why it matters Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it You will work with engineers across the company to build software for the next-generation platform. You will have a direct impact on our bottom line and the ability to deliver improvements for our developers. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Server Baseboard Management Controller (BMC) Software. Scripting language development. Data Center Operation Support. Linux driver development. A day in the life As an experience Senior Software Development engineer, you will build and own the server related firmware. As a Senior Engineer in this team, you will work with a team of world-class software developers who thrive on creating innovative, scalable solutions for real-world data center infrastructure problems. You will be part of development efforts to build, validate, and support firmware in diverse technology domains from embedded software to large-scale distributed software systems, using proprietary and open source technologies. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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 - Experience in embedded development in C/C++ - Knowledge of system performance, memory management, and parallel computing principles - Bachelor's degree or equivalent PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in Computer Science, Engineering, Mathematics, or a related field - 3+ years of embedded firmware development experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually

AWS Clean Rooms helps companies and their partners more easily and securely analyze and collaborate on their collective datasets-all without sharing or copying one another's underlying data. AWS Clean Rooms' provides a broad set of data controls that help protect sensitive data, including query controls, query output restrictions, query logging, cryptographic computing tools, and built-in differential privacy techniques. This secure foundation enables businesses to unlock deeper customer understanding, enhance segmentation accuracy, and measure cross-channel campaign effectiveness. Key job responsibilities - Recruit and develop top talent to achieve the team's objectives. - Establish and steer the team's long-term vision. - Manage resource allocation to meet both business objectives and career development targets. - Participate in strategic planning to achieve technical and business goals. - Collaborate closely with engineers to design and implement optimal technical designs and strategies. - Ensure project timelines are met, prioritizing tasks and managing team workload effectively. - Foster a culture of innovation and continuous improvement within the team. - Maintain close collaboration with cross-functional teams to align software development with overall company goals. - Monitor and ensure adherence to quality standards and best practices in software development. - Provide regular performance feedback and career development guidance to team members. About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred 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 AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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, mentorship 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 184 200.00 USD annually

Senior Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) 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. In this role, you will: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang 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 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 Sr. Mgr, AI Engineering McLean, VA: $229,900 - $262,400 for Sr. Mgr, AI Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Francisco, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Jose, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations) 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Enterprise Performance Management Senior Consultant Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work - designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, every deployment that compounds on the last. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. What You'll Architect This role primary responsibility will be to collaborate with other Keyrus Consultants to leverage your deep expertise in Anaplan to design, implement, and optimize sophisticated planning models and solutions. This role offers a dynamic and collaborative environment for individuals with a passion for solving complex business challenges. Perform user requirements analysis, facilitate business process design and business modeling sessions with the client's subject matter experts, identify gaps, issues, and reporting risk areas as part of an implementation team. - Translate business processes and requirements into technical requirements & design documentation, solution design, and system configurations to support the client's desired to-be state - Configure and deploy Anaplan solutions, ensuring that they meet client needs and are delivered on time and within budget. - Maintain client focus and demonstrate ownership to drive consensus and project-related decisions - Provide training and support to end-users, empowering them to navigate and effectively utilize Anaplan for planning and decision-making - Create comprehensive documentation of Anaplan models and configurations, ensuring knowledge transfer to clients and internal teams - Deliver demonstrations to audiences ranging from executives to business users - Stay up-to-date with Anaplan platform updates, best practices, and emerging trends in business planning to provide thought leadership to clients and the team - Communicate well, both written and orally, at all levels - managerial, technical, and user - Understand priorities, scope, timeline, goals, and key milestones. Who You Are - You are a strong analytical thinker with excellent problem-solving skills and enjoy tackling complex business challenges. - You communicate effectively, both verbally and in writing, and build strong relationships with clients and teammates. - You are highly organized, able to prioritize competing responsibilities, and manage your time effectively in a fast-paced environment. - You are adaptable and thrive in dynamic environments where project requirements and client needs evolve. - You are excited to work with global teams and collaborate with clients from around the world on a project-by-project basis. - You are comfortable working independently and managing small engagements or leading workstreams within larger projects. What You Bring - You have a background in business, finance, multidimensional modeling, data analytics, business intelligence, or consulting. - You have 2-3 years of experience implementing Performance Management solutions using Anaplan. - You have proven experience designing, implementing, and optimizing Anaplan models. - You have technical knowledge of software implementation activities, including field-to-field data mapping, data conversion validation, system and security configuration, user acceptance testing (UAT), and system integration testing (SIT). - You have experience working on project teams using structured methodologies to gather business requirements, document business processes, support data conversions, and design system interfaces. - You hold a bachelor's degree in Finance, Economics, Information Management and Technology, Engineering, or a related field, or have equivalent professional experience. Nice-to-haves - You have experience supporting business development activities, such as delivering product demonstrations or solution presentations to prospective clients. - You have experience implementing Performance Management solutions using technologies such as IBM TM1/Planning Analytics (PA), Oracle Hyperion, SAP Analytics Cloud (SAC), Tagetik, Board, or OneStream. - You have previous experience supporting business functions such as Finance, Sales, or Operations. - You have advanced Microsoft Excel skills. - You have experience working within the Software Development Life Cycle (SDLC), including Agile methodologies. - You have experience with Consolidation and Financial Reporting, Sales Performance Management, Supply Chain Planning, Management Reporting, or Enterprise Operational Planning solutions. - You have experience with leading ETL and data integration tools, such as Informatica, SnapLogic, or Oracle Data Integrator (ODI). - You have a working knowledge of Relational Database Management Systems (RDBMS), including SQL, ANSI SQL, MySQL, Oracle PL/SQL, AWS PartiQL, or SAS. - You hold a master's degree in Finance, Economics, Business Administration, or a related field - You are fluent in English and either Spanish or Portuguese. What We Stand For - Collective Intelligence - Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges. - Reliability - The ability to deliver complex projects with rigour is one of the pillars of our client relationship. - Pragmatism - Prioritising concrete impact and measurable value over abstract technological discourse. - Entrepreneurial Spirit - Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation. Our Hiring Process We keep our process straightforward and respect your time. Here is what to expect: • A conversation with one of our Talent team - to discuss your background, expectations, and what Keyrus can offer you in return. •Stage 2 - a technical interview with the hiring team: covering your expertise and approach to a real challenge. Approx. 40 minutes. •Stage 3 - you'll work on a technical test and present it to other members of the EPM team •Stage 4 - a final conversation with senior leadership around values, culture, and your longer-term ambitions. ABOUT KEYRUS At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence . Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence . Powered by our proprietary Human Orchestrated Model (HOM), we architect reliable: Intelligence Foundations , Human in Command governance, and Performance Steering , To create intelligent environments where technology amplifies human capabilities and performance compounds over time. With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations. AI does not transform businesses. Architected intelligence does. Keyrus is listed on Euronext Growth Paris. (ALKEY - ISIN Code: FR - Reuters: KEYR.PA - Bloomberg: ALKEY: FP). For more information:

Job Description Job Description Aerospace Business Development Manager Job Title: Aerospace Business Development Manager Reports To: Senior Vice President - Commercial Location: Mooresville, NC Travel: At least 50% domestic and international travel required Salary: Competitive Salary + Performance Bonus Overview SHD Composites is a global leader in advanced composite materials, supplying innovative prepreg and composite solutions to the aerospace, defense, automotive, industrial, and renewable energy sectors. As we continue to expand our aerospace presence, we are seeking a dynamic and commercially driven Aerospace Business Development Manager to identify new growth opportunities, develop strategic customer relationships, and drive revenue growth across commercial aviation, defense, space, and emerging aerospace markets. This position is ideal for a motivated professional who combines deep aerospace industry knowledge with a proven track record of developing new business, managing complex technical sales cycles, and building long-term customer partnerships. Key Responsibilities Business Development & Revenue Growth Identify, develop, and secure new business opportunities within commercial aerospace, defense, space, and emerging aviation sectors. Develop and execute strategic sales plans to achieve revenue targets and market expansion objectives. Manage the full sales lifecycle, including lead generation, qualification, proposal development, contract negotiation, and business closure. Build and maintain a robust sales pipeline through prospecting, networking, and industry engagement. Target and engage key decision-makers within aerospace OEMs, Tier 1 suppliers, MRO organizations, and emerging aerospace companies. Collaborate closely with regional sales team. Customer & Market Engagement Develop and maintain strong relationships with customers, industry stakeholders, and strategic partners. Serve as the primary commercial contact for aerospace accounts and growth opportunities. Monitor industry trends, customer needs, and market developments to identify new applications for advanced composite materials. Represent SHD Composites at trade shows, technical conferences, customer meetings, and industry events. Promote SHD's capabilities and value proposition within the aerospace and defense sectors. Technical Sales Support Collaborate closely with Engineering, R&D, Manufacturing, Quality, and Operations teams to align customer requirements with SHD's product capabilities. Support customers through technical discussions, material selection, product demonstrations, and proposal development. Promote advanced composite solutions including prepregs, carbon fiber systems, structural composites, tooling materials, and engineered solutions. Assist with qualification programs and customer onboarding activities. Define future product requirements for sector engagement Strategic Planning & Market Development Analyze market trends, competitive activity, and emerging technologies to support business growth strategies. Identify opportunities in next-generation aerospace applications, including sustainable aviation, advanced air mobility, eVTOL, UAVs, electrification, and space technologies. Develop long-term account strategies and market penetration plans. Provide regular sales forecasts, pipeline updates, and market intelligence to senior leadership. Contract & Partnership Management Lead commercial negotiations involving pricing, contracts, supply agreements, and long-term customer partnerships. Support strategic partnership initiatives, joint development programs, and collaborative projects. Ensure customer requirements are effectively communicated throughout the organization. Maintain awareness of aerospace quality, regulatory, and customer requirements including AS9100 and NADCAP standards. Qualifications Required Minimum 5 years of experience in business development, sales, account management, or commercial leadership within the aerospace industry. Demonstrated success in generating new business and achieving revenue growth targets. Strong understanding of aerospace supply chains, OEMs, Tier 1 suppliers, and MRO organizations. Knowledge of advanced composite materials, including carbon fiber, prepregs, resin systems, and structural composites. Experience managing complex technical sales processes involving multiple stakeholders. Excellent communication, presentation, negotiation, and relationship-building skills. Ability to travel extensively to customer locations, trade shows, and industry events. Preferred Bachelor's degree in Engineering, Aerospace Engineering, Materials Science, Business, or a related field. Experience working directly with aerospace OEMs such as Boeing, Airbus, Lockheed Martin, Northrop Grumman, Bell, Gulfstream, Bombardier, or major Tier 1 suppliers. Understanding of aerospace certification requirements and quality systems. Knowledge of manufacturing processes including autoclave curing, RTM, filament winding, compression molding, automated fiber placement, or additive manufacturing. Experience within composite materials, advanced manufacturing, aerospace materials, or engineered products industries. Competencies Strategic Thinking Business Acumen Technical Sales Expertise Customer Relationship Management Negotiation & Influencing Skills Market Analysis Communication & Presentation Skills Cross-Functional Collaboration Results Orientation Problem Solving Planning Use of Microsoft Office platform software CRM usage Why Join SHD Composites? At SHD Composites, you will have the opportunity to work with industry-leading composite technologies that support some of the world's most advanced aerospace programs. We offer a collaborative environment, opportunities for professional growth, competitive compensation, and the chance to make a direct impact on the future of aerospace innovation. SHD Composites is an Equal Opportunity Employer and values diversity in the workplace. Compensation details: 00 Yearly Salary PI47aa51089a45-5358

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. Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer Success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations. We are seeking a Senior Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian's platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You'll brainstorm AI use cases and implement Appian's AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. To be successful in this role, you need: Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications: 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% or less annually to support customer engagement 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 $100,000-$200,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description We are seeking an experienced .NET Developer with expertise in Blazor and C# to join our dynamic team. If you have a passion for innovation and a desire to contribute to unique and challenging projects, we would like to hear from you. Job Location: HYBRID. Tampa, Florida - Minimum 3 days in Office. Responsibilities: Design, develop, and maintain scalable web applications using .NET, Blazor, and C#. Collaborate with cross-functional teams to translate functional requirements into technical specifications. Lead development efforts in creating well-structured Blazor components and integrating them with various back-end services. Conduct performance tuning and code reviews to ensure high-quality and efficient code. Mentor junior developers, providing technical guidance and promoting best practices. Contribute to architectural decisions and actively participate in Agile development cycles. Collaborate with QA teams to ensure robust testing and seamless integration. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Minimum 5+ years of experience working with .NET and C# and Visual Studio. Strong hands-on experience with Blazor is a must. Proficient in SQL Server and T-SQL. Familiarity with modern front-end technologies such as JavaScript, HTML5, and CSS3. Strong understanding of software development life cycles, methodologies, and best practices. Experience with Git version control system. Excellent problem-solving skills, communication, and team collaboration abilities. Strong work ethic. Preferred Qualifications: Experience with cloud platforms such as Azure. Experience with SQL Server Integration Services. Experience with SQL Server Agent Jobs and Windows Task Manager. Experience working with labor management and time tracking software. Experience working with PointClickCare or MatrixCare. Interest or experience in AI/Machine Learning, proficient with Claude Code. Healthcare experience BENEFITS Our commitment to your success is enhanced by our competitive compensation and extensive benefits package including paid time off, medical, dental, vision and 401k benefits and future growth opportunities within the company. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture. ABOUT BLUE PURPOSE. Our Vision is to deliver the most powerful tool ever seen in the Senior Care industry. At Blue Purpose, our mission is clear: to empower senior care partners through our innovative software solutions. We're more than just a software development company; we're a passionate team with a purpose. Our focus on development, strategy, and design enables us to leverage technology to create transformative experiences in Senior Care that enhance the lives of our partners and their residents. Company Description ABOUT BLUE PURPOSE. Blue Purpose is transforming the long-term care industry through technology, data, and AI. Our flagship products, unifies operations, compliance, clinical, and financial insights into one intelligent platform that empowers caregivers to deliver better care and improve outcomes. Company Description ABOUT BLUE PURPOSE. Blue Purpose is transforming the long-term care industry through technology, data, and AI. Our flagship products, unifies operations, compliance, clinical, and financial insights into one intelligent platform that empowers caregivers to deliver better care and improve outcomes.

Do you like to apply deep hardware engineering expertise to deliver simple, sustainable, and scalable solutions for large networks? Would you like to play a key role in driving the stability and efficiency of next-generation network infrastructure, starting from the silicon up? AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We are looking for a Sr. Cloud Hardware Development Engineer (CHDE) with mechanical engineering expertise to join our Network Product Development (NPD) team. In this role, you will enable the components that form the backbone of AWS network interconnect. You will perform high-quality design, development, validation, and sustaining engineering of component, modules, and systems for high-speed applications, working closely with design teams, manufacturing partners, and cross-functional stakeholders to deliver robust solutions at scale. Key job responsibilities Cloud Hardware Development Engineers (CHDE) with a mechanical engineering focus perform high quality mechanical design, thermal management, packaging, and design for manufacturing (DFM) of optical modules and systems for AWS networking. They work closely with design teams, manufacturing partners, and cross-functional stakeholders to deliver robust, manufacturable, and thermally optimized optical module solutions. - Collaborate with vendors/manufacturers to evaluate new mechanical and thermal design approaches, materials, and assembly processes for optical modules. - Develop and execute mechanical and thermal designs for optical modules and systems, including structural analysis, tolerance stack-up, and enclosure/housing design. - Perform thermal simulation and validation to ensure optical modules meet thermal performance requirements across all operating conditions. - Develop and automate test plans for structural verification, thermal characterization, mechanical reliability, and environmental qualification of optical modules. - Collaborate with vendors/manufacturers in defining and developing mechanical and thermal test plans to validate designs through prototyping and production. - Drive design for manufacturing (DFM) initiatives, working with operations teams to improve manufacturing yields, optimize assembly processes, and reduce cost. - Work with operations teams in identifying quality issues, improving manufacturing yields, and optimizing RMA processes for optical module hardware. A day in the life On an everyday basis as part of our team, you have the unique opportunity to understand the growing AWS network and our internal customers' requirement on interconnect solutions and their components. You'll work backwards to devise hardware solutions by influencing the broad industry and/or to develop tools with sister teams to maintain a highly available network that delights AWS customers. You design and implement processes and mechanisms that both help the team to deliver business impact to the organization in a systemic way, while also helping to raise the bar on our operational excellence. Operating at the scale we do, there is no blueprint for how to do what we do, which encourages our engineers to identify and develop simple solutions to complex problems. We encourage durable solutions that look around corners while taking into consideration our customer needs from a cost, performance, and reliability perspective. About the team Within AWS Networking the NPD (Network Product Development) organization is responsible for, designing the hardware, building the software, and owning the interconnects for the routers that power the global AWS network. Beyond product delivery we actively manage the fleet or routers in a network that grows by 70% annually. This means tracking key business and operational metrics to ensure that we operate smoothly and minimize or eliminate customer impact due to device related issues for a transparent AWS customer experience. Working at AWS in the Core Networking Team - Meet Matt, VP, Core Networking Meet Kensie, Network Development Engineer AWS Diverse Experiences AWS 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 AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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, mentorship 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. EEO/Accommodations AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please QUALIFICATIONS- Bachelor's degree in Mechanical Engineering, Physics, Electrical/Electronic Engineering, or equivalent work experience. - 8+ years of work experience in mechanical design for hardware systems and components. - 8+ years of experience with thermal simulation and test validation. - 4+ years of experience developing and automating validation testbeds for thermal and mechanical characterization. - 4+ years of data analysis and presenting data-driven deep dives on thermal and mechanical design. - 2+ years of experience working on manufacturing processes and qualifications. - 1+ years of professional development experience with Python or a similar scripting language for automation scripting. PREFERRED QUALIFICATIONS- PhD in mechanical engineering, electrical engineering, material science, physics or equivalent - In-depth expertise in optical module mechanical and thermal design and development. - Expertise in debugging and troubleshooting hardware. - Experience with thermal simulation tools (e.g., ANSYS Icepak, FloTHERM, COMSOL) and mechanical CAD tools (e.g., SolidWorks, Creo). - Experience working with ODM and CM suppliers of optical modules. - Experience in the product development lifecycle. - Ability to innovate or invent hardware solutions to business problems. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers . click apply for full job details

Amazon Robotics (AR) is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfilment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, high-degree-of-freedom movement, and state-of-the-art AI. We collaborate with teams across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) organization enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. GO-AI's Technology & Development team is a cross-functional organization of Software Development Engineers, Technical Program Managers, Program Managers, and Business Intelligence Engineers responsible for GO-AI's technical strategy, platform capabilities, and delivery. As a Senior Technical Program Manager on GO-AI's Technology & Development team, you will partner with product, science, software engineering, data engineering, operations, and other Amazon Robotics teams to accelerate the evaluation, deployment, and scaling of AI solutions across Amazon Robotics. You will own complex, cross-functional programs spanning solution definition, experimentation, operational readiness, deployment, and continuous improvement. Success in this role requires balancing technical depth with strong program ownership. This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale. Key job responsibilities • Partner with other Amazon teams to understand AI automation-based use cases, evaluate partnership opportunities, and define GO-AI's technical and operational plans to support them. • Build trusted partnerships with business and technical teams, serving as the primary GO-AI partner throughout the program lifecycle. • Design and lead human-in-the-loop solutions and AI workflows that bridge science, engineering, and operations. • Partner with GO-AI Software, Science, Data, and Business Intelligence Engineering teams to identify capability gaps, prioritize features, and influence long-term platform roadmaps. • Define success metrics, monitor program health, and use data to drive decisions, identify risks, and evaluate trade-offs. • Drive senior leadership reviews through clear written and verbal communication of program strategy, risks, trade-offs, and recommendations. • Drive process simplification by eliminating inefficiencies and building scalable mechanisms. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! About the team Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. BASIC QUALIFICATIONS- 6+ years of technical product or program management experience - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Bachelor's degree in engineering, computer science or equivalent - Experience defining technical requirements and partnering with engineering teams to deliver scalable technical solutions. - Demonstrated ability to drive clarity and define program structure in ambiguous domains. - Excellent verbal and written communication skills. PREFERRED QUALIFICATIONS- Experience with computer vision, human-in-the-loop systems, or model evaluation and deployment. - Experience influencing product or platform roadmaps across multiple engineering teams. - Track record of coaching and mentoring other Technical Program Managers. - Familiarity with robotics, fulfilment operations or large-scale annotation/labelling workflows. - Experience working with applied science teams and foundation model technologies. 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, MA, Boston - 148 200.00 USD annually USA, MA, North Reading - 148 200.00 USD annually USA, MA, Westboro - 148 200.00 USD annually

Job Description Job Description Veregy is an award-winning NAESCO-Accredited decarbonization company focusing on accelerating and simplifying Energy Transition. We provide turnkey engineering and construction services designed to reduce our clients' energy and operating costs through the implementation of energy efficiency and infrastructure upgrades, smart building technology, fleet EV infrastructure, clean energy generation, and sustainability. Do you want to be part of a TEAM who delivers Eco-Friendly Environments that Transform Lives? Then you are in the right place start the application process today! Summary of Position Functions The Sr. Controls Systems Engineer is a central technical resource who guides all phases of industrial control system projects including design, programming, commissioning, and post-project close out. The individual will be responsible for the timely delivery of energy optimization services for industrial automation systems, project implementation of digital service contracts, and management of associated software services. The position includes oversight of engineering support, creating and maintaining project schedules, direct customer interaction, periodic owner training sessions, progress reporting, contract management, and project budget management. This position can be fully remote. Essential Position Functions Designs, programs, monitors, maintains, and optimizes industrial automation systems and graphical user interfaces. Participates in project development and cost estimation for various digital service offerings. Assists with and manages industrial automation or digital service focused projects by leading progress meetings, supervising subcontractors, ordering material, and managing budgets. Responds to and rectifies customer support requests in a timely manner. Creates and manages project implementation schedules to deliver projects on time. Communicates with customers to deliver a customer driven, quality product. Communicates with internal project managers (i.e. other Veregy departments) and verify project expectations and execution standards are met. Creates internal and external facing technical documentation. Assigns and manages project engineering tasks. Performs QA/QC tasks for project software and documentation deliverables. Manages project budgets and report progress. Develops close-out or system documentation for customer. Note: The statements contained herein describe the essential functions of this position but should not be an all-inclusive listing of work requirements. Individuals may perform other duties as assigned including work in other areas to cover absences or relief to equalize peak work periods or otherwise balance the workload. Non-Essential Position Functions Other duties as assigned. Supervisory Responsibilities None. Education and Qualifications To perform this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's of Science degree in engineering; or eight plus years related experience and/or training; or an equivalent combination of education and experience. Knowledge, Skills, and Abilities Knowledge of low to medium voltage electrical, control system, and instrumentation research and specification. Ability create and validate various industrial network topology specifications and designs. Ability to integrate data from various industrial control systems and communications protocols to standard, consistent format. Knowledge and experience in project leadership or management. Ability to be a detail-oriented multi-tasker. Excellent written, verbal, and diplomatic communication skills. Ability to collaborate with other engineers or clients to methodically solve complex problems. Ability to innovate with new processes and standards. Ability to be a technical resource and mentor. Knowledge in Microsoft Office products. Certificates, Licenses, Registrations N/A. Travel Requirement Some travel, typically less than 40%. Benefits Competitive Compensation. Paid Holidays, Paid Sick Leave, and Paid Time Off. Competitive Medical, Dental and Vision Plans. 401k Retirement Plan with Matching Employer Contributions (%). Employer Sponsored Life Insurance and AD&D Insurance. Employer Paid Short- and Long-Term Disability Insurance. Continued Education and Trade Certification Sponsorship (Specific Positions). Company Branded Trucks Provided (Specific Positions). Applicants must be currently authorized to work in the United States on a full-time basis. Veregy is an EOE Employer. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Equal Employment Opportunity has been, and will continue to be, a fundamental principle at Veregy, where employment is based upon capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, veteran status, genetic history, sexual orientation, or any other protected characteristic as established by law.

Job Description Job Description Veregy is an award-winning NAESCO-Accredited decarbonization company focusing on accelerating and simplifying Energy Transition. We provide turnkey engineering and construction services designed to reduce our clients' energy and operating costs through the implementation of energy efficiency and infrastructure upgrades, smart building technology, fleet EV infrastructure, clean energy generation, and sustainability. Do you want to be part of a TEAM who delivers Eco-Friendly Environments that Transform Lives? Then you are in the right place start the application process today! Summary of Position Functions The Sr. Controls Systems Engineer is a central technical resource who guides all phases of industrial control system projects including design, programming, commissioning, and post-project close out. The individual will be responsible for the timely delivery of energy optimization services for industrial automation systems, project implementation of digital service contracts, and management of associated software services. The position includes oversight of engineering support, creating and maintaining project schedules, direct customer interaction, periodic owner training sessions, progress reporting, contract management, and project budget management. This position can be fully remote. Essential Position Functions Designs, programs, monitors, maintains, and optimizes industrial automation systems and graphical user interfaces. Participates in project development and cost estimation for various digital service offerings. Assists with and manages industrial automation or digital service focused projects by leading progress meetings, supervising subcontractors, ordering material, and managing budgets. Responds to and rectifies customer support requests in a timely manner. Creates and manages project implementation schedules to deliver projects on time. Communicates with customers to deliver a customer driven, quality product. Communicates with internal project managers (i.e. other Veregy departments) and verify project expectations and execution standards are met. Creates internal and external facing technical documentation. Assigns and manages project engineering tasks. Performs QA/QC tasks for project software and documentation deliverables. Manages project budgets and report progress. Develops close-out or system documentation for customer. Note: The statements contained herein describe the essential functions of this position but should not be an all-inclusive listing of work requirements. Individuals may perform other duties as assigned including work in other areas to cover absences or relief to equalize peak work periods or otherwise balance the workload. Non-Essential Position Functions Other duties as assigned. Supervisory Responsibilities None. Education and Qualifications To perform this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's of Science degree in engineering; or eight plus years related experience and/or training; or an equivalent combination of education and experience. Knowledge, Skills, and Abilities Knowledge of low to medium voltage electrical, control system, and instrumentation research and specification. Ability create and validate various industrial network topology specifications and designs. Ability to integrate data from various industrial control systems and communications protocols to standard, consistent format. Knowledge and experience in project leadership or management. Ability to be a detail-oriented multi-tasker. Excellent written, verbal, and diplomatic communication skills. Ability to collaborate with other engineers or clients to methodically solve complex problems. Ability to innovate with new processes and standards. Ability to be a technical resource and mentor. Knowledge in Microsoft Office products. Certificates, Licenses, Registrations N/A. Travel Requirement Some travel, typically less than 40%. Benefits Competitive Compensation. Paid Holidays, Paid Sick Leave, and Paid Time Off. Competitive Medical, Dental and Vision Plans. 401k Retirement Plan with Matching Employer Contributions (%). Employer Sponsored Life Insurance and AD&D Insurance. Employer Paid Short- and Long-Term Disability Insurance. Continued Education and Trade Certification Sponsorship (Specific Positions). Company Branded Trucks Provided (Specific Positions). Applicants must be currently authorized to work in the United States on a full-time basis. Veregy is an EOE Employer. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Equal Employment Opportunity has been, and will continue to be, a fundamental principle at Veregy, where employment is based upon capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, veteran status, genetic history, sexual orientation, or any other protected characteristic as established by law.