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AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) 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 AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 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).

Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents 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: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning 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).

Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents 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: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning 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).

ConRes helps organizations adopt AI across public cloud, government cloud, and local and air-gapped data centers. As clients move AI from pilots into production, their security, compliance and audit teams need an independent answer to one question: is this AI system safe to run? The AI Security Engineer provides that answer. You will assess, test and help govern our clients' AI systems, and turn findings into prioritized, defensible remediation they can act on. Responsibilities AI Security Assessments Lead AI security assessments of LLM applications, RAG pipelines and AI agents: architecture review, data flows, identity, tenancy and data separation, logging and model-provider configuration. Run threat-modeling workshops using STRIDE with the OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance and MITRE ATLAS. Map findings to AI frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) and to the client's control baseline (NIST SP 800-53, NIST SP 800-171 / CMMC, FedRAMP, HIPAA, PCI DSS, SOC 2, ISO/IEC 27001) so stakeholders can defend severity and remediation decisions and produce audit-ready evidence. Write executive-ready reports and present results to client security, compliance and leadership teams. Adversarial Testing Plan and execute AI red-team exercises: direct and indirect prompt injection, jailbreaks, system-prompt and data leakage, insecure output handling, excessive agency and tool abuse in agents, RAG and vector-store poisoning. Validate that guardrails and content filters (native guardrail services in public and government cloud, and self-hosted guardrail models in air-gapped environments) actually hold under attack. Local and Air-gapped AI Deployments Define and verify security controls for self-hosted and air-gapped AI: inference servers (i.e., vLLM, Ollama, NVIDIA NIM), GPU hosts, local vector stores and the networks around them. Secure the model supply chain without internet access: provenance and hash/signature verification of model weights, scanning for unsafe serialization, and an approved internal model and package registry. Design and audit controlled data-transfer processes for moving models, updates, containers and datasets across the air gap. Harden hosts and containers; ensure logging, monitoring and incident response work without cloud services. Assess data-isolation guarantees and document them for accreditors and auditors. AI Governance and Risk Help clients develop AI acceptable-use, data-handling and model/vendor risk standards suited to their regulatory obligations. Assess the AI vendors and SaaS tools clients are adopting: data residency, retention, training-data use, SOC 2 / ISO 42001 posture. Define AI security requirements and acceptance criteria for client solutions, working with the client's teams and ConRes delivery teams. Help clients detect and manage shadow AI and AI-related data loss (data classification, DLP and AI threat-protection tooling). Incident Response and Enablement Support clients in investigating and responding to AI-related incidents: data leakage, model abuse, compromised AI identities or keys. Track emerging AI attack techniques and regulation, and keep client assessments and test cases current. Deliver AI security training and workshops for client teams, and help shape ConRes's AI security services and thought leadership. The pay range for this position begins at $180,000 up to $200,000 per year. This range reflects the annual salary that Continental Resources reasonably and in good faith expects to pay for this position at the time of posting, consistent with the Massachusetts Pay Transparency Law (M.G.L. c. 149, 105E).

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) 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 AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 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).

Description: Base Hourly Range : $60,000-$80,000 Reports to: Engineering Mgr or CAD Administrator Annual Bonus : No Direct Reports : None Remote: No Status : Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: I ntegrity P ride A ccountability C ustomer Service T eamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Provide support to the engineer design teams through design and drawing creation for components, assemblies, project documentation, and the Pacteon quality system. Provide direction and guidance to Shop, Assembly, and Electrical personnel as required Owner of all tasks associated with machine manual generation Deepen the understanding of products, customers, goals, organization, and business strategies, evaluating systems and processes, and identifying improvement needs. Develop and implement processes that improve engineering and manufacturing production and deliver quality outputs. Meet Schneider's quality standards while maintaining working knowledge of relevant technologies and best practices. KEY RESPONSIBILITIES Equipment Design Assist Mechanical design teams through the design and drafting of machine components using established design standards, design blocks and project requirements. Assist Controls design teams through the design and drafting of electrical drawings, blocks, updating red marks, UL checks, and other project requirements. Complete machine documentation (machine manual, installation guides, and as requested by Design Team. Contribute, as a member of a team of design professionals, to achieve project, department, and company goals. Work on multiple, simultaneous projects within multiple design teams. Communication Communicate in a manner that assures clarity and understanding with both internal and external customers. Collaborates with controls engineers to gather screenshots needed to complete manuals Attend department and process driven meetings as requested. Recommend improvements in the company's offerings and work procedures utilizing the Action Request and EAR process. Travel required may include field support for customers to ensure satisfactory operation of machines, vendor support, training and/or trade show support. Approximately 5-10%. Must maintain valid enhanced driver's license and/or passport for travel. Build professional skill through continued training, education, and networking events. Perform other related duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: o AS in Mechanical Technology or equivalent. Experience: o 2+ years of experience in a design-build manufacturing environment as an engineer with management responsibilities. o Project management experience preferred. Skills: o Advanced training/education in engineering, leadership and project management preferred. o Microsoft technology and relevant design and life cycle management software. o Proven ability to work in a cross functional team environment. o Highly effective time management, personal organization, and communication skills. o Demonstrates strong attention to detail while multi-tasking to achieve quality, timely completions of tasks. o A "Results Oriented" attitude coupled with a strong sense of accountability. Employment Conditions: o Valid driver's license and acceptable motor vehicle record. PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Compensation details: 0 Yearly Salary PIe38986c67e74-6189

Job Description Job Description Full-time Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Testing Technician is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 0-1 years of experience in wiring or assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 year of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required . Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility : Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity : Occasional use of hands to handle or feel objects, tools, or controls. Lifting : Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements : Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we dont accept unsolicited resumes from agencies at this time. If we ever need an extra hand, well be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC). PIb663a562e23c-3504

Job Description Job Description Full-time Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Tester is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 1-2 years of experience in wiring and assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 years of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required. Values Safety Focus : Prioritize safety in all actions. Actively follow safety protocols, identify potential hazards, and take immediate steps to correct or report unsafe conditions. Model safe behavior for others and contribute to a culture of workplace safety. Have Humanity : Respect the input and ideas of everyone to create the best possible outcome. Be Transparent : Value transparency in all interactions, ensuring honesty and openness with each stakeholder. Drive Innovation : Seek new ways to improve and take on new challenges. Be Resilient : Adapt to the ever-evolving business needs enabled by resourcefulness and agility. Always Reliable : Deliver on your commitments and achieve your goals. Show up to work on time and complete your assigned tasks. Grit: Learn new things, actively seek feedback, and training. Ownership Mindset: Take full responsibility for the quality and efficiency of your work. Proactively identify issues, offer solutions, and follow through. Treat company resources and goals as your own Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility: Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity: Occasional use of hands to handle or feel objects, tools, or controls. Lifting: Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements: Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we dont accept unsolicited resumes from agencies at this time. If we ever need an extra hand, well be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC). PI17f5-

Job Description Job Description Job Purpose: As a Production Test Engineer of the Laser Solutions Group, you will support new product development, production test development and sustaining. Responsible for troubleshooting line issues to determine root cause and possible engineering solutions. Determine opportunities for improvements in existing test processes. Ensures smooth implementation of design changes and performs process validation. Will work closely with R&D engineers to assure the smooth transfer of new products to manufacturing (Test). Responsible for all aspects of high power laser diode performance verification. This person will work closely with engineering, product development and production groups to characterize the performance of high power laser semiconductor diode chips, arrays and higher level of test assemblies. Duties: Develop and maintain production test processes and equipment for products produced. Support the production testing of electronic assemblies. Above average computer test programming skills: LabVIEW, C, .NET, Visual Basic, Matlab or SQL Create and maintain necessary documentation for product specifications and testing. Ensures manufacturing system and subsystem process and parts meet design specifications when products are shipped. Facilitates quality improvement in the quality of test, in manufacturing processes, supplier parts and design. Ensures application of test repeatability and reproducibility standards to new and existing testing of products. Reviews and monitors processes and makes recommendations for improvements. Setup and monitoring statistical process and control (SPC) charts. Engineer test methodology, procedures and equipment to characterize high power laser diodes and other related assemblies. Includes designing, developing and maintaining test/burn-in procedures and stations used for production of high power laser diodes. Manage and conduct both Product Acceptance Tests (ATP) and Design Verification and Qualification Tests (DVQT) on new and existing products in line with requirements. Includes creating test plans, assembling test equipment, hands-on testing, analyzing results and generating reports. Review new product specifications and provide feedback on test methodology and feasibility. Maintain and improve existing test solutions through software and/or hardware upgrades Develop systems to report test results to engineering and production teams in a clear and precise manner. Work with R&D engineers to transfer new products to production line to ensure the manufacturability. Setup production line, SPC charts and yield report for the new production lines. Set up a system to perform the Maintenance/ Calibrations to all test equipment Lead process improvement teams intended to increase throughput by reducing process time and increasing yield (Lean Six Sigma). Write and maintain work instructions, station documents. Maintain and specify production equipment. Manage ISO 9000, ISO/TS 16949:2002 and AS9100 equipment calibration compliance. Work with information technology department to improve database structures and collection methods to improve manufacturing. Skills/Qualifications: B.S or M.S Degree in Electrical Engineering or related subject or relevant industry experience. 2-5 years direct experience with manufacturing and characterizing high power laser diodes preferred. Must be goal oriented and use experience and judgment, as well as a certain degree of creativity and latitude to accomplish goals. Experience calculating and monitoring yields. Defining, designing and monitoring SPC charts. Strong computer skills (MS Access, Excel, Power Point, SPC, Minitab). Excellent communication skills. Willingness to commit to a project and the conviction to see the job through. Lean six sigma training and ability to lead a process improvement team. Must be able to perform multiple tasks under minimal supervision. Must be skilled in Excel and SQL/MS Access. Programming experience in LabVIEW, C, .NET, Visual Basic, Matlab or SQL or a similar programming language is required. Will work in class 1000 clean room environment. Must wear Clean Room Attire duration of the time in the clean room. NOTE: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Leonardo is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Here are the hiring process steps and what you can expect from us: Step 1: Application Review: Upon submitting your application, it is made available to the recruitment team to review and ensure you meet the basic qualifications Step 2: Interview: If you have been identified to move forward in the process, you may be invited to participate in a one-on-one or panel interview. The interview format can be a phone call, in-person, or virtual meeting. Step 3: Offer: If you reach this stage of the interview process, congratulations! You will be provided an offer to join the Leonardo Electronics US Inc. team. The offer will include details about your salary, benefits package and start date. PIc1bf681b028b-6233

Job Description Job Description Description: Position Summary Avum is seeking an AI/ML Integration Specialist to integrate artificial intelligence and machine learning capabilities into business applications and technology platforms. This role works with engineering, data, and business teams to turn AI solutions into reliable, secure, and scalable production capabilities. Key Responsibilities Design, develop, and maintain integrations connecting AI/ML models, APIs, and services with existing applications. Implement generative AI, large language models (LLMs), natural language processing, computer vision, and predictive analytics capabilities to support business needs. Build and maintain APIs, data pipelines, middleware, and integration workflows. Collaborate with data scientists, engineers, product teams, and business stakeholders to define requirements and move models from development into production. Evaluate and improve AI solution performance, scalability, security, reliability, and cost. Monitor deployed solutions, troubleshoot issues, and establish practices for testing, version control, deployment, and ongoing monitoring. Ensure solutions meet organizational security, privacy, governance, and responsible AI requirements. Document architectures, integrations, and operating procedures, and recommend emerging technologies that support business goals. Compensation Actual compensation and position level will be determined based on experience, qualifications, certifications, geographic location, and the responsibilities of the assigned role. Avum offers a comprehensive benefits package including medical (Cigna), dental and vision (Principal), 401(k), PTO, education reimbursement, and certification reimbursement. Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance may be required based on contract assignment Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan. Requirements: Required Qualifications U.S. citizenship with the ability to obtain and maintain a U.S. Government security clearance. Bachelor's degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field. Three or more years of experience in software engineering, systems integration, ML engineering, data engineering, or a related discipline. Experience integrating REST APIs, SDKs, microservices, and third party platforms. Strong programming skills in Python and/or Java, JavaScript, or TypeScript. Understanding of machine learning concepts, the model lifecycle, and AI application architecture. Experience working with databases, data pipelines, JSON, SQL, and cloud environments. Familiarity with Git, CI/CD, testing, logging, monitoring, and production deployment practices. Strong analytical, troubleshooting, communication, and problem solving skills. Preferred Qualifications Experience integrating LLMs and generative AI applications using OpenAI, Azure AI, AWS AI/ML, Google Cloud AI, or comparable platforms. Knowledge of retrieval augmented generation (RAG), vector databases, embeddings, and semantic search. Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. Familiarity with Docker, Kubernetes, serverless architectures, and cloud native development. Experience with MLOps, LLMOps, and model monitoring. Knowledge of AI security, governance, privacy, and responsible AI practices. Experience integrating AI capabilities with Salesforce, ServiceNow, SAP, Microsoft Dynamics, or similar enterprise platforms.

Job Description Job Description Protect what matters most. Join our team to implement and enhance security solutions that safeguard critical systems, data, and infrastructure while driving innovation across the organization. We've been recognized by Newsweek and Plant-A Insights Group as one of America's Most Admired Workplaces for 2026! As an employee recently said, "I feel I have a lot of support. I feel like part of the team." Position Summary: The primary purpose of the Senior Security Engineer is to harden and protect the Company's Windows and Microsoft 365 infrastructure across all Communities and corporate locations. This is a hands-on engineering role focused on Active Directory and Entra ID security, privileged access, endpoint protection, patch and exposure management, and security monitoring, with the CrowdStrike Falcon platform as the principal toolset, and delivers the technical work in the Company's security plan. Education/Qualifications: Must have a bachelor's degree in Cybersecurity, Information Systems, Computer Science, or a related field of science or learning, or must acquire advanced knowledge, which is predominantly intellectual in character and requires the consistent exercise of discretion and judgment, through a demonstrated equivalent combination of prolonged education and progressive work experience pertaining to specialized intellectual instruction for the skills of the position. Seven (7) or more years of progressive experience in systems or security engineering in a Windows enterprise environment, including at least three (3) years in a role with security as the primary responsibility. CrowdStrike Certified Falcon Administrator (CCFA) is required at hire or must be obtained within six (6) months of hire. One (1) or more of the following is preferred: CrowdStrike Certified Falcon Responder (CCFR), Microsoft SC-200 or SC-300, GIAC GCAD, SSCP, or similar. Must have a valid driver's license and the ability to travel occasionally to Communities and corporate locations. Hands-on experience hardening Active Directory and Windows Server, including Group Policy, Credential Guard, LSA Protection, Windows LAPS, and NTLM restrictions. Experience implementing privileged access controls, including tiered administration, role-based access, privileged access workstations, and jump hosts. Hands-on experience administering the CrowdStrike Falcon platform in production, including sensor deployment and health, host and prevention policy groups, and detection exclusions. Experience with Falcon Identity Protection, Falcon Next-Gen SIEM, or the Falcon Complete managed service is strongly preferred. Experience securing Microsoft 365 and Entra ID, including Conditional Access, multi-factor authentication enforcement, and privileged role management. Experience deploying endpoint security configuration at scale through Intune or Group Policy, including Defender Attack Surface Reduction rules and Tamper Protection. Experience running patch and vulnerability management across a Windows enterprise, including operating system and third-party application patching through Intune, WSUS, or Configuration Manager, vulnerability scanning, and risk-based remediation tracked against defined timelines. Experience with CrowdStrike Falcon Exposure Management is strongly preferred. Experience working with a managed detection and response or managed SOC provider on alert triage, escalation, and incident response. Experience with PKI implementation and administration. Previous experience in a healthcare or other HIPAA-regulated environment, and in a multi-site environment, is preferred. Experience with SIEM detection engineering, and with backup immutability and restore testing, is preferred. Roles and Responsibilities: Lead hardening of identity and privileged access. Lock down Active Directory and Windows Server (Credential Guard, LAPS, NTLM restrictions), tighten service accounts, and enforce MFA across VPN and RDP. Own the CrowdStrike Falcon platform end to end. Deploy, tune, and maintain EDR, Identity Protection, and Next-Gen SIEM across all endpoints and servers, including tailored policies for clinical workstations and medication carts. Build detections that catch real threats. Create alerts for lateral movement, credential misuse, and data exfiltration, and act as the technical partner to our managed detection and response provider during triage and incident response. Run patch and exposure management. Drive a staged patching program for operating systems, applications, and firmware, and prioritize vulnerabilities by exploitability and business impact using Falcon Exposure Management. Protect sensitive data and keep recovery reliable. Audit file share and SharePoint permissions, specify egress controls against unauthorized uploads, and help make backups immutable with tested restores. Balance security with resident care. Work with clinical leaders, Community staff, and vendors so controls protect the organization without disrupting care, including onsite visits to Communities. Advantages: Make a Difference - Be part of a team that strengthens AI processes to ensure and support quality resident care. Comprehensive Benefits - Health, dental, vision, and retirement plans. Generous PTO - Work-life balance with paid time off and holidays. Team-Oriented Culture - Work with dedicated professionals who value excellence. Stability - Join an organization with a proven track record in skilled nursing care. Benefits and Perks : Benefit eligibility the first of the month following 30 days Comprehensive benefit packages including medical, dental, and vision, and more. Health Savings Account available with employer contribution. 401K through Fidelity Employer-paid life insurance (FT employees) Robust Employee Assistance Program Generous Paid Time Off (PTO) Educational, leadership, and tuition opportunities Various discount programs offered, including discounted childcare programs through Kindercare Wellness programs offered through WebMD Employee recognition programs Culture of employees creating an IMPACT! Program details can vary amongst buildings. Please see HR for the facility-specific benefit plans. We are an Equal Opportunity Employer. All persons shall have the opportunity to be considered for employment without regard to their actual or perceived gender, race, color, national origin, religion, disability, age, military or veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.

Job Description Job Description Security Operations (SecOps) Engineer Active Secret Clearance Required Location: Hybrid - Must reside near a primary DISA DHMC site Possible Locations: Oklahoma City, OK Montgomery, AL Ogden, UT Mechanicsburg, PA Travel: Yes - Weekly travel to DISA locations (you will work out of your local DISA site when not traveling) Salary Range: $110,000 - $145,000 Position Summary: We are seeking a Security Operations (SecOps) Engineer to support federal cybersecurity initiatives across enterprise and cloud environments. This role combines hands-on security engineering, operational monitoring, and compliance support to ensure systems remain secure, observable, and audit-ready throughout their lifecycle. The ideal candidate will have strong experience with Elastic / ELK Stack technologies , security monitoring, and federal compliance frameworks. This role partners closely with DevOps, SRE, and compliance teams to integrate detection, response, and automation into production systems. Key Responsibilities: Security Operations & Monitoring Monitor, investigate, and respond to security alerts and incidents using Elastic Security (SIEM/XDR) Design, deploy, and maintain the Elastic Stack (Elasticsearch, Logstash, Beats, Kibana) Develop and tune detection rules, dashboards, and alerting workflows Conduct threat hunting and advanced log analysis Vulnerability & Patch Management Perform vulnerability scanning and analysis using tools such as ACAS / Tenable Track and remediate vulnerabilities in accordance with federal timelines Coordinate patching and mitigation efforts with infrastructure and application teams Compliance & Continuous Monitoring Implement and maintain controls aligned with NIST 800-53, FISMA, and FedRAMP Support ATO (Authority to Operate) activities including documentation and evidence collection Produce compliance and CDM reporting using Elastic dashboards and data feeds Secure Engineering & Automation Integrate security monitoring and logging into CI/CD pipelines and Infrastructure-as-Code Automate ingestion, enrichment, and response workflows using Python, Bash, or PowerShell Enforce secure configuration baselines (STIGs, CIS benchmarks) Collaboration & Risk Management Partner with DevOps and SRE teams to embed security observability into system design Advise stakeholders on risk posture, detections, and mitigation strategies Communicate technical findings to both technical and non-technical audiences Requirements Hands-on production experience with the Elastic Stack (ELK) Direct experience using Elastic Security as a SIEM/XDR platform Log pipeline design, parsing, enrichment, and lifecycle management Security event monitoring, alert triage, and incident response Linux and Windows security administration Scripting or automation experience ( Python, Bash, or PowerShell ) Experience in cloud or hybrid environments (AWS, Azure, GCP, or GovCloud) Security & Compliance Knowledge Strong familiarity with: NIST 800-53, 800-61, 800-137 FISMA federal cybersecurity requirements FedRAMP control implementation and monitoring Experience supporting audits, assessments, or ATO packages Active Secret Clearance Preferred Qualifications: Experience deploying Elastic in DoD or federal environments Integration with cloud-native logging tools (CloudTrail, Azure Monitor, GCP Logs) Familiarity with DevSecOps and Site Reliability Engineering (SRE) practices Container and Kubernetes security experience Certifications (Preferred) Elastic Certified Engineer or Analyst Security+ CySA+ CISSP Benefits Our comprehensive benefits package for full-time salaried employees is effective immediately upon the start date. Benefits include comprehensive PPO medical coverage with access to a Health Savings Account (HSA) option, a vision plan, and dental insurance with the base dental plan option paid for by PGTEK. Life Insurance, Short and Long-Term disability, and Critical Illness insurance have premiums covered. Additionally, PGTEK offers a matching 401(k) plan and a discount on pet insurance through ASPCA Pet Insurance. An Employee Assistance Program is available at no cost to all employees. PGTEK offers a generous amount of PTO and Holidays, and an Education Assistance Program is available after 12 months of employment. ABOUT PGTEK: PGTEK is a true consulting organization dedicated to helping clients achieve their business and technology objectives utilizing our decades of experience and business relationships. PGTEK invests in the educational advancements of our staff by providing the necessary resources to complete Professional and Business Certifications. Our company is our people, and we treat them like family. EOE, including disability/veterans