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Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details

Job Description Job Description Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit . Why This Role Matters Saviynt's platform is mission-critical for our customers. As we scale globally, reliability, availability, and performance are not optional-they are core product features. As a Principal Engineer, you will define and drive the reliability strategy for our SaaS platform. This is a high-impact, hands-on engineering role with broad influence across infrastructure, platform, and application teams. You will shape how Saviynt designs, operates, and measures reliability at scale. This role is ideal for engineers who want to work on hard reliability problems, influence architecture across teams, and leave a lasting mark on a growing SaaS platform. What You Will Do In this pivotal role, you will be instrumental in designing, building, and maintaining the shared infrastructure services and platforms that our product and application teams will depend on • You will focus on creating reusable, reliable, and scalable solutions that abstract away complexity, enabling other teams to focus on their core business logic and deliver features faster in a multi-cloud environment • Design and build core platform components and shared infrastructure services that other development teams will integrate with and leverage to deploy and operate their applications • Architect, implement, and manage highly available and scalable Kubernetes platforms as a service for internal consumers • Develop robust, internal-facing tools and automation for infrastructure provisioning and management primarily using Go (Golang) • Architect and optimize foundational solutions within Cloud environments (AWS, Azure, etc.), focusing on creating reusable patterns and modules for other teams • Design and implement shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub that product teams can easily utilize • Develop and maintain robust CI/CD pipelines (e.g., GitLab CI and ArgoCD) as a service, providing standardized and automated deployment workflows for various development teams • Design and build resilient Distributed Systems components that serve as building blocks for other applications, focusing on reliability, fault tolerance, and performance • Manage and optimize our shared infrastructure across Multi-Region Cloud Environments, ensuring that platform services are globally available and performant for all consumers • Establish and enhance centralized Observability and Monitoring platforms and tools that provide self-service insights for consuming teams • Define and implement clear, well-documented RESTful API designs for the infrastructure services you build, ensuring ease of integration for internal clients • Implement and manage Service Mesh (e.g., Envoy, Istio) capabilities, providing traffic management, security, and policy enforcement as a shared platform for services • Design, implement, and optimize highly available Relational Database services or shared data platforms for broad organizational use • Collaborate closely with product development teams to understand their infrastructure needs and pain points, providing technical guidance and support • Participate in on-call rotations to support the critical shared infrastructure you build What Are We Looking For • 1+ years of experience as a Principal SRE with a strong focus on building tools and services for other engineers • Deep expertise with Kubernetes in production environments, particularly in providing it as a platform(i.e single tenant and multi-tenant deployment architectures) • Strong programming skills in Go (Golang) and Python, with experience building robust, maintainable backend services and automation • Extensive hands-on experience with at least one major Cloud Provider (GCP is a must); multi-cloud experience is a strong plus, especially in building abstractions over them. • Proven experience designing and implementing Event-Driven Architecture and message queuing systems (e.g., Kafka, RMQ, NATS) as shared services • Solid understanding and practical experience with CI/CD pipeline tools (especially GitLab CI) and experience establishing automated delivery processes for other teams • Demonstrable experience designing and operating Distributed Systems, with an understanding of patterns for creating reliable, shared components • Familiarity with Multi-Region Cloud Environments and strategies for building globally distributed and highly available platform • Proficiency in establishing and utilizing comprehensive Observability and Monitoring platforms (e.g., Prometheus, Grafana, ELK stack, Datadog) for shared infrastructure • Strong experience with RESTful API design principles and building well-documented, consumable APIs • Knowledge of Service Mesh concepts and practical experience with solutions like Istio in a platform context • Hands-on experience with Relational Databases (e.g., MySQL, PostgresSQL), ideally in managing them as a service • Excellent communication skills and the ability to clearly articulate complex technical concepts to both technical and non-technical audiences • A strong customer-centric mindset, treating internal development teams as your primary customers • Advanced Professional GCP Certification is required. • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience or equivalent military experience required If required for this role, you will: - Complete security & privacy literacy and awareness training during onboarding and annually thereafter - Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to): Incident Response Policy/Procedures > Business Continuity/Disaster Recovery Policy/Procedures > Mobile Device Policy > Account Management Policy > Access Control Policy > Personnel Security Policy > Privacy Policy Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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. . click apply for full job details

Job Description Job Description Greetings from Donato Technologies Inc. We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resumes Title: Sr. SRE / DevOps Engineer Location: Sunnyvale, CA (Only Local candidate) Client Interview - In-Person Job Summary - For this role, we are looking for a Sr. SRE / DevOps Engineer at Sunnyvale, California location. As Site Reliability Engineer, the individual will work closely with multi-functional teams, automate operations, optimize infrastructure, implement security and solve issues in an exciting, fast-paced environment. The individual will play a vital role in ensuring that the systems are reliable, scalable, and high performing. Responsibilities - • Ensure system reliability and availability - Monitor system issues, create strategies to detect issues, address those issues, design automated systems to troubleshoot, write and review post-mortems. • Mitigate Operational risks - Collaborate with development teams and other stakeholders to identify potential risks, perform risk assessments, implement risk mitigation strategies, continuously monitor and review the effectiveness of risk strategies. • Monitor system health. • Minimize emergency response (MTTR). • Maintain CI/CD pipelines, etc. • Continuous improvement by collaborating with various teams. • Automation of processes. Must have/required experience and skills: • 8+ years of experience on DevOps and Site Reliability Engineering. • Hands-on with containerization and orchestration: Docker, Kubernetes/EKS. • Proficiency in infrastructure as code tools: Terraform, Ansible, or CloudFormation. • Experience setting up and managing services running on Kubernetes. • In-depth understanding of SRE principals including monitoring, alerting, error budgets, fault analysis, and automation. • In-depth knowledge of monitoring and observability tools: Apache Splunk • Knowledge of Linux operating system principles, networking fundamentals, and systems management • Demonstrable fluency in at least one of the following languages: Java or Python • Ability to identify and communicate technical and architectural problems, while working with partners and their team to iteratively find solutions. • Building and managing CI/CD pipeline - gatekeeping production deployments, develop and implement GIT branching strategies, branch protection rules, network policies, scale up/ scale down the load on AWS. • Strong problem-solving and analytical skills • Solve performance issues and scalability issues in the system. Technical Skills: • DevOps and SRE • AWS Kubernetes/EKS, Docker • Terraform, Ansible, or CloudFormation • Apache Splunk, Apache Flink • Programming/Scripting using Java or Python • CI/CD • Database - Vertica, Snowflake. Behavioral Skills: • Excellent Communication skills and collaboration skills • Ability to propose and implement improvements in the system • Ability to work with cross-functional stakeholders • Adaptability and a willingness to learn new technologies and techniques. • Proactive approach to issues, ability to provide prompt resolution/work Jennifer Sampson Technical Recruiter . DONATO TECHNOLOGIES, INC 12100 Ford Rd Dallas, TX 75234 Direct : (469)- Email: Web:

Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity Relocation assistance is available for this position. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. This position will be part of our Property Pricing State Team handling forecasting analytics. This role will require an experienced analyst to independently apply actuarial methods for accurate pricing and process improvement, mentor colleagues, provide strategic insights, and manage business risks in compliance with internal risk management policies. Experienced analyst responsible for independently applying actuarial methodologies to complete structured projects and serves as a technical subject matter expert on assigned tasks. What you'll do: Independently applies actuarial methodologies to complete structured projects (e.g., Builds tools to test and implement new methodologies that improve accuracy of actuarial analysis; utilizes model results to select new variables and refresh existing variables in a rating algorithm; analyzes results from multiple methodologies to propose reserve selections and documenting rationale). Identifies and improves existing processes utilizing actuarial, mathematical, or statistical techniques. Proactively resolves technical issues and identifies appropriate issues for escalation. Assists others with troubleshooting issues. Creates instructions and training materials for actuarial tools and processes. Mentors new team members. Apply business acumen to provide actionable insights that help solve business problems. Effectively communicates insights and solutions to broad audiences including actuarial and non-actuarial stakeholders. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years of actuarial or analytical business experience. 3 Casualty Actuarial Society (CAS) exams. Experience with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making. Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect technical insights to business problems. What sets you apart: Experienced pricing forecaster with a background in trend analysis, claims analytics, and reserving. Familiarity with Excel and at least one programming language or modeling software package (Python, SQL, R, SAS, etc.). Demonstrated experience with basic actuarial pricing methodologies. Demonstrated experience aggregating and analyzing data to solve problems. Ability to effectively communicate insights and solutions to broad audiences including actuarial and non-actuarial stakeholders. P&C Personal Lines pricing experience. Familiarity and experience with industry pricing software such as Earnix. US military experience through military service or a military spouse/domestic partner. Compensation range: The salary range for this position is: $77,120 - $138,810. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA 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, or status as a protected veteran.

Our Mission: We coach and support students from low socioeconomic backgrounds to prepare for and graduate from college as transformational leaders in order to forge a just and equitable society. College Success Foundation believes in respecting, upholding, and reflecting diversity and is committed to becoming an anti-racist organization. By leading with equity, and utilizing an anti-racist lens in our work, we center diversity, equity, and inclusion in everything we do. We believe students win when we have a high-performing culture that is committed to eliminating barriers to student achievement. Our passion is fostering educational equity, making college accessible and affordable to underserved students from low-income families. POSITION SUMMARY: The Advisor provides middle and high school students with college and career support to enable them to graduate from high school and successfully transition onto college. The Advisor uses a whole school approach, which includes targeted and universal student outreach and services in a collaborative manner with school administrators, school staff, other college access providers and other College Success Foundation (CSF) staff. PRIMARY DUTIES AND RESPONSIBILITIES: The items listed in this section are the primary duties and responsibilities for this job and do not represent an exhaustive list. Our organization is dynamic and therefore duties may change based on business necessity; however, any new duties will remain within the scope of the job. Implement college and career program with fidelity to the CSF Pathway model and best practices. Deliver college and career content, as outlined in CSF program frameworks, by employing strategies and techniques that promote student learning and college readiness. Provide ongoing services such as one-on-one advising to support students' college and career readiness, assist with the college planning process and achieve CSF student outcomes. Maintain supportive relationships with students to create opportunities for social and emotional growth. Work with school principals, school staff and local community partners to engage and retain high school students in CSF programming throughout the school year. Review and apply student feedback, which is collected by the advisor through surveys and other means, to be responsive to student needs and continually improve programming. Actively participate in trainings as well as manager and peer feedback sessions to promote professional development, learning and collaboration. Input data into Salesforce to monitor progress with program implementation, track service deliveries and student participation and respond to reporting requirements. Attend CSF staff meetings, CSF All Staff meetings, and other required gatherings including occasional evening and weekend events. Track and reconcile monthly program expenses. QUALIFICATIONS Education and Experience The items listed below are the minimum requirements for the job and are relevant to this position. The organization values both work experience and education and realizes that individuals take different paths to acquire knowledge. Bachelor's degree in education, Social Work, or relevant field, preferred. Two years of experience in fields related to mentoring, youth development, education, teaching or counseling. Experience working with diverse populations and age groups Alumni of CSF programming and/or scholarship recipients preferred. Any equivalent combination of education and experience that provides the necessary qualifications to successfully perform the duties of the position will be considered. Knowledge and Skills Knowledge and understanding of the barriers encountered by students from underrepresented groups. Familiarity with practices and strategies to promote student learning including the skills to coach and guide students to develop a growth mindset. Ability to coach and mentor students to achieve educational and career goals. Flexible and adaptive to meet the diverse needs of students Knowledge of college and career readiness as well as postsecondary planning and enrollment. Effective communication skills, both verbal and written, to engage with students, educators, and community stakeholders. An established commitment to work collaboratively and harmoniously with CSF staff, colleagues and stakeholders. Skills to organize and prioritize key tasks with attention to detail and established deadlines. Commitment to diversity, equity, and inclusion, respecting individual differences and serving diverse populations. Initiative to learn and enhance skills that promote equity and an understanding of oppression and its impact on underserved populations. Familiarity with Customer Relationship Management (CRM) software, such as Salesforce, for data analysis and reporting. Proficiency in Microsoft Office applications, especially Outlook, Excel, and Word, as well as knowledge of collaborative online meeting tools such as Teams. Professional Certifications and Licenses Motivational Interviewing Certification a plus PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the primary duties and responsibilities of this job. The College Success Foundation is committed to fostering an organizational culture that is diverse, equitable, and inclusive. Therefore, if reasonable accommodation is required to fully participate in the interview process or to perform the primary duties and responsibilities of this role, please contact Human Resources. While performing the duties of this job, the employee is regularly required to: Operate office equipment such as a computer and printer/copier. Communicate information and ideas to create understanding and exchange accurate information. Sitting or standing for extended periods of time. Frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Perceive, inspect, and assess data at close range. WORK ENVIRONMENT This position requires Washington state residents if assigned in a Washington based location. If this position is assigned in a District of Columbia based location the resident must reside in the District of Columbia. Job may allow for hybrid work arrangements. Uses collaborative software for communicating with others and attending virtual meetings. Occasional travel is required, including occasional evening and weekend events. Reliable transportation is required. CONDITION OF EMPLOYMENT The position may change based upon the needs of the program and/or organizational needs and available funding. In compliance with federal and state regulations, College Success Foundation maintains a drug free environment and all successful applicants must pass a drug screen prior to hire. The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods, or otherwise to balance the workload.

Who We Are: The Tactical Aerospace Department is a premier supplier for aerospace quality Complex Electronics on new and legacy DoW systems. This includes avionics, mission LRU's, flight worthy payloads, ground aerospace systems, and cutting edge third generation AI/ML for DoD platforms. This position is located on-site at either of our San Antonio, TX or Dayton (Beavercreek), OH facilities. Objectives of this Role: Responsible to develop System level and LRU Architectures. Lead the development of CONOPS, develop requirements, requirement allocation, and test. Guide multi-disciplinary engineering teams to develop hardware, firmware, and software for complex flight worthy avionics/mission LRU's/payload hardware. Interact directly with clients to establish system requirements and architectures to meet client expectations. Provide technical project leadership throughout each program. Must be willing to travel. Utilize Model Based Systems Engineering (MBSE) processes to support system designs/architectures. Support department management in specific technical marketing activities, proposal development of embedded systems, and in the development of product/technical roadmaps. Daily and Monthly Responsibilities: System Engineer over embedded avionics/aerospace programs. Lead a multi-disciplinary team to develop, integrate, and test embedded complex flight worthy systems. This includes electrical, mechanical, firmware, software, and AI/ML. Meet with internal and external customers to establish system technical requirements and facilitate development of specification documents and system architectures. Lead trade analyses within and across the relevant domains. Work with stakeholders to allocate functions to components/systems and develop those allocations into requirements for the engineers, designers, and managers to design, develop, integrate and test. Requirements: Requires a Bachelors degree in Electrical Engineering, Systems Engineering or equivalent engineering degree field with related experience. 10+ years: Experience developing, deriving, and allocating tiered Systems Engineering requirements in Avionics applications/LRU's. Broad, basic understanding of engineering activities/disciplines in avionics development (e.g. Systems, Hardware Development, Firmware, software, Integration, Testing, Bid and Proposal efforts, CONOPS, Qualification, Certification, System Safety, FMEA, Lab activities, etc). Experience developing CONOPS and System/LRU Architectures and basic/Intermediate experience with Model Based System Engineering (MBSE). A valid/clear driver's license is required.

Principal Radar Systems Engineer Contract 6+ months 40 hours weekly Hourly rate of pay is $85+ based on Experience and Education Location: Woburn, MA. Hybrid work environment but must be able to commute to Woburn office as needed for activities Required Qualifications: This position requires an Active Secret security clearance with the ability to obtain and retain a Top Secret (TS) security clearance with SCI/SAP eligibility, for which U.S. citizenship is needed by U.S. Government. Client is focused on delivering National Defense capabilities by driving mission-focused strategies to develop advanced technology systems enabling enduring products and solutions focused on achieving the customer vision. Our programs deliver sustainable, reliable, and cost-efficient capabilities focused on end-customer needs that function in operationally relevant environments and timeframes. We consider the entire lifecycle of the solution, from conceptualization and architecting, through development to deployment, while leveraging novel technologies to deliver first-of-a-kind systems. Client delivers technology advantage into users' hands and is seeking a Principal Radar Systems Engineer to support/lead the architecting, design, development, and implementation of radar systems that meet challenging customer needs. You will collaborate with fellow researchers and engineers on multi-disciplinary teams to interpret and understand customer objectives and develop innovative solutions. You may direct and/or lead development efforts and junior engineers, as needed, in areas of focus including exploration and demonstration of Radar and EW/RF convergence. As a Systems Engineer, you will apply a broad perspective and understanding of the elements that comprise a complete, functioning radar system to architect solutions, be directly involved with implementing the solutions (hands-on engineering), and guide teams spanning software, hardware, integration and test. You should have experience defining leading teams, architecting complete radar systems, and working across the Systems Engineering Lifecycle, with familiarity in Digital Engineering/MBSE. Strong interpersonal, communication, technical, and peer-leadership skills are required. Applicants are expected to be self-motivated, detail oriented and have a demonstrated ability to effectively communicate with all levels of management and individual contributors on the program team through strong written and verbal communication skills. You will be joining a dynamic team working across multiple disciplines with opportunities to further expand your knowledge and grow your career. Responsibilities Include: Researching, understanding, and leading new RF sensing implementations for advanced radar solutions. Identifying new technical approaches and working with program and technical leadership to implement these approaches Decomposing customer needs/complex problems and developing system concepts and solutions Effectively using tools to create, evaluate, and document solutions and clearly communicate the solution to the team, Client management, and customers, which may include generating system models in Cameo Designing, directing, and when necessary, implementing cutting-edge technology in multi-function radar systems Conducting performance analysis through simulations and real-world testing to validate and optimize radar performance Ensuring appropriate level of rigor is applied to achieve systems that meet customer needs Collaborating with cross-functional teams to define system requirements, specifications and architectures for radars, and ensure seamless integration and interoperability of the system Development and specification of simulation tools to facilitate test and verification of radar software and hardware components Required Qualifications: This position requires an Active Secret security clearance with the ability to obtain and retain a Top Secret (TS) security clearance with SCI/SAP eligibility, for which U.S. citizenship is needed by U.S. Government. Expert understanding of and experience with entire radar systems and their principles of design, development, requirements verification, test planning, test execution, data analysis, and operations support In-depth knowledge of how to implement radar modes, including transmit and receive waveform generation and signal processing Proficiency in radar simulation tools and MATLAB Experience in preparing and delivering high-level briefings to customers and senior management. Interacting with decision-makers and customers to translate mission needs into an end-to-end solution Familiarity with the execution of technical reviews (SRRs, PDRs, CDRs, TIMs) Demonstrated experience in leadership and delivery of advanced development projects Minimum of 10 years work experience as a Radar Systems Engineer Desired Qualifications: Active Top Secret Security Clearance, and eligible to support special access programs. Minimum of 5 years experience working with SysML models in Cameo (or similar tool). Experience working with software-intensive systems and open architecture. Familiarity with programming languages (e.g. C, C++, Python). Education/background: Background should include a Bachelor's degree and at least 10 years of applicable experience directly related to development and deployment of radar systems; Master's degree and at least 8 years of applicable experience; or PhD and at least 5 years of applicable experience. Equivalent experience will be considered.

Our Mission: We coach and support students from low socioeconomic backgrounds to prepare for and graduate from college as transformational leaders in order to forge a just and equitable society. College Success Foundation believes in respecting, upholding, and reflecting diversity and is committed to becoming an anti-racist organization. By leading with equity, and utilizing an anti-racist lens in our work, we center diversity, equity, and inclusion in everything we do. We believe students win when we have a high-performing culture that is committed to eliminating barriers to student achievement. Our passion is fostering educational equity, making college accessible and affordable to underserved students from low-income families. POSITION SUMMARY: The Advisor provides middle and high school students with college and career support to enable them to graduate from high school and successfully transition onto college. The Advisor uses a whole school approach, which includes targeted and universal student outreach and services in a collaborative manner with school administrators, school staff, other college access providers and other College Success Foundation (CSF) staff. PRIMARY DUTIES AND RESPONSIBILITIES: The items listed in this section are the primary duties and responsibilities for this job and do not represent an exhaustive list. Our organization is dynamic and therefore duties may change based on business necessity; however, any new duties will remain within the scope of the job. Implement college and career program with fidelity to the CSF Pathway model and best practices. Deliver college and career content, as outlined in CSF program frameworks, by employing strategies and techniques that promote student learning and college readiness. Provide ongoing services such as one-on-one advising to support students' college and career readiness, assist with the college planning process and achieve CSF student outcomes. Maintain supportive relationships with students to create opportunities for social and emotional growth. Work with school principals, school staff and local community partners to engage and retain high school students in CSF programming throughout the school year. Review and apply student feedback, which is collected by the advisor through surveys and other means, to be responsive to student needs and continually improve programming. Actively participate in trainings as well as manager and peer feedback sessions to promote professional development, learning and collaboration. Input data into Salesforce to monitor progress with program implementation, track service deliveries and student participation and respond to reporting requirements. Attend CSF staff meetings, CSF All Staff meetings, and other required gatherings including occasional evening and weekend events. Track and reconcile monthly program expenses. QUALIFICATIONS Education and Experience The items listed below are the minimum requirements for the job and are relevant to this position. The organization values both work experience and education and realizes that individuals take different paths to acquire knowledge. Bachelor's degree in education, Social Work, or relevant field, preferred. Two years of experience in fields related to mentoring, youth development, education, teaching or counseling. Experience working with diverse populations and age groups Alumni of CSF programming and/or scholarship recipients preferred. Any equivalent combination of education and experience that provides the necessary qualifications to successfully perform the duties of the position will be considered. Knowledge and Skills Knowledge and understanding of the barriers encountered by students from underrepresented groups. Familiarity with practices and strategies to promote student learning including the skills to coach and guide students to develop a growth mindset. Ability to coach and mentor students to achieve educational and career goals. Flexible and adaptive to meet the diverse needs of students Knowledge of college and career readiness as well as postsecondary planning and enrollment. Effective communication skills, both verbal and written, to engage with students, educators, and community stakeholders. An established commitment to work collaboratively and harmoniously with CSF staff, colleagues and stakeholders. Skills to organize and prioritize key tasks with attention to detail and established deadlines. Commitment to diversity, equity, and inclusion, respecting individual differences and serving diverse populations. Initiative to learn and enhance skills that promote equity and an understanding of oppression and its impact on underserved populations. Familiarity with Customer Relationship Management (CRM) software, such as Salesforce, for data analysis and reporting. Proficiency in Microsoft Office applications, especially Outlook, Excel, and Word, as well as knowledge of collaborative online meeting tools such as Teams. Professional Certifications and Licenses Motivational Interviewing Certification a plus PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the primary duties and responsibilities of this job. The College Success Foundation is committed to fostering an organizational culture that is diverse, equitable, and inclusive. Therefore, if reasonable accommodation is required to fully participate in the interview process or to perform the primary duties and responsibilities of this role, please contact Human Resources. While performing the duties of this job, the employee is regularly required to: Operate office equipment such as a computer and printer/copier. Communicate information and ideas to create understanding and exchange accurate information. Sitting or standing for extended periods of time. Frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Perceive, inspect, and assess data at close range. WORK ENVIRONMENT This position requires Washington state residents if assigned in a Washington based location. If this position is assigned in a District of Columbia based location the resident must reside in the District of Columbia. Job may allow for hybrid work arrangements. Uses collaborative software for communicating with others and attending virtual meetings. Occasional travel is required, including occasional evening and weekend events. Reliable transportation is required. CONDITION OF EMPLOYMENT The position may change based upon the needs of the program and/or organizational needs and available funding. In compliance with federal and state regulations, College Success Foundation maintains a drug free environment and all successful applicants must pass a drug screen prior to hire. The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods, or otherwise to balance the workload.

Genesis10 is currently seeking a Principal ServiceNow Solutions Architect for a contract to hire position with a Regional Financial Institution located in Columbus, OH. This hybrid position can also be located in Minnetonka, MN, Dallas, TX, and Detroit, MI. Compensation: $70.00 - $80.00 per hour, W2, based on experience and qualifications Position Overview: The Principal ServiceNow Solutions Architect will reside within the ServiceNow application space, focusing on platform architecture and integrations. The Principal Architect will participate on project teams to support the design and modeling of architecture, review business processes for improvement, and ensure adherence to all architectural policies and standards. Primary Responsibilities: Understand, advocate, and augment the principles of information technology strategies Analyze enterprise business drivers to determine corresponding change requirements Analyze the IT environment to detect critical deficiencies and recommend solutions for improvement Analyze technology industry and market trends, and determine their potential impact on the enterprise Define the principles to guide solution decisions for the enterprise Design and lead the implementation of an Enterprise Architecture (EA) based on enterprise business requirements and IT strategies Design and direct the governance activities associated with ensuring EA compliance Develop a road map of the evolution of the enterprise application portfolio from current to future state Coordinate solution architecture implementation and modification activities Facilitate the evaluation and selection of software product standards, as well as the design of standard software configurations Consult with application or infrastructure development projects to fit systems or infrastructure to architecture Identify the organizational and financial impact of the EA Document all solution architecture design and analysis work Work closely with the enterprise program management office (EPMO) to ensure alignment of plans with what is being delivered Core Requirements: Bachelor's degree 5+ years of experience in multiple IT areas, to include experience in at least 2 IT disciplines in a client/server or service-oriented architecture (SOA) environment, including technical architecture, network management, application development, middleware, database management or operations Understanding of ServiceNow products and architecture including Core Platform, CMDB, Integrations, Security, Release process and update set promotion Desired Skills: 3+ years of experience as a Solution Architect 3+ years of leading Technology efforts 3+ years supporting ServiceNow platform Solution Architecture experience across the business, technology, data, application, and infrastructure domains Demonstrated proficiency and experience in performing Solution Architecture for large and complex solutions across the enterprise Excellent communication skills (listening, verbal, and written) and the ability to interact professionally with a diverse group of executives, managers, business leaders, and subject matter experts using strong presentation skills Able to multi-task with strong time management and prioritization skills Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website . Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Network & Telecom Support Engineer II Summary of Position: The Network & Telecom Support Engineer II is responsible for the support, implementation, and maintenance of the organization's network infrastructure and telephony systems. This entry-level role assists in the deployment and optimization of networking technologies, including routers, switches, firewalls, and wireless access points, while also managing and supporting cloud-based telephony platforms such as Cisco Webex Cloud, Webex Contact Center, and Vonage Contact Center. The engineer will work collaboratively with senior engineers and cross-functional teams to ensure the reliable, secure, and efficient operation of both network and telecom environments that support the business. Principal Duties and Responsibilities: Network Implementation: Assist in the deployment of network infrastructure, including routers, switches, firewalls, and wireless access points. Participate in the implementation and configuration of network solutions, ensuring alignment with organizational standards and best practices. Deploy network configuration through automated workflows following CI/CD practices. Contribute to the deployment of Software-Defined Wide Area Network (SD-WAN) solutions to improve network efficiency and reliability. Assist in the implementation of cloud connectivity solutions, optimizing for performance, security, and cost-effectiveness. Telephony Management: Assist in operating and optimizing cloud-based telephony systems, including Webex Cloud for internal telephony, Webex Contact Center for IT Service Desk operations, and Vonage Contact Center for sales and customer care. Support the configuration and administration of telephony systems, leveraging automation tools and DevOps principles where applicable. Assist in the integration of telephony solutions with other IT systems and platforms. Monitor telephony system performance and usage metrics, analyzing data to ensure optimal performance and identify areas for improvement. Assist with telephony-related projects, including system upgrades, migrations, and new implementations. Operations and Support: Provide on-call service 24x7 for Tier 2 support in partnership with Service Desk for network and telephony-related issues, troubleshooting and resolving problems in a timely manner. Monitor network and telephony performance using monitoring tools to identify and address potential issues proactively. Assist in the administration of network and telephony security services, including updating rules and filters to maintain a strong security posture. Support infrastructure maintenance activities, including upgrades and vulnerability patches. Collaborate with vendors and PSTN partners to resolve issues, manage upgrades, and maintain service contracts. Process Improvement and Documentation: Contribute to the development and enforcement of Standard Operating Procedures (SOPs) for network and telephony operations. Identify opportunities for operational process improvements, supporting initiatives to enhance efficiency and service quality. Assist in maintaining up-to-date documentation, including network diagrams, telephony configurations, and standard operating procedures. Develop and deliver training materials and documentation for end-users on telephony and network systems. Education and Experience Requirements: Education: Bachelor's degree in Computer Science, Information Technology, Telecommunications, Engineering, or a related field; or equivalent work experience. Experience: 1-2 years of relevant work experience in computer networks, telephony, or related IT support roles. Exposure to enterprise office and data center environments is a plus. Certifications: Certifications such as ITIL, Cisco CCNA, CompTIA Network+, or similar are preferred but not required. Skills and Expertise: Workflow Automation: Identifying repetitive, rule-based tasks and leveraging AI to execute smart automations that save time and manual workload. Networking Technologies: Basic proficiency in configuring and managing network devices, including routers, switches, and firewalls. Familiarity with Cisco/Meraki, Cisco Catalyst, Cisco Nexus, and Palo Alto Networks is a plus. Telephony Systems: Foundational understanding of cloud-based telephony systems, including Cisco Webex Cloud and VoIP/SIP protocols. Experience with contact center platforms is a plus. Security: Knowledge of network and telephony security best practices, including compliance with security policies and industry regulations. Technical Proficiency: Familiarity with automation tools, GitHub, and CI/CD practices is beneficial. Troubleshooting: Strong problem-solving and analytical skills, with the ability to diagnose and resolve network and telephony issues efficiently. Personal Attributes: Team Player: Ability to work collaboratively with senior engineers, IT teams, vendors, and other stakeholders to achieve shared goals. Communication: Effective written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Customer Focus: A commitment to providing high-quality support and improving the user experience for both internal and external stakeholders. Detail-Oriented: Strong attention to detail, ensuring accuracy in configurations and documentation. Adaptability: Ability to adapt to new technologies and processes in a dynamic work environment. Additional Requirements: Continuous Learning: Commitment to staying current with industry trends and pursuing relevant certifications and training opportunities. Travel: Willingness to travel occasionally to support network or telephony installations and upgrades at remote locations. This role is ideal for a motivated individual looking to build a foundation in both network engineering and telecommunications, gaining hands-on experience across infrastructure, cloud connectivity, and enterprise telephony systems. Physical Requirements This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the associates. Duties, responsibilities, and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Our Mission: We coach and support students from low socioeconomic backgrounds to prepare for and graduate from college as transformational leaders in order to forge a just and equitable society. College Success Foundation believes in respecting, upholding, and reflecting diversity and is committed to becoming an anti-racist organization. By leading with equity, and utilizing an anti-racist lens in our work, we center diversity, equity, and inclusion in everything we do. We believe students win when we have a high-performing culture that is committed to eliminating barriers to student achievement. Our passion is fostering educational equity, making college accessible and affordable to underserved students from low-income families. POSITION SUMMARY: The Advisor provides middle and high school students with college and career support to enable them to graduate from high school and successfully transition onto college. The Advisor uses a whole school approach, which includes targeted and universal student outreach and services in a collaborative manner with school administrators, school staff, other college access providers and other College Success Foundation (CSF) staff. PRIMARY DUTIES AND RESPONSIBILITIES: The items listed in this section are the primary duties and responsibilities for this job and do not represent an exhaustive list. Our organization is dynamic and therefore duties may change based on business necessity; however, any new duties will remain within the scope of the job. Implement college and career program with fidelity to the CSF Pathway model and best practices. Deliver college and career content, as outlined in CSF program frameworks, by employing strategies and techniques that promote student learning and college readiness. Provide ongoing services such as one-on-one advising to support students' college and career readiness, assist with the college planning process and achieve CSF student outcomes. Maintain supportive relationships with students to create opportunities for social and emotional growth. Work with school principals, school staff and local community partners to engage and retain high school students in CSF programming throughout the school year. Review and apply student feedback, which is collected by the advisor through surveys and other means, to be responsive to student needs and continually improve programming. Actively participate in trainings as well as manager and peer feedback sessions to promote professional development, learning and collaboration. Input data into Salesforce to monitor progress with program implementation, track service deliveries and student participation and respond to reporting requirements. Attend CSF staff meetings, CSF All Staff meetings, and other required gatherings including occasional evening and weekend events. Track and reconcile monthly program expenses. QUALIFICATIONS Education and Experience The items listed below are the minimum requirements for the job and are relevant to this position. The organization values both work experience and education and realizes that individuals take different paths to acquire knowledge. Bachelor's degree in education, Social Work, or relevant field, preferred. Two years of experience in fields related to mentoring, youth development, education, teaching or counseling. Experience working with diverse populations and age groups Alumni of CSF programming and/or scholarship recipients preferred. Any equivalent combination of education and experience that provides the necessary qualifications to successfully perform the duties of the position will be considered. Knowledge and Skills Knowledge and understanding of the barriers encountered by students from underrepresented groups. Familiarity with practices and strategies to promote student learning including the skills to coach and guide students to develop a growth mindset. Ability to coach and mentor students to achieve educational and career goals. Flexible and adaptive to meet the diverse needs of students Knowledge of college and career readiness as well as postsecondary planning and enrollment. Effective communication skills, both verbal and written, to engage with students, educators, and community stakeholders. An established commitment to work collaboratively and harmoniously with CSF staff, colleagues and stakeholders. Skills to organize and prioritize key tasks with attention to detail and established deadlines. Commitment to diversity, equity, and inclusion, respecting individual differences and serving diverse populations. Initiative to learn and enhance skills that promote equity and an understanding of oppression and its impact on underserved populations. Familiarity with Customer Relationship Management (CRM) software, such as Salesforce, for data analysis and reporting. Proficiency in Microsoft Office applications, especially Outlook, Excel, and Word, as well as knowledge of collaborative online meeting tools such as Teams. Professional Certifications and Licenses Motivational Interviewing Certification a plus PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the primary duties and responsibilities of this job. The College Success Foundation is committed to fostering an organizational culture that is diverse, equitable, and inclusive. Therefore, if reasonable accommodation is required to fully participate in the interview process or to perform the primary duties and responsibilities of this role, please contact Human Resources. While performing the duties of this job, the employee is regularly required to: Operate office equipment such as a computer and printer/copier. Communicate information and ideas to create understanding and exchange accurate information. Sitting or standing for extended periods of time. Frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Perceive, inspect, and assess data at close range. WORK ENVIRONMENT This position requires Washington state residents if assigned in a Washington based location. If this position is assigned in a District of Columbia based location the resident must reside in the District of Columbia. Job may allow for hybrid work arrangements. Uses collaborative software for communicating with others and attending virtual meetings. Occasional travel is required, including occasional evening and weekend events. Reliable transportation is required. CONDITION OF EMPLOYMENT The position may change based upon the needs of the program and/or organizational needs and available funding. In compliance with federal and state regulations, College Success Foundation maintains a drug free environment and all successful applicants must pass a drug screen prior to hire. The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods, or otherwise to balance the workload.

Job Title: Lead LIMS Developer (Java & SAPIO LIMS) Overview / Summary We are seeking a Lead LIMS Developer to provide technical leadership for a new Laboratory Information Management System (LIMS) modernization initiative. During the first year, this position will primarily focus on the design and delivery of a new LIMS modernization program in its initial planning and discovery phase. The ideal candidate will bring strong thought leadership, strategic thinking, solution design expertise, and the ability to translate healthcare and laboratory operational needs into scalable technical solutions. This role will partner closely with laboratory operations, healthcare stakeholders, quality assurance, product owners, architects, and development teams to define the future-state LIMS environment. The Lead will guide technical design, establish development standards, evaluate solution options, conduct architecture and code reviews, and remain actively involved in hands-on development and problem resolution. Direct healthcare, laboratory, and LIMS experience is required. Key Responsibilities Lead the design, architecture, and implementation of SAPIO LIMS and/or LabVantage solutions. Translate laboratory and business requirements into scalable workflows, integrations, and data models. Design and optimize laboratory processes, including sample management, testing, results review, approvals, and exception handling. Architect integrations with laboratory instruments, healthcare systems, ELN, SDMS, CDS, and enterprise platforms. Develop and oversee APIs, microservices, custom configurations, business rules, and platform extensions. Establish technical standards, development best practices, and architecture governance. Conduct architecture reviews, code reviews, performance tuning, and technical quality assessments. Lead onshore and offshore engineering teams while mentoring developers and driving technical excellence. Ensure compliance with GxP, 21 CFR Part 11, ALCOA+, data integrity, security, and regulatory requirements. Support Computer System Validation (CSV) activities, including URS, FRS, Traceability, IQ/OQ/PQ, and audit readiness. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 8+ years of software engineering or enterprise application development experience. Extensive Java development experience with Spring and Spring Boot. Strong hands-on experience with SAPIO LIMS and/or LabVantage. Experience with Python (Flask, Django, or FastAPI). Proven experience leading LIMS implementations, upgrades, or modernization programs. Experience in healthcare, clinical laboratory, diagnostics, pharmaceutical, or biotechnology environments. Expertise in REST APIs, microservices, system integrations, and backend architecture. Experience with AWS and/or Azure cloud platforms. Strong knowledge of SQL/NoSQL databases, data modeling, and enterprise integration patterns. Experience with architecture reviews, troubleshooting, root-cause analysis, and performance optimization. Knowledge of CSV, regulated SDLC practices, GxP, 21 CFR Part 11, and ALCOA+. Excellent communication, stakeholder management, and leadership skills. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.