• Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability • Build reproducible, containerized environments with valid reference solutions and intentionally defective variants • Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior • Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests • Debug environments, document technical decisions, and review tasks created by other experts.

Role Description We are seeking an Infrastructure Automation Engineer with deep Terraform expertise to design, build, and maintain the infrastructure-as-code foundations that power our cloud and hybrid environments. This role focuses on creating reusable Terraform modules, hardening pipelines, enforcing policy-as-code, and standardizing infrastructure delivery across multiple teams and cloud providers. The ideal candidate brings strong software engineering discipline to infrastructure work, has shipped production-grade Terraform at scale, and understands the operational realities of managing thousands of resources across many environments and accounts. Key Responsibilities - Design, develop, and maintain modular, composable Terraform code that codifies the entire infrastructure estate across cloud accounts and environments. - Build a library of well-tested, reusable Terraform modules with clear interfaces, semantic versioning, and comprehensive documentation. - Implement Terraform automation pipelines using GitHub Actions, GitLab CI, Atlantis, Terraform Cloud, or Spacelift, with plan/apply gating, drift detection, and policy enforcement. - Define and enforce policy-as-code using Sentinel, Open Policy Agent (OPA), Conftest, or Checkov to prevent insecure or non-compliant infrastructure changes. - Manage Terraform state at scale with appropriate backend strategies, state locking, workspace organization, and disaster recovery patterns. - Drive multi-account, multi-region, and multi-cloud infrastructure provisioning strategies with clear isolation, naming, and tagging standards. - Implement infrastructure testing including unit tests with terraform-compliance, integration tests with Terratest, and policy tests across pull requests. - Collaborate with security, networking, and platform teams to embed guardrails directly into reusable modules and pipelines. - Standardize patterns for secrets management, identity federation, and least-privilege IAM through reusable Terraform abstractions. - Lead migrations from legacy, ClickOps, or non-IaC infrastructure into managed Terraform footprints with minimal disruption. - Drive cost optimization, tagging hygiene, and lifecycle management across the Terraform-managed estate. - Mentor engineering teams on Terraform best practices, anti-patterns, and pull-request review standards. - Maintain comprehensive runbooks, architecture diagrams, and onboarding materials for the infrastructure platform. - Stay current with Terraform, OpenTofu, and broader IaC ecosystem developments and recommend adoption where beneficial. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field. - Five or more years of experience in cloud infrastructure or DevOps engineering, with significant Terraform focus. - Deep, hands-on expertise authoring and maintaining production Terraform across at least one major cloud provider. - Strong experience designing reusable Terraform modules with clean APIs and version discipline. - Hands-on experience with Terraform state management, backends, and large-scale workspace organization. - Strong scripting skills in Python, Go, or Bash. - Experience with CI/CD pipelines for infrastructure code and automated policy enforcement. - Solid understanding of cloud networking, identity, and security primitives. - Strong Git-based workflows including code review, branching, and release management. - Excellent troubleshooting and root-cause analysis skills. Preferred Qualifications - Experience with multi-cloud Terraform (AWS + Azure or AWS + GCP). - Familiarity with Terragrunt, Atlantis, Spacelift, or env0. - Experience with policy-as-code engines (Sentinel, OPA, Checkov). - Contributions to public Terraform modules or providers. - Exposure to FinOps practices and tagging-driven cost governance. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Design, build, and maintain scalable data architectures and data models. • Develop and optimize ETL and data ingestion pipelines following Medallion Architecture principles. • Build and maintain Snowflake data warehouse solutions and dbt transformation models. • Develop workflow orchestration pipelines using Dagster or similar tools. • Manage and optimize cloud-based data storage on AWS S3. • Design and maintain graph-based data models where appropriate. • Support entity-matching pipelines and associated data structures. • Collaborate closely with AI and Data Science teams to enable reliable data consumption for AI applications. • Provide technical guidance and promote data engineering best practices across the team. • Participate in Agile ceremonies and contribute to continuous improvement initiatives.

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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).