CrawlJobs Logo

Senior Distinguished AI Engineer

capitalone.com Logo

Capital One

Location Icon

Location:
United States , San Francisco

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

286200.00 - 392000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

Requirements:

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
  • At least 10 years of experience programming with Python, Go, Scala, or Java
  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  • Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems
  • Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP 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
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
What we offer:
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Additional Information:

Job Posted:
March 27, 2026

Employment Type:
Fulltime
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Distinguished AI Engineer

Sr. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; San Francisco, California
Salary
Salary:
343400.00 - 392000.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms
  • 2+ years of experience supporting Agentic Frameworks
  • 2+ years of experience with LLMOps
  • 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 using Python, C++, C#, Java, or Golang
  • Master's degree in Computer Science, Computer Engineering, or relevant technical field
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
  • Standardizing and automating agentic workflows
  • Contribute to crafting an end to end GenAI SDK, CLI and starter kits
  • Help bring together a vision of central guardrail services
  • Collaborate with cross organization architects to drive end to end performance
  • Accelerate innovation by incubating proof of concepts and driving RFCs
  • Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
  • 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
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Distinguished Engineer

As a Distinguished Engineer at Capital One, you will be a part of a community of...
Location
Location
United States , San Jose, California; McLean, Virginia; New York, New York; San Francisco, California
Salary
Salary:
Not provided
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree
  • At least 7 years of experience in Software engineering
Job Responsibility
Job Responsibility
  • Articulate and evangelize a bold technical vision for your domain
  • Decompose complex problems into practical and operational solutions
  • Ensure the quality of technical design and implementation
  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
  • Continue learning and injecting advanced technical knowledge into our community
  • Handle several projects simultaneously, balancing your time to maximize impact
  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
  • Design and drive the long-term technical roadmap for our Foundation Model Hosting platform, ensuring high throughput, ultra-low latency, and optimal GPU utilization across massive, multi-tenant workloads
  • Lead performance engineering across both the platform and model layers
  • You will pioneer the implementation of advanced techniques such as speculative decoding, continuous batching, kv-cache optimization (PagedAttention), and custom quantization strategies (FP8, INT4, AWQ)
What we offer
What we offer
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right
New

Elastic Compute Architect, Senior Director (IC)

At Teradata, we believe that people thrive when empowered with better informatio...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of progressive experience in cloud infrastructure or distributed systems engineering, including 5+ years in a senior architectural or engineering leadership role
  • Proven track record of setting multi-year technical strategy for large-scale, commercially deployed cloud platforms with global enterprise customers
  • Deep knowledge of elastic compute architectures—autoscaling, multi-cloud resource management, containerization, and workload scheduling—at petabyte and petaflop scale
  • Experience driving AI-powered productivity initiatives within engineering organizations, including measurable outcomes from AI tool adoption programs
  • Exceptional executive communication and stakeholder management skills, with a demonstrated ability to influence at the C-suite and Board level
  • Prior experience as a chief architect or distinguished engineer at a cloud infrastructure company, major database vendor, or hyperscaler
  • Familiarity with Teradata Cloud architecture, MPP systems, or enterprise data warehousing platforms
  • Experience managing globally distributed architecture teams and operating across cultural and time zone boundaries
  • Background in FinOps, cloud cost governance, or commercial engineering (understanding how compute cost flows to product pricing)
  • A track record of building AI-forward engineering cultures—where teams routinely use AI assistants, automated code review, and AI-generated documentation as standard practice
Job Responsibility
Job Responsibility
  • Own the long-range architectural roadmap for elastic compute across the Teradata Cloud platform, including dynamic resource provisioning, multi-tenant workload isolation, and adaptive query scheduling for AI and analytics workloads
  • Lead a team of Senior Staff and Staff Architects, setting technical standards, driving design reviews, and cultivating a culture of engineering excellence and continuous improvement
  • Partner with CPO and ELT-1 engineering leaders to align elastic compute investments with Teradata's Artemis, Agentic Platform, and MCP Integration product priorities
  • Represent Core Platform architecture in executive and customer-facing forums
  • articulate compute strategy to Board-level audiences, enterprise accounts, and strategic partners
  • Drive a 10x productivity agenda across the architecture function through structured AI tool adoption—including AI-assisted design review, generative documentation, and automated performance regression analysis
  • Define the talent and capability model for the elastic compute architecture discipline
  • partner with Talent Acquisition to attract, assess, and onboard world-class architects globally
  • Establish governance frameworks, architectural review boards, and cross-functional working groups to ensure elastic compute decisions are made with speed and rigor
  • Identify and manage technical debt, platform risk, and capacity planning across the compute layer
  • Fulltime
Read More
Arrow Right

Distinguished Engineer, Enterprise AI

We’re seeking a Distinguished Engineer - a hands-on technical leader operating a...
Location
Location
United States , San Francisco; New York
Salary
Salary:
285200.00 - 356500.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of experience as a technical software engineering leader
  • Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments
  • Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems
  • experience with GenAI preferred
  • Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact
  • Experience influencing and mentoring engineering teams in complex, matrixed environments
  • Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality
  • Advanced degree in Computer Science, Engineering, or related field preferred but not required
Job Responsibility
Job Responsibility
  • Define and drive the technical strategy for Scale’s AI/ML infrastructure and SGP platform, balancing short and long-term investments
  • Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems
  • Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation
  • Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization
  • Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation
  • Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership
  • Drive technical execution and accountability for critical cross-functional initiatives that advance Scale’s enterprise AI capabilities
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • Fulltime
Read More
Arrow Right

Senior Distinguished Engineer, AI Compute (Remote Eligible)

Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capit...
Location
Location
United States , San Francisco; Richmond; New York; San Jose; Cambridge; McLean
Salary
Salary:
286200.00 - 392000.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree
  • At least 7 years of experience with application architecture and design patterns
  • At least 5 years of experience with distributed databases, microservice architectures, and high availability systems
Job Responsibility
Job Responsibility
  • Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform
  • Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics
  • Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows
  • Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models
  • Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions
  • Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities
  • Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right
New

Senior Principal Architect, Senior Director

Location
Location
United States , California
Salary
Salary:
217300.00 - 325900.00 USD / Year
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 20+ years of software or systems engineering experience, with 8+ years in a principal, distinguished, or fellow-level architectural role at a software product company or hyperscaler
  • Recognized technical authority in at least two of the following domains: cloud-native data platforms, distributed query processing, AI/ML infrastructure, elastic compute architecture, or enterprise integration
  • Demonstrated ability to set and communicate a multi-year technical vision that influences both internal engineering decisions and external market positioning
  • Proven track record of deploying AI tools, LLM-assisted workflows, and automated engineering practices at an organizational scale—with measurable productivity outcomes
  • Outstanding communication skills with experience presenting to Boards of Directors, institutional investors, and enterprise C-suite executives
Job Responsibility
Job Responsibility
  • Define and steward Teradata's enterprise-wide technical architecture vision, ensuring coherent design across compute, storage, query processing, AI/ML pipelines, and cloud integration layers
  • Lead architectural strategy for Teradata's highest-complexity, highest-risk platform initiatives—including Teradata Factory data lakehouse, Agentic Platform AI workloads, and MCP Integration framework
  • Serve as Teradata's primary external technical voice in industry forums, standards bodies (e.g., cloud data alliances, open-source governance boards), and with strategic enterprise customers and partners
  • Chair the Enterprise Architecture Review Board, establishing architectural principles, evaluating major design proposals, and resolving cross-team technical conflicts with speed and clarity
  • Develop and operationalize a comprehensive AI productivity framework for the Core Platform engineering org—defining tooling standards, measurement baselines, and a roadmap for AI-assisted design, testing, and documentation
  • Mentor a portfolio of Principal and Senior Staff Architects
  • serve as a career sponsor and technical role model for Teradata's most senior engineering talent
  • Produce landmark technical assets—platform blueprints, architecture whitepapers, technology evaluations—that are used directly in Board reporting, investor communications, and enterprise sales cycles
  • Partner with the CPO and Chief Data Officer to ensure architecture investments align with Teradata's five-year AI platform strategy and business outcomes
  • foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce
What we offer
What we offer
  • Healthcare
  • Life and disability insurance plans
  • 401(k)-retirement savings plan
  • Time-off programs
  • Fulltime
Read More
Arrow Right

Senior Director, Distinguished Engineer

As a Sr. Distinguished Engineer at Capital One, you will be a part of a communit...
Location
Location
United States , McLean; Plano; San Francisco; Richmond
Salary
Salary:
286200.00 - 392000.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree
  • At least 9 years of experience in General software
  • At least 9 years of experience in Software engineering and solution architecture
  • At least 9 years of experience in Enterprise architecture and design patterns
  • At least 9 years of experience in Full ML development lifecycle using AI and ML frameworks
  • At least 9 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)
  • At least 9 years of experience in Data architecture
Job Responsibility
Job Responsibility
  • Articulate and evangelize a bold technical vision for your domain
  • Decompose complex problems into practical and operational solutions
  • Ensure the quality of technical design and implementation
  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
  • Continue learning and injecting advanced technical knowledge into our community
  • Handle several projects simultaneously, balancing your time to maximize impact
  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
  • Additional responsibilities added at hiring manager’s discretion
What we offer
What we offer
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Distinguished Technologist, Presales Engineering

Distinguished Technologist, Presales Engineering. This role has been designated ...
Location
Location
United States , All, New Jersey
Salary
Salary:
203500.00 - 492500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • AI/ML Networking Expertise: Proven experience designing networks for AI clusters, with a deep understanding of lossless Ethernet, congestion control algorithms (PFC, ECN), and load-balancing techniques specific to AI traffic patterns
  • Edge & Distributed Compute Knowledge: Technical proficiency in MEC (Multi-access Edge Computing) and how it intersects with AI inferencing models and 5G/6G transport
  • Advanced Network Design: 15+ years of experience in Network Infrastructure Design, with at least 3-5 years focused on Hyperscale Datacenter or Cloud-Scale SP architectures
  • Modern Protocol Fluency: Working knowledge of and hands-on experience with JunOS, EOS, or IOS(certifications preferred), with specialized knowledge in EVPN-VXLAN, Segment Routing (SRv6), and telemetry-driven automation
  • Systems Thinking: Ability to bridge the gap between hardware (GPU/NIC/Switch) and software (AI Frameworks, Kubernetes, Virtualization) to provide a holistic "AI Fabric" vision
  • Thought Leadership: Significant experience providing both solution and commercial leadership, specifically in translating the "Cost of AI" into a value-based networking ROI for C-level stakeholders
  • Executive Presence: Professional with strong business acumen and the ability to build relationships with technical decision makers and C-level executives in client organizations
  • Sales Mastery: Experience preparing RFP/Tender response documents, including compliance, bill of materials, and solution documents to drive a successful response
  • Resource Management: Strong resource management skills, including how and when to effectively engage SMEs, specialists, and Engineering resources
  • Minimum Qualifications: 15+ years relevant industry experience in Cloud/Networking Infrastructure, routing, and switching domains
Job Responsibility
Job Responsibility
  • Lead AI Grid Strategy: Serve as the primary architect for "AI Grid" initiatives, helping Service Providers build interconnected, high-performance compute and networking fabrics designed specifically for distributed AI workloads
  • Architect Edge AI Solutions: Design and implement low-latency networking architectures to support Inferencing at the Edge, ensuring SPs can deliver AI services closer to the end-user with minimal jitter and maximum throughput
  • Optimize AI Infrastructure: Articulate the value of specialized AI/ML networking, including the orchestration of RDMA over Converged Ethernet (RoCE v2) and InfiniBand-to-Ethernet transitions within the Modern Datacenter
  • End-to-End AI Design: Responsible for the architecture of end-to-end Networking Infrastructure that supports both the "Front-end" (management/client) and "Back-end" (GPU-to-GPU) AI clusters
  • Strategic Advisory: Advise Sales Engineers and partners on the transition from traditional SP routing to AI-Optimized WAN and Fabric solutions, ensuring customers' business requirements for massive scale and predictive analytics are met
  • Ecosystem Integration: Develop deep partnerships with Silicon providers, AI software innovators, and Integrators to solve emerging "AI-scale" problems across multi-tenant environments
  • Hyperscale AI Networking: Architect and design Hyperscale solutions that specifically address "Job Completion Time" (JCT) metrics critical to AI training customers
  • Complex Deal Orchestration: In complex Networking Infrastructure deals, the Distinguished Technologist will be responsible for the end-to-end technical solution & customizations, orchestrating other Specialists and Technical resources including Systems Engineers as well as Product Management
  • Technical Validation: Excel in delivering Demos and Proof of Concept on solutions as well as clearly articulating the value proposition aligned to customer use cases
  • Stakeholder Engagement: Build relationships with senior resources and technical decision makers with key customers to ensure smooth knowledge transfer and hand-over to the delivery team
What we offer
What we offer
  • Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing
  • Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division
  • Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good
  • Fulltime
Read More
Arrow Right