CrawlJobs Logo

Senior Lead AI Engineer (Gen AI Platform Services)

capitalone.com Logo

Capital One

Location Icon

Location:
United States , San Jose

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

229900.00 - 286200.00 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 that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

Requirements:

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java

Nice to have:

  • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  • Experience designing, developing, integrating, delivering, and supporting complex AI systems
  • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
  • 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:
January 08, 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 Lead AI Engineer (Gen AI Platform Services)

New

Gen AI Engineering and Scaled AI Transformation

Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of progressive experience in software engineering, ML, or AI platforms, with 5+ years leading senior engineers and architects
  • 3+ years of hands‑on experience deploying LLM‑based systems in production environments at enterprise scale
  • Demonstrated authority across commercial and open‑source LLM ecosystems (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies
  • Proven ability to define enterprise-wide GenAI standards, reference architectures, and reusable accelerators
  • Demonstrated leadership in establishing prompt engineering standards and orchestration patterns
  • Experience optimizing latency, throughput, accuracy, and token cost across large‑scale GenAI workloads
  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred
Job Responsibility
Job Responsibility
  • Acts as a senior technical authority on Large Language Models, including both commercial and open‑source ecosystems (OpenAI, Gemini, Claude, Llama)
  • Leads model selection and deployment strategy, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints
  • Guides decisions on hosted vs. private vs. fine‑tuned models, ensuring optimal trade‑offs between performance, control, and operational risk
  • Establishes enterprise standards for LLM lifecycle management, including upgrades, regression validation, and decommissioning
  • Demonstrates hands‑on leadership in building GenAI applications using LangChain, LangGraph, LlamaIndex, and Hugging Face, translating experimentation into production systems
  • Architects agentic and multi‑step workflows, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale
  • Sets reusable reference patterns and accelerators for GenAI adoption across application teams
  • Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility
  • Designs and delivers robust RAG architectures that ground GenAI outputs in trusted, auditable enterprise data
  • Leads implementation of vector databases and embedding strategies (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models
  • Fulltime
Read More
Arrow Right
New

Senior Lead AI Engineer (Gen AI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; New York, New York
Salary
Salary:
250800.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
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 that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
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

Gen AI Strategy Lead

The AI Strategy Leader will serve as a strategic advisor, technical expert, and ...
Location
Location
United States , Frederick
Salary
Salary:
165000.00 USD / Year
realign-llc.com Logo
Realign
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong understanding of GenAI, large language models (LLMs), Agentic AI, cloud AI services, and MLOps practices
  • Experience with cloud AI and Data services
  • Solid grounding in NLP, Computer Vision, predictive modeling, and data engineering fundamentals
  • Familiarity with vector databases, RAG pipelines, embeddings, and model evaluation techniques
  • Proven experience delivering AI programs in consulting or enterprise environments
  • Strong stakeholder management and communication skills across technical and business teams
  • Ability to lead cross-functional initiatives and drive decision-making in complex environments
  • Strategic mindset with the ability to translate business challenges into AI solutions
Job Responsibility
Job Responsibility
  • Define enterprise-level AI strategies aligned with business goals and industry trends
  • Identify AI/ML opportunities to optimize processes, reduce costs, and enable new digital capabilities
  • Guide decision makers on technology selection, architecture patterns, and AI platform roadmaps
  • Establish AI governance frameworks covering ethics, compliance, model lifecycle, and risk mitigation
  • Architect end-to-end AI solutions using modern tools (LLMs, Agentic AI, LLMOps, cloud-native AI, etc)
  • Lead technical assessments, feasibility studies, and PoCs for emerging AI technologies
  • Ensure architectural scalability, performance, and security across AI systems
  • Oversee AI model development, training, evaluation, deployment, and monitoring
  • Provide hands-on guidance on prompt engineering, RAG design, model fine-tuning, and responsible AI practices
  • Coordinate cross-functional teams including developers, data scientists, and business SMEs
  • Fulltime
Read More
Arrow Right

Gen AI Tech Engineering Senior Lead

This role is for an innovative Generative AI Engineer to drive the adoption of L...
Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep hands-on experience in engineering and executing enterprise solutions that scale effectively
  • Fluency in at least two programming languages, with a strong preference for Python and Java. Proficiency in Javascript/Typescript and Golang is also highly valued
  • Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms
  • Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), N8N, Flask, LangChain, LangGraph, and MLFlow
  • Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
  • Experience with messaging and integration platforms like Kafka or JMS/MQ
  • UI development skills with technologies such as React JS or StreamLit
  • Experience designing and implementing REST and WebSocket APIs
  • Familiarity with one of the major cloud platforms including AWS, GCP, or Azure
  • Strong knowledge of infrastructure tools, including Docker, Kubernetes, Terraform, and Helm
Job Responsibility
Job Responsibility
  • Contribute significantly to both engineering and research initiatives within the Generative AI domain
  • Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions
  • Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems
  • Actively engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy
  • Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution
  • Develop foundational components and mature technology capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs)
  • Drive the enterprise-wide adoption and successful integration of Generative AI solutions
  • Demonstrate strong problem-solving capabilities and a proactive learning mindset, continuously acquiring new skills
  • Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders
  • Be adaptable and resourceful in navigating complex technical and organizational challenges
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, AI Data

We're seeking an exceptional Senior Software Engineer to join our AI Data team. ...
Location
Location
Salary
Salary:
Not provided
assemblyai.com Logo
AssemblyAI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional software engineering experience
  • Strong proficiency in Python and SQL with demonstrated ability to write production-quality code
  • Solid understanding of software engineering fundamentals: Data structures and algorithms
  • System design and architectural patterns
  • Testing strategies (unit, integration, end-to-end)
  • Code review practices and technical collaboration
  • Experience with: RESTful APIs and distributed systems concepts
  • Containerization (Docker) and basic cloud infrastructure
  • Track record of delivering high-quality software in a team environment
  • Ability to thrive in a startup environment with changing priorities and rapid iteration
Job Responsibility
Job Responsibility
  • Architect Next-Gen AI Data Infrastructure
  • Design scalable, future-proof data platforms optimized for AI research workloads
  • Build efficient self-serve data processing pipelines leveraging GCP's advanced services
  • Implement cost-effective storage and monitoring solutions for ML at scale
  • Create flexible training resource management with intelligent queuing
  • Optimize resource allocation for maximum training efficiency
  • Participate in on-call rotation to ensure system reliability
  • Advance Technical Excellence
  • Lead adoption of cutting-edge ML tools and frameworks, continuously evaluating and integrating best-in-class solutions
  • Streamline existing workflows while introducing new tooling that further reduces complexity
What we offer
What we offer
  • competitive equity grants
  • 100% employer-paid benefits
  • the flexibility of being fully remote
  • Fulltime
Read More
Arrow Right

Senior Applied AI Engineer

Build production-grade, multimodal (audio/video/text) systems that convert broad...
Location
Location
United States , New York
Salary
Salary:
180000.00 - 240000.00 USD / Year
geniussports.com Logo
Genius Sports
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5–8+ years of professional software engineering experience (backend and/or ML systems)
  • Strong proficiency in one or more of: Python, Java, Rust
  • Hands-on experience building production services involving LLM or multimodal model integration (including Gemini, ChatGPT or Claude)
  • Comfortable with ambiguity, iterative experimentation, and evidence-based decision-making in an Agile environment
  • Experience with streaming data platforms like Kafka, Pulsar, Flink
  • Experience with AWS Bedrock or Google Vertex AI
  • Familiarity with version control systems (e.g., Git)
  • Excellent problem-solving skills and attention to detail
  • Ability to work independently and as part of a team
  • Strong communication skills
Job Responsibility
Job Responsibility
  • Build and maintain multimodal agents: Audio sensor agents (acoustic events, sentiment, alignment), Visual sensor agents (scorebug/overlay reading, basic visual cues when applicable), Specialist and decision logic components (structured event outputs, confidence, traceability)
  • Implement streaming-friendly pipelines: chunking, normalization, time-sync, async execution, and robust retry/backoff for model/tool calls
  • Develop prompt-as-code with strict JSON contracts, schema validation, and deterministic post-processing to reduce brittleness
  • Improve system robustness under noisy inputs by: Designing fallback behaviors (degraded modes), Adding guardrails and confidence thresholds, Instrumenting traces/metrics for latency + cost + accuracy
  • Partner with product, platform, and domain leads to translate sport rules/edge cases into validation logic and to integrate outputs into downstream consumers (tagging, live feeds, analytics)
  • Contribute to the evaluation workflow by adding test cases, failure mode categories, and regression checks for prompts and model routing
  • Stay up-to-date with emerging Gen AI technologies, tools, and best practices
  • Mentor and support other team members in data engineering principles and practices
What we offer
What we offer
  • Eligible to take part in Genius Sports Group's benefits plan
  • Competitive salary and range of benefits
  • Committed to supporting employee wellbeing and helping you grow your skills, experience and career
  • Inclusive working environment
  • Fulltime
Read More
Arrow Right

Sr Program Manager Tech - Gen AI

Lead program delivery and client engagement in the domain of AI training and eva...
Location
Location
United States , Sunnyvale; San Francisco; New York
Salary
Salary:
167000.00 - 185500.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains
  • Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required
  • Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams
  • Familiarity with strategies for delivery and QC processes in this domain is required
  • Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services
  • Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
  • Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
  • Ability to work in a global organization across locations and time zones
Job Responsibility
Job Responsibility
  • Client engagement for presales support - partner with Sales to interact with prospective clients to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach
  • Client engagement for program delivery - represent the service delivery organization and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams
  • Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required
  • Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI with prospective clients
  • Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals
  • Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking
  • Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives
  • Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right

Director - IT Senior Group Manager (Platform Engineering and Optimization)

The Director - IT Senior Group Manager ( C15) is a senior management level posit...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of relevant leadership and delivery experience in an Engineering focused role with extensive experience in global business, functional and people management
  • relevant degree in Engineering or computer science from reputed school. Masters degree preferred
  • Experience working in Financial Services or a large complex and/or global environment
  • Exposure to working with AI-assisted software development models, and experience implementing Gen AI use cases
  • Experience providing leadership for scaled agile release trains preferred
  • program management experience helpful
  • Demonstrated ability to influence remote, senior stakeholders including senior business executives
  • Experience in tracking and monitoring delivery, productivity and organizational health metrics
  • Experience planning, forecasting and managing technology budgets at team level, including project tracking and governance
  • Demonstrated systems thinking, critical analysis and design thinking skills
Job Responsibility
Job Responsibility
  • Lead and manage a set of engineering teams to deliver business and technology value, working with peers and partners. Actively speed up and improve engineering practices ensuring higher levels of productivity and quality
  • Define and implement the workforce strategy creating an organization of happy, productive, engaged, co-located engineering teams comprised of direct and supplier staff located globally, including workforce planning, hiring, performance , and pay management
  • Implement career development frameworks and processes for the team, providing coaching, mentoring and development of engineering and related job families
  • Be a great partner, but also hold your peers (development, testing , Architecture, Infra team etc) accountable for partnering in delivery
  • Managing Lower environment operations, observability, test data management and test automation will be key focus areas
  • Be a strong advocate for and drive the adoption of modern engineering practices including scaled agile, DevOps, CI/CD and automation, and build a culture of engineering and continuous improvement, with a focus on velocity, quality and agility
  • Stay abreast of domain and industry developments and advocate relevant technology strategies as appropriate, including the use of AI, cloud, data technologies, and third-party products, and drive a culture of innovation
  • Develop and implement the technology roadmap and strategy and provide ownership and direction for technology products, working in partnership with the application development team, business stakeholders, and other technology partners
  • Build productive relationships with business counterparts and support the execution of key programs working in partnership with business, infrastructure and security teams
  • Oversee the technology budget for the function and manage the budget and forecasts to ensure relevant targets are met
  • Fulltime
Read More
Arrow Right