CrawlJobs Logo

Lead AI Engineer (GenAI Platform Services)

capitalone.com Logo

Capital One

Location Icon

Location:
United States , McLean

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

197300.00 - 245600.00 USD / Year

Job Description:

Lead AI Engineer (GenAI Platform Services). At Capital One, we are creating responsible and reliable AI systems, changing banking for good. 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 4 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 2 years of experience developing AI and ML algorithms or technologies
  • At least 4 years of experience programming with Python, Go, Scala, or Java

Nice to have:

  • 6 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, delivering, and supporting AI services
  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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
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:
February 06, 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 Lead AI Engineer (GenAI Platform Services)

GenAI Engineer

We are seeking a talented and experienced Generative AI Engineer to lead the dev...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience in Machine Learning, Generative AI, or related fields
  • Strong leadership and communication skills
  • Advanced knowledge of integrating Generative AI into cloud infrastructures
  • Ability to design and implement AI strategies at scale
  • Proficiency in Python and relevant ML libraries
  • Experience with LangChain, Semantic Kernel, Hugging Face Transformers
  • Familiarity with Apache Lucene/Solr/LuceneSearch
  • Experience building applications with LLMs on Microsoft Azure (GPT-4o, o3)
  • Use of Azure OpenAI models (GPT-3.5 Turbo, GPT-4)
  • Experience with Azure AI Services (genai-ltst, gpt-4o-mini-realtime-preview)
Job Responsibility
Job Responsibility
  • Independently develop GenAI-based applications tailored to product requirements
  • Implement scalable and high-performance AI solutions
  • Integrate AI applications with existing internal systems
  • Lead and collaborate with cross-functional teams to drive AI strategy and execution
What we offer
What we offer
  • Inetum certified Top Employer Europe 2025
  • Opportunity to grow your expertise
  • Create digital impact quickly, easily and for the good of all
  • Fulltime
Read More
Arrow Right

AI Engineer

In this role you will design and build intelligent, autonomous AI systems that e...
Location
Location
United States , San Diego
Salary
Salary:
199500.00 - 299300.00 USD / Year
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 3–5+ years of experience in software architecture, backend development, or AI infrastructure
  • Strong Python skills and familiarity with Java, Go, and C++
  • Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling
  • Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks
  • Ability to design core agentic capabilities such as memory management, context handling, observability, and identity
  • Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP)
  • Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures
  • Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams
  • Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate
Job Responsibility
Job Responsibility
  • Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology
  • Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments
  • Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions
  • Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform
  • Succeed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value
What we offer
What we offer
  • Healthcare, life and disability insurance plans
  • 401(k)-retirement savings plan
  • Time-off programs
  • Flexible work model
  • Well-being focus
  • Diversity, Equity, and Inclusion commitment
  • Fulltime
Read More
Arrow Right

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

GenAI Engineering Lead

We are seeking an exceptional and highly motivated GenAI Tech Lead to join our d...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions, with a specific focus on GenAI adoption and Agentic AI for business process automation
  • Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued
  • Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant
  • Strong theoretical and practical understanding of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies
  • Proficiency with transformers, agentic frameworks, vector stores, and advanced search algorithms
  • Hands-on experience with Retrieval Augmented Generation (RAG) implementations
  • Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask
  • Extensive experience with data analysis and manipulation using tools like SQL and Pandas
  • Proficiency in database technologies including Oracle, Postgres, or MongoDB
  • Proven experience in designing and implementing robust REST and WebSocket APIs
Job Responsibility
Job Responsibility
  • Strategic Leadership & GenAI Adoption: Drive the identification, evaluation, and adoption of emerging Generative AI technologies and tools to develop innovative solutions and enhance existing platforms. Actively design, develop, and implement AI/ML solutions within financial applications, with a strong emphasis on practical GenAI adoption. This includes hands-on coding, prototyping, and deploying GenAI solutions
  • Agentic AI for Business Process Automation: Lead the end-to-end design, prototyping, and implementation of Agentic AI solutions focused on automating critical business processes, ensuring they address business needs and scale effectively across the enterprise. This includes designing and implementing Retrieval Augmented Generation (RAG) systems to enhance accuracy and contextuality, especially for financial data
  • Chatbot Development: Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources and unstructured data, leveraging GenAI for natural language understanding and generation in complex conversational flows
  • Document Processing & OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models
  • Text-to-SQL Implementation: Develop and deploy solutions leveraging Large Language Models to facilitate Text-to-SQL capabilities, enabling users to generate SQL queries from natural language requests, thus simplifying data access and analysis from structured databases
  • Data Analysis & Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities for data augmentation or synthetic data generation, particularly relevant for Agentic AI applications
  • Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference
  • Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps, incorporating GenAI and Agentic AI possibilities into discussions
  • System Enhancements & Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI and Agentic AI components seamlessly
  • Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI and Agentic AI where they can offer innovative solutions
  • Fulltime
Read More
Arrow Right

Audit Director – AI Technology, Cyber, Data and GenAI Engineering

The Audit Director – AI Technology, Cyber, Data and GenAI Engineering is a senio...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience in a related role
  • Experience in cyber security, technical architecture, cloud services and integration patters related to AI and GenAI applications
  • In-depth understanding of technical architecture, system engineering with AI/GenAI focus
  • Preferably with audit experience, subject matter expert in AI Technology, Cyber, Data and GenAI Engineering
  • Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar
  • AI-related certifications are a plus
  • Executive presence and expert in building and maintaining strong open relationships with executive stakeholders
  • Ability to quickly comprehend the full risk implications of complex global issues
  • Outstanding performer, open minded, resilient, agile, energetic, self-starter, articulate and empathetic whilst being confident to deliver opinions
  • Strong leadership skills including a track record of identifying and developing world class talent
Job Responsibility
Job Responsibility
  • Develop the strategy and direct the execution of a portfolio of concurrent assurance activities relating to AI Technology, Cyber, Data and GenAI Engineering
  • Act as a trusted subject matter experts on AI Technology, Cyber, Data and GenAI Engineering in financial services across the IA team
  • Partner with IA Technology and Business Enablement team to scale AI assurance across IA work programs
  • Lead and support AI audit engagements, ensuring that AI/GenAI systems are assessed against good architectural practices, security and safety design
  • Assessing GenAI platforms and tooling including vector databases, storage, orchestration frameworks, and GenAI-related infrastructure
  • Assessing security and safety controls for AI, GenAI and agentic AI implementation
  • Assessing approaches for red-teaming, safety testing, alerting
  • Assessing suitability of testing, reviews and validation of AI, GenAI and agentic AI from infrastructure, cyber security point of view
  • Assessing internal and external integration, use of AI / GenAI based APIs, gateways from stability, security point of view
  • Assessing GenAI observability and monitoring focusing on telemetry specific to GenAI and agentic systems
What we offer
What we offer
  • Generous holiday allowance starting at 27 days plus bank holidays
  • increasing with tenure
  • A discretional annual performance related bonus
  • Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Exclusive discounts for employees, family, and friends
  • Access to an array of learning and development resources
  • Fulltime
Read More
Arrow Right
New

Distinguished Engineer – AI Security

We're building a world of health around every individual — shaping a more connec...
Location
Location
United States , Scottsdale
Salary
Salary:
175100.00 - 334750.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 30, 2026
Flip Icon
Requirements
Requirements
  • 15+ years of AI experience, including significant depth in advanced technical or architectural roles
  • 5+ years of cybersecurity experience defining and integrating security standards and controls that aligned to established frameworks such as NIST CSF
  • Deep expertise in AI security concepts such as adversarial ML, secure model deployment, AI agent authorization, AI data loss protection, AI safety, and AI risk management
  • Strong background in Zero Trust architecture and hybrid infrastructure security
  • Demonstrated ability to lead and influence large-scale, cross-functional security initiatives
  • Hands-on experience building, deploying, and securing AI systems and platforms in enterprise environments
  • Practical experience applying AI security and risk management frameworks in real-world engineering contexts
  • AI Security Frameworks: MITRE ATLAS, NIST RMF, ISACA AI Audit Toolkit, and emerging ISO/IEC AI security standards
  • AI Technologies: Expert conceptual and hands-on implementation knowledge of core ML and generative AI technologies including transformer-based NLP, LLM-based generative AI and agentic AI
  • AI Risk Management & Model Security: Threat modeling, adversarial defenses, model lifecycle security, and vulnerability management
Job Responsibility
Job Responsibility
  • Define and help execute the enterprise AI security strategy, spanning secure model selection, development, and deployment criteria, adversarial threat mitigation, and alignment with emerging AI governance requirements
  • Design, build, and maintain reusable AI security frameworks, reference patterns, and technical standards for model integrity, secure data pipelines, and privacy-preserving machine learning
  • Perform hands-on security assessments of AI systems, identify risks, and provide mitigation guidance based on AI security posture management and detection findings
  • Drive innovation in AI security techniques, controls, and tooling through applied research and practical implementation
  • Apply and guide the application of AI security frameworks such as MITRE ATLAS, NIST RMF, and emerging ISO/IEC AI standards to secure the end-to-end AI lifecycle
  • Apply Zero Trust principles to hybrid and cloud infrastructure environments supporting AI workloads, including workload identity, segmentation, and continuous verification
  • Partner closely with Enterprise Architecture and Platform Engineering to integrate AI security controls into infrastructure design patterns and shared services
  • Guide and, where appropriate, directly implement security capabilities across on-premises and cloud platforms to ensure consistent protection for AI and traditional systems
  • Hands-on Engineering & Prototyping: Design and build proof-of-concept solutions, reference implementations, and reusable components to validate AI security and infrastructure security approaches
  • Framework and Pattern Development: Architect repeatable security patterns and guardrails that can be adopted by data science, engineering, and platform teams
What we offer
What we offer
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Fulltime
Read More
Arrow Right

AI Engineering Manager/Lead

Our customer's product is an AI-powered platform that helps businesses make bett...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
intellectsoft.net Logo
Intellectsoft
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience, including 3+ years in a technical leadership or engineering management role
  • Strong backend engineering experience in Python (FastAPI, Flask, or similar frameworks)
  • Hands-on experience building, integrating, and scaling GenAI / LLM-based systems, including prompt pipelines, model APIs, and agentic or workflow-based AI solutions
  • Experience building and operating AI-enabled or data-intensive systems in production
  • Proven ability to lead engineers while remaining technically credible
  • Experience owning architecture and delivery across multiple services
  • Comfortable operating in ambiguity and making pragmatic technical and delivery decisions
Job Responsibility
Job Responsibility
  • Own system-level architecture and technical decision-making across AI platforms and services
  • Guide design and implementation of backend services, APIs, and AI integrations
  • Ensure systems are scalable, secure, and production-ready
  • Provide technical direction on GenAI workflows, agentic systems, and service orchestration
  • Manage and mentor senior engineers, technical leads, and service owners
  • Set clear expectations around ownership, quality, and delivery
  • Support team growth through coaching, feedback, and development planning
  • Build a culture of strong engineering fundamentals, accountability, and collaboration
  • Own delivery outcomes across multiple parallel workstreams
  • Partner with product and delivery teams to plan, prioritize, and sequence work
What we offer
What we offer
  • Awesome projects with an impact
  • Udemy courses of your choice
  • Team-buildings, events, marathons & charity activities to connect and recharge
  • Workshops, trainings, expert knowledge-sharing that keep you growing
  • Clear career path
  • Absence days for work-life balance
  • Flexible hours & work setup - work from anywhere and organize your day your way
  • Fulltime
Read More
Arrow Right

Solutions Architecture Lead

Citi Wealth is a unified wealth organization delivering holistic wealth manageme...
Location
Location
United States , Irving
Salary
Salary:
156160.00 - 234240.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in large-scale financial services, preferably in Wealth Management or Investments
  • Expertise in enterprise architecture, investment platforms, digital servicing, and AI/ML technologies
  • Strong understanding of Generative AI, LLMs, RAG systems, and AI governance frameworks
  • Proven leadership experience managing teams, budgets, and complex portfolios
  • Excellent communication skills with ability to influence senior leaders
  • Strong analytical, prioritization, and decision-making capabilities
  • Bachelor’s degree required
  • Master’s degree preferred
  • Cloud Platforms: AWS, GCP, Azure (enterprise cloud adoption, multi-cloud strategy)
  • Containerization & Orchestration: Kubernetes, EKS/GKE/AKS, Docker
Job Responsibility
Job Responsibility
  • Lead architecture teams across Wealth Investments, Digital Servicing, and AI/ML platforms
  • Define multi-year architecture strategy aligned to business priorities
  • Own portfolio-level roadmaps covering investments, digital journeys, advisor tools, AI copilots, and omni-channel servicing
  • Architect and scale GenAI capabilities across Wealth
  • Lead design for platforms supporting portfolio construction, model portfolio management, managed accounts, and discretionary mandates
  • Own architecture for digital wealth and banking servicing
  • Establish and enforce architectural standards, design patterns, cloud practices, and AI/ML controls
  • Partner with senior leadership across Wealth Investments, Digital Servicing, Product, Operations, and Advisor organizations
  • Manage multiple architecture teams including hiring, performance management, budget planning, and talent development
  • Ensure compliance with Citi’s risk, cybersecurity, AI governance, data privacy, and model risk management standards
What we offer
What we offer
  • Discretionary and formulaic incentive and retention awards
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • Fulltime
Read More
Arrow Right