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

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
New

Lead Software Engineer

Responsible for engineering, scaling, and evolving the unified enterprise portal...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
February 10, 2026
Flip Icon
Requirements
Requirements
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5 years proven experience in building large-scale platform or developer experience products.
  • Strong technical expertise in backend engineering, frontend modular architecture, cloud-native design, and enterprise integration patterns.
  • Experience with CI/CD, API platforms, event-driven architectures, and secure development practices.
  • Background in developer platforms, self‑service automation, or internal engineering portals preferred.
  • Understanding of multi-language engineering ecosystems and framework modernization patterns.
  • Experience with enterprise developer portals like Backstage, or modular frontend frameworks.
  • Familiarity with security tools (BlackDuck, CheckMarx, ThreadFix), vulnerability pipelines, and compliance workflows.
  • Exposure to GenAI integrations in developer tooling or SDLC automation.
Job Responsibility
Job Responsibility
  • Design, build, and enhance core components of the IDP including self‑service onboarding, dashboards, developer tools integration, dependency graphing, and workflow orchestration.
  • Develop modular frontends, micro‑frontends, and service integrations that enable a seamless, unified experience for developers, platform engineers, engineering managers, and product owners.
  • Engineer robust backend services that support entitlement management, secure access, app manifest visibility, release automation, and infrastructure provisioning.
  • Build intuitive self‑service experiences that streamline provisioning of tools, environments, infrastructure, libraries, and accelerators.
  • Integrate with enterprise systems such as Developer Portal, ELP, Orchestra, API Portal, JIRA, AppVision, BlackDuck, CheckMarx, ThreadFix, and CICD platforms.
  • Reduce friction by unifying multi‑step developer workflows across onboarding, code authoring, CI/CD job creation, observability integration, approvals, and deployment.
  • Build and maintain reusable libraries, templates, accelerators, and self‑service provisioning tools that simplify adoption of CTO products and services via the IDP.
  • Ensure that all framework and portal components adhere to organizational security, compliance, and governance standards.
  • Collaborate with Paramasamy, Sivamurugan’s EFU teams to align IDP-integrated accelerators with Orchestra frameworks across Java, .NET, Angular, React, Node.js, and Python.
  • Integrate vulnerability management workflows, NFR validation, and secure-by-default patterns into the IDP platform.
  • Fulltime
!
Read More
Arrow Right

Staff Software Engineer, AI & Automation

Mozilla is seeking a Staff Software Engineer to lead the next evolution of Servi...
Location
Location
United States; Canada
Salary
Salary:
128000.00 - 171000.00 CAD / Year
mozilla.org Logo
Mozilla
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years in IT engineering, enterprise applications, or service delivery
  • ITIL 4 Foundations certification (required)
  • Comfortable leading incident, problem, and change management (ITIL), measuring SLAs/SLOs, and using data to drive continuous service improvements
  • Demonstrated success owning platforms end-to-end, including lifecycle management, integrations, and adoption
  • Advanced proficiency in Python scripting — with proven experience developing, optimizing, and maintaining automation frameworks, APIs/webhooks, and integration logic across enterprise tools
  • Strong automation & scripting skills in one or more of: Python
  • with experience building APIs/webhooks, workflow engines, and chatbots
  • Advanced experience in AI & automation platforms (GenAI copilots, RPA, intelligent workflows), including security and governance guardrails for safe adoption
  • A builder’s mindset: bias for automation and documentation, empathy for end users, and a willingness to mentor Service Desk colleagues
  • Strong program/project management skills with proven ability to independently deliver initiatives
Job Responsibility
Job Responsibility
  • Roll out new collaboration and Enterprise GenAI capabilities: run pilots, manage change/comms, create guides, and deliver training that drives adoption and safety
  • Design and ship automations (scripts, workflows, chatbots, AI agents) to streamline provisioning/deprovisioning, entitlements, group lifecycle, and tier-1 deflection
  • Build monitoring and alerting for SaaS health and key workflows
  • lead incident, problem, and change practices to reduce MTTR and prevent recurrences
  • Define SLAs/SLOs, instrument CSAT and operational metrics, and run regular service reviews that turn data into improvements
  • Serve as technical escalation for complex tickets: drive resolution, perform root-cause analysis, and capture knowledge to uplevel the Service Desk
  • Maintain clean, current documentation: runbooks, KB articles, architecture diagrams, and admin playbooks
  • Champion a 'shift-left' model: expand self-service portals, guided flows, and AI virtual agents to improve velocity and user experience
  • Enterprise AI Security & Governance: implement guardrails for AI/automation usage, including access controls, data handling policies, compliance alignment, and ongoing risk monitoring
  • Cross-Functional Partnership: collaborate with People, Security, Finance, Legal, and Procurement to ensure platforms align with organizational goals
What we offer
What we offer
  • Generous performance-based bonus plans to all eligible employees
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
  • Quarterly all-company wellness days where everyone takes a pause together
  • Country specific holidays plus a day off for your birthday
  • One-time home office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, AI & Automation

Mozilla is seeking a Staff Software Engineer to lead the next evolution of Servi...
Location
Location
United States
Salary
Salary:
138000.00 - 217000.00 USD / Year
mozilla.org Logo
Mozilla
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years in IT engineering, enterprise applications, or service delivery
  • ITIL 4 Foundations certification (required)
  • Comfortable leading incident, problem, and change management (ITIL), measuring SLAs/SLOs, and using data to drive continuous service improvements
  • Demonstrated success owning platforms end-to-end, including lifecycle management, integrations, and adoption
  • Advanced proficiency in Python scripting — with proven experience developing, optimizing, and maintaining automation frameworks, APIs/webhooks, and integration logic across enterprise tools
  • Strong automation & scripting skills in one or more of: Python
  • with experience building APIs/webhooks, workflow engines, and chatbots
  • Advanced experience in AI & automation platforms (GenAI copilots, RPA, intelligent workflows), including security and governance guardrails for safe adoption
  • A builder’s mindset: bias for automation and documentation, empathy for end users, and a willingness to mentor Service Desk colleagues
  • Strong program/project management skills with proven ability to independently deliver initiatives
Job Responsibility
Job Responsibility
  • Roll out new collaboration and Enterprise GenAI capabilities: run pilots, manage change/comms, create guides, and deliver training that drives adoption and safety
  • Design and ship automations (scripts, workflows, chatbots, AI agents) to streamline provisioning/deprovisioning, entitlements, group lifecycle, and tier-1 deflection
  • Build monitoring and alerting for SaaS health and key workflows
  • lead incident, problem, and change practices to reduce MTTR and prevent recurrences
  • Define SLAs/SLOs, instrument CSAT and operational metrics, and run regular service reviews that turn data into improvements
  • Serve as technical escalation for complex tickets: drive resolution, perform root-cause analysis, and capture knowledge to uplevel the Service Desk
  • Maintain clean, current documentation: runbooks, KB articles, architecture diagrams, and admin playbooks
  • Champion a 'shift-left' model: expand self-service portals, guided flows, and AI virtual agents to improve velocity and user experience
  • Enterprise AI Security & Governance: implement guardrails for AI/automation usage, including access controls, data handling policies, compliance alignment, and ongoing risk monitoring
  • Cross-Functional Partnership: collaborate with People, Security, Finance, Legal, and Procurement to ensure platforms align with organizational goals
What we offer
What we offer
  • Generous performance-based bonus plans
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting
  • Quarterly all-company wellness days
  • Country specific holidays plus a day off for your birthday
  • One-time home office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

Design, architect, and implement scalable Generative AI frameworks and tools wit...
Location
Location
Colombia
Salary
Salary:
Not provided
parserdigital.com Logo
Parser Limited
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience implementing solutions using Azure OpenAI Service (GPT 3.5/4) or similar LLMs
  • Strong understanding of prompt design, embeddings, fine-tuning, and RAG (Retrieval-Augmented Generation) workflows
  • Experience building document-centric AI applications, including summarization, classification, redaction, or content generation
  • Familiarity with vector databases and semantic search pipelines for contextual data retrieval
  • Hands-on experience designing LLM-based architectures that combine generative reasoning with structured data
  • Experience defining AI frameworks, SDKs, or internal developer tools for reusable AI capabilities
  • Proven experience with low-code/no-code platforms such as Power Automate, Power Apps, Logic Apps, or other workflow orchestration tools
  • Ability to integrate LLM capabilities into enterprise environments, balancing scalability, maintainability, and usability
  • Understanding of prompt orchestration, pipeline automation, and governance controls for GenAI systems
  • Deep familiarity with Microsoft Azure services: Azure OpenAI Service, Azure Cognitive Search, Azure AI Studio / Azure Machine Learning, Azure Functions, Azure Logic Apps, and Azure DevOps
Job Responsibility
Job Responsibility
  • Architect and implement a GenAI framework to enable internal teams to build and deploy document processing and NLP solutions with minimal coding effort
  • Lead the design and configuration of low-code/no-code AI development environments, integrating Azure OpenAI and Microsoft Cognitive Services
  • Define and implement AI architecture patterns, reusable components, and governance standards for scalable AI adoption
  • Collaborate with Tech Leaders and Engineering Leads to shape the AI technology roadmap, identifying opportunities for innovation and efficiency through GenAI
  • Build proofs of concept (POCs) that demonstrate new GenAI capabilities—such as document summarization, text generation, or automated content workflows
  • Support integration between GenAI tools and existing .NET-based systems, APIs, and enterprise data sources
  • Define AI model lifecycle standards including prompt engineering, versioning, data sourcing, and quality validation
  • Contribute to technical strategy discussions around model selection, cloud infrastructure, and tool evaluation
  • Coach and support engineers and business stakeholders in adopting and extending GenAI-based solutions
  • Fulltime
Read More
Arrow Right

Vice President, Emerging Technology

BHSI has an exciting opportunity for a visionary and execution-focused senior le...
Location
Location
United States , Boston
Salary
Salary:
275000.00 - 325000.00 USD / Year
bhspecialty.com Logo
Berkshire Hathaway Specialty Insurance
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 15 years’ experience leading and managing a high performing engineering teams
  • Proven experience defining and executing enterprise-level AI strategies, ideally within regulated industries such as insurance or financial services
  • General familiarity with underwriting, claims, actuarial models, and regulatory frameworks specific to the property and casualty insurance industry
  • Strong foundation in AI, Machine Learning, and GenAI technologies, including model development, Large Language Models, deployment, and lifecycle management
  • Experience collaborating with enterprise and business architecture teams to ensure scalable, secure, and integrated AI solutions
  • Knowledge of data privacy laws (e.g., GLBA, CCPA), model transparency, and ethical AI practices relevant to insurance
  • Demonstrated ability to partner with business leaders, technology functions, compliance, and data teams to drive AI adoption and innovation
  • Experience managing AI vendors, open-source tools, and external partnerships to accelerate capability development
  • Ability to lead organizational change, upskill teams, and foster a culture of innovation and continuous learning
  • Strong skills in identifying, prioritizing, and quantifying the value of AI use cases aligned with business objectives
Job Responsibility
Job Responsibility
  • Define and lead the enterprise AI team, aligning with business goals and technology vision
  • Build and scale internal AI (Predictive AI / GenAI / Agentic AI) capabilities, including platforms, tools, and talent development
  • Identify, prioritize, and lead high-impact AI use cases across business functions
  • Partner with Enterprise Architecture, Business Architecture, and Cybersecurity to ensure AI solutions are scalable, secure, and integrated
  • Serve as a thought leader and internal evangelist for responsible AI adoption and innovation
  • Establish governance frameworks for ethical AI use, model transparency, and risk management
  • Collaborate with functional leaders to embed AI into core business processes and decision-making
  • Oversee vendor partnerships, open-source contributions, and external collaborations in the AI ecosystem
  • Monitor emerging trends in AI and assess their relevance and applicability to the company
  • Develop and manage a roadmap for AI capability maturity, including KPIs and success metrics
What we offer
What we offer
  • Comprehensive Health, Dental and Vision benefits
  • Disability Insurance (both short-term and long-term)
  • Life Insurance (for you and your family)
  • Accidental Death & Dismemberment Insurance (for you and your family)
  • Flexible Spending Accounts
  • Health Reimbursement Account
  • Employee Assistance Program
  • Retirement Savings 401(k) Plan with Company Match
  • Generous holiday and Paid Time Off
  • Tuition Reimbursement
  • Fulltime
Read More
Arrow Right