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Capgemini Government Solutions (CGS) LLC is seeking a highly motivated and experienced ServiceNow Platform Architect to join our team and collaborate with our government clients. The successful applicant will lead the design, development, and implementation of the ServiceNow solution, ensuring seamless integration with our collaborators. Applicants will have the opportunity to utilize and grow their skills, work with a motivated and creative team, engage with different partners, and improve CGS' ability to assist our clients. Job Responsibilities As a ServiceNow Platform Architect, you will: Map business requirements and determine integration needs. Craft and develop architectural plans for ServiceNow solutions Build and maintain technical documentation. Define and manage CMDB architecture, data model, and CI lifecycle (Discovery, Service Mapping, integrations). Lead implementation of ITOM capabilities including Discovery, Event Management, and Service Mapping. Architect and implement SPM (Strategic Portfolio Management) for demand intake, prioritization, and value tracking. Integrate and enable Now Assist (GenAI) capabilities across ServiceNow workflows. Establish platform governance, data quality standards, and AI/automation guardrails. Design and implement integrations with cloud platforms (AWS, Azure) and enterprise systems. Required Qualifications: U.S. Citizenship is required. Having and maintaining an active Government Security Clearance. Associate degree or equivalent experience. Must be able to work multiple tasks in a team-based environment. 6+ years of experience creating technical solutions at an Architectural level of ServiceNow based projects 6+ years of experience with a fundamental understanding of either ITSM, ITIL, HAM, SAM, Discovery, CMDB and overall platform knowledge. 6+ years of experience on the ServiceNow as a Developer with advanced JavaScript development as well as skills creating and utilizing flows and actions in Flow Designer 6+ years of experience in Service Portal and AngularJS including custom widget development, extension of OOB widgets and utilization of 3rd party libraries within ServiceNow Hands-on experience with CMDB design, governance, and data quality management. Experience implementing ITOM (Discovery, Service Mapping, Event Management). Experience with SPM (Demand Management, Portfolio Planning, Financial tracking). Experience enabling or supporting Now Assist / AI capabilities within ServiceNow. Strong understanding of ServiceNow integrations (REST APIs, Integration Hub, MID Server). Required Certifications: Certified System Administrator, Certified Application developer Desired Qualifications: Preferred Certifications: CIS - Data Foundations (CMDB & CSDM), Discovery; Service Mapping; Event Management, ITSM, SPM Strong communication and team-building skills Strong test writing skills. Proven experience with ServiceNow platform and modules. Advanced JavaScript development and troubleshooting skills. Experience with AI governance and automation capabilities within ServiceNow (e.g., Now Assist). Experience integrating ServiceNow with cloud environments (AWS, Azure). Experience working in federal environments with security and compliance requirements. Ability to align platform capabilities to business outcomes and mission needs. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $150k - $170k. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Duration: 6+ Months Contract with possible extension Required Skills & Experience: 7+ years of overall software engineering experience, with 2+ years in AI / LLM / Generative AI. Strong hands-on experience with the ServiceNow platform and its AI/ML capabilities. Experience designing and deploying Now Assist skills, domain specific prompts, and RAG based solutions. Proven ability to build AI Agents and agentic workflows, including orchestration, guardrails, and multi step automation. Experience architecting MCP servers to securely expose ServiceNow data, workflows, and APIs to external AI models. Hands-on experience building Claude skills and connectors to enable AI driven ServiceNow actions (record creation, case triage, data retrieval). Ability to integrate AI features into ServiceNow workspaces, portals, Flow Designer, Integration Hub, and custom applications. Roles & Responsibilities: Design, develop, and deploy AI-powered solutions on the ServiceNow platform, leveraging Generative AI, LLMs, and automation capabilities. Build and implement AI agents, RAG-based solutions, and intelligent workflows with proper orchestration and guardrails. Develop and optimize domain-specific prompts, Now Assist skills, and AI-driven use cases for enterprise workflows. Integrate AI capabilities into ServiceNow components such as Flow Designer, Integration Hub, portals, and custom applications. Collaborate with cross-functional teams to ensure secure, scalable, and performant AI solutions, including API integrations and data exposure. Disclaimer: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

Python Gen AI Developer- Multiple Roles Hourly Pay Rate: $30-35- /hr.- W2 Location: Dallas TX Onsite for all 5 days/week Onsite interview. Immediate start Job Description Hands on exp with Python, PySpark/spark, NoSQL (MongoDB), Data bricks, data lake, azure cloud Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design. DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc. LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks. Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. LLM Fine tuning experience Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs. Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph. API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows. Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.

Staff Software Engineer (AI Applications) Location: Beachwood, OH. Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) Summary Statement: As a senior member of the Software Engineering team, you will lead diverse development teams on large complex projects by defining and implementing architectures and strategies that will create our next generation of innovative solutions for our customers. The ideal candidate will use AI in Application Development and AI tools to solve problems. What You Will Be Doing: As a staff software engineer, you will take on a leadership role in defining IT process & technology strategies with senior management. By incorporating new emerging technologies and trends, and taking into consideration our existing architecture and strategies you will create, enhance, and optimize our customer solutions roadmaps. Providing cross-functional leadership and working with business leaders, architects and software engineers you will design and build high performing and scalable systems. Penske Responsibilities: • Leadership role in defining IT Process and Technology strategies, familiarity with emerging technology trends, defining a roadmap and building consensus with Senior IT Leadership. • Meeting with Senior & Mid-Level Management to align business process initiatives and strategies with current and planned Penske Technology Architecture. • Team leadership in the evaluation of Application Development Tools/Techniques/ Approaches, determine impact on strategic objectives, and manage overall implementation. • Lead team to resolve complex technical problems (that may consist of multiple tiers of technology and/or communications/integration layers) and develop/implement corrective measures. • As part of recommending a technical solution, evaluate and research third-party packages and recommend customization and deployment opportunities. • Participate as a senior member of the Technology team with a diverse set of skills to help make technology decisions, mentor and supervise other developers, to make technical decisions and contribute to technical future of the company. • Assist with the architectural design of projects, provide expertise to project teams and ensure adherence to established architectural standards and principles. • Evaluate and champion the integration of AI/ML capabilities into existing and new solutions, identifying opportunities to leverage large language models, generative AI tools, and intelligent automation to enhance customer and business outcomes. • Champion DevOps culture and practices, driving CI/CD pipeline strategy, infrastructure as code, automated testing, and continuous improvement across the software delivery lifecycle using Azure DevOps. • Develop training curriculum to keep developers up to date on techniques, processes & technology. • Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology Penske Qualifications: • Bachelor's Degree in Computer Science/Computer Engineering. • 12+ years' experience of appropriate programming languages (C#, .NET/ASP.NET Core) and core frameworks/technologies • 5+ years defining application architecture and system integration requirements on multi-tiered application systems. • 5+ years of experience with distributed database environments and related database concepts. • 5+ years leading multiple large software projects using the Agile development methodology. • Diverse experience in architecting solutions for on premise and cloud deployments • Full stack development experience in technologies such as React, Angular, jQuery, JavaScript, .NET Core, ASP.NET MVC, Entity Framework, RESTful API's. • Familiarity with AI/ML frameworks, tools, and platforms (e.g., Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services) and experience integrating AI-driven features into enterprise applications. • 3+ years of hands-on experience with Azure DevOps, including CI/CD pipeline development, release management, and infrastructure as code using tools such as Bicep or Terraform. • Experience in working with the testing team on automation and load testing. • Broad exposure to enterprise technologies and systems. • Able to communicate highly technical concepts in clear/concise manner to non-technical individuals. • Experience prioritizing technology needs within set budget requirements. • Excellent interpersonal and decision-making skills. • Regular, predictable, full attendance is an essential function of the job. • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: • The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must regularly lift and /or move up to 25lbs/12kg. • Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. • While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Function: Software Engineering Job Family: Information Technology Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements

Senior AI Engineer - Google AI & Generative Intelligence Job Number: 26-00855 Ready for a rewarding opportunity in the Financial Services Industry? ECLARO is looking for a Senior AI Engineer - Google AI & Generative Intelligence for our client in Paramus, NJ. ECLARO's client is a market-leading insurance company, providing property, casualty, and specialty insurance services within the United States. If you're up to the challenge, then take a chance at this rewarding opportunity! Position Overview: A highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI. Brings 10-15 years of broad software engineering experience, with the last 4 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices. Responsibilities: Large & Small Language Model Engineering: Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks. Work with open-source/self-hosted LLMs including Mixtral (Mistral AI). Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments. Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA. Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development. Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks. Google AI & Workspace Integration: Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse. Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK). Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping. Utilize Google Cloud Platform (GCP) services including: Vertex AI for ML model training, tuning, and deployment GKE (Google Kubernetes Engine) for container orchestration Cloud Run for serverless deployment Cloud Functions for event-driven AI tasks Vertex AI Vector DBs for semantic search and retrieval Design & Planning: Lead requirements gathering using Confluence for documentation and team collaboration. Create detailed system architecture diagrams and AI workflows using Lucidchart. Design UI/UX prototypes in Figma for AI-powered application interfaces. Manage project delivery and sprint planning using Jira. Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows. Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing. Leverage Hugging Face Model Hub for model comparison, selection, and download. Development Frameworks & Tools: Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph. Build multi-agent systems with Semantic Kernel, and LangGraph. Manage and optimize prompts using LangSmith and PromptLayer. Deploy models locally with Ollama or at scale with vLLM for efficient inference. Track experiments, metrics, and results with MLflow or Weights & Biases. Manage code and data versioning with Git. Vector Databases & Semantic Search: Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB. Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval. Backend Development: Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js). Manage and secure APIs using Mulesoft, Apigee. Frontend Development: Build modern user interfaces using React or Angular. Utilize Material-UI for consistent, accessible, and modern UI components. Prototype and plan UI/UX workflows using Figma. Development Tools & Code Quality: Write and debug code in VS Code with Python and GitHub Copilot extensions. Leverage GitHub Copilot for AI-assisted code suggestions and productivity. Manage source code with GitHub or GitLab. Enforce code quality and standards using SonarQube, ESLint, and Pylint. Testing & Quality Assurance: Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation. Use LangSmith Evaluators for prompt testing and hallucination detection. Write and execute unit tests using pytest. Ensure output quality and reliability using LangChain Evaluators and custom metrics. Deployment & Infrastructure: Orchestrate containers at scale with Kubernetes (K8s), and Google GKE. Automate CI/CD pipelines using GitHub Actions or GitLab CI. Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference. LLM Monitoring & Observability: Monitor LLM performance and usage with LangSmith and Weights & Biases. Track and optimize AI infrastructure costs using OpenMeter and custom dashboards. Set up continuous evaluation pipelines to ensure ongoing model quality and reliability. Monitor application and model performance end-to-end with LangSmith observability tools. Required Qualifications: 10-15 years of overall software engineering experience. 5 years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems. Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations. Proficiency in Python (primary) and familiarity with Node.js. Strong background in cloud-native development on GCP. Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks. Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices. Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph. Preferred Qualifications: Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect). Contributions to open-source AI/ML projects. Experience with edge AI deployments and hybrid cloud-edge inference. Familiarity with synthetic data generation pipelines. Prior experience mentoring junior engineers or interns in AI/ML domains. If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Henry Zuniga Henry Zuniga LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Capgemini Government Solutions (CGS) LLC is seeking a PKI/PKE Engineer to support mission critical government clients. The ideal candidate will collaborate with a high performing team, engage with a broad range of stakeholders, and play a key role in expanding CGS capabilities while continuing to grow their technical and consulting expertise. PKI/PKE Engineer will be tasked to design, implement, and operate systems that enable secure digital identity and data confidentiality. This role serves as the technical lead for Certificate Authorities (CAs), Hardware Security Modules (HSMs), and the integration of encryption services across enterprise workflows. Responsibilities Architect and maintain multi-tier Certificate Authority hierarchies (Root, Subordinate, and Issuing CAs) using Microsoft ADCS, Entrust, or DigiCert. "Enable" applications (Web, Mobile, IoT) to use certificates for S/MIME email encryption, TLS/SSL, and 802.1X network authentication. Implement and manage Certificate Lifecycle Management (CLM) tools like Venafi, Keyfactor, or AppViewX to automate renewals and prevent outages Manage the physical and logical lifecycle of Hardware Security Modules (HSMs) such as Thales/nCipher or Utimaco. Draft and enforce the Certificate Policy (CP) and Certification Practice Statement (CPS) to ensure legal and regulatory compliance (e.g., FIPS 140-2/3). Lead the transition to Post-Quantum Cryptography (PQC) algorithms to protect against "harvest now, decrypt later" threats. Act as the SME for certificate-related outages, compromised keys, or emergency revocation (CRL/OCSP) procedures. Requirements Minimum of 3+ years of progressive experience in PKI/PKE administration Bachelor's degree in computer science, or a related field. Deep understanding of asymmetric/symmetric encryption, hashing algorithms (SHA-256/384), and protocols (OCSP, SCEP, EST, CMP). Proficiency in PowerShell, Python, or OpenSSL for automating certificate requests and inventorying. Familiarity with X.509, NIST SP 800-53/175, and RFC 5280. Ability to obtain Secret level government security clearance / Active clearance preferred Ability to obtain CompTIA Security+ / Active certification preferred About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $100k-$120k. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Role: AI Architect Location Jersey City, NJ - Onsite role Full Time/ FTE Independent Banking domain We are seeking a highly accomplished Enterprise Architect with deep expertise in Artificial Intelligence, Generative AI, Cloud-native architectures, and Emerging Technologies. This role is responsible for defining and governing enterprise-wide architectures, leading complex technology transformations, and translating cutting-edge innovation into scalable, business-impacting platforms. The ideal candidate brings extensive experience designing AI-first enterprise platforms, leading global architecture teams, and shaping long-term technology strategy across financial services and large enterprises. Key Responsibilities Enterprise Architecture & Technology Strategy Define and own enterprise-level architecture for AI, GenAI, data, and cloud platforms Establish reference architectures, standards, and governance models for scalable, secure, and compliant solutions Provide architectural leadership for complex, multi-year digital and AI transformation programs Serve as a trusted advisor to senior executives on technology vision, roadmap, and innovation strategy AI, GenAI & Advanced Analytics Architect Generative AI platforms including: Large Language Models (LLMs) Retrieval Augmented Generation (RAG) Vector databases, semantic search, and knowledge graphs Agentic and workflow-driven AI systems Drive adoption of AI across enterprise functions (e.g., HR, Finance, Tax, Insurance, Operations) Lead architecture and design for AI/ML model lifecycle, MLOps, explainability, and model governance Evaluate and integrate emerging AI technologies through PoCs and production-grade solutions Cloud, Data & Platform Architecture Design cloud-native SaaS architectures leveraging: Microservices and containerization Messaging and event-driven architectures Multi-tenancy and scalable data platforms Lead architecture for big data, real-time analytics, and AI-enabled platforms Ensure alignment with security, privacy, compliance, and enterprise IT standards Leadership & Collaboration Lead and mentor senior architects, AI engineers, and data scientists across global teams Partner closely with business and technology stakeholders Product Engineering, Product Management, Research, and Business Strategy teams Drive technology transfer from research and innovation into enterprise products and platforms Guide cross-functional teams from concept through delivery and commercialization Innovation & Emerging Technologies Identify, evaluate, and incubate emerging technologies including: Blockchain Computer Vision Quantum Computing Data-frugal AI and Explainable AI Champion innovation through internal platforms, testbeds, and reusable architecture assets Support IP creation through patents, technical publications, and thought leadership Required Qualifications Education PhD in Computer Science or related field (strongly preferred) Undergraduate degree in Computer Science or Engineering Experience 15+ years of experience in enterprise and solution architecture, with significant leadership scope Proven track record as Enterprise / Chief / Principal Architect in large, complex organizations Hands-on experience architecting AI/ML and GenAI platforms at enterprise scale Experience working with financial services or highly regulated industries preferred Technical Expertise AI/ML, Generative AI, LLMs, RAG, Knowledge Graphs Cloud-native architecture (microservices, containers, SaaS) Big Data, real-time analytics, NLP, computer vision MLOps, model explainability, and AI governance Blockchain and emerging technology integration Leadership & Soft Skills Strong technology vision and strategic thinking Ability to communicate complex architecture concepts to executive and non-technical stakeholders Proven people leader with experience scaling and mentoring high-performance teams Comfortable operating at the intersection of research, architecture, and business outcomes Nice to Have Published research or significant patent portfolio Experience leading innovation or R&D organizations Exposure to quantum computing or next-generation AI platforms

Lead AI Engineer (Onsite 3 Days/Week - Durham, NC) We're supporting a fast-growing, tech-forward company that is building a brand-new AI function from scratch. They're looking for a rare blend of software engineer turned AI engineer - someone who has shipped real AI solutions into production and can guide teams on how to do it right. This is a high-impact, thought-leadership role where you'll architect solutions, mentor engineering teams, and serve as the internal expert on all things AI. You'll work directly with the CTO to define the roadmap and bring AI-driven capabilities into core products. Drive AI Strategy & Execution Partner with the CTO to launch and scale a new AI-focused group within the organization Define the mission, priorities, and early deliverables for the company's AI initiatives Serve as the primary technical authority on AI architecture, tooling, and best practices Design & Deploy Production-Ready AI Solutions Build and ship LLM-powered applications, RAG pipelines, and intelligent APIs Deliver AI-driven features across web, mobile, and enterprise systems Integrate AI capabilities into existing products in partnership with software engineering teams Ensure solutions are scalable, secure, and aligned with business goals Mentor, Influence & Elevate Engineering Teams Coach developers on AI fundamentals, workflows, and implementation patterns Identify skill gaps and help build AI fluency across the engineering organization Act as a bridge between product, engineering, data, cybersecurity, and legal teams Shape Responsible AI Practices Collaborate with cross-functional partners to establish governance, ethics, and transparency standards Help define internal guidelines for safe, compliant, and responsible AI adoption What Makes This Role Unique You're the AI leader - the company's go-to expert You'll build from zero - no legacy AI systems to inherit You'll influence product direction - not just model tuning You'll work directly with the CTO - high visibility, high impact What You Bring Required Background 5+ years in software engineering or AI product development At least one production-deployed AI solution and strong understanding of the full development lifecycle Hands-on experience with: Generative AI / LLMs (GPT, Claude, Llama, etc.) LangChain, Hugging Face, LlamaIndex RAG architectures and vector databases AWS (Bedrock, Lambda, S3, etc.) Full-stack development (React, Node.js, Python, etc.) SQL/NoSQL data platforms REST API design Entrepreneurial mindset; comfortable in a fast-moving, build-as-you-go environment Bachelor's degree in Computer Science or related fieldNice to Have Experience in insurance, financial services, or fintech (not required) Experience mentoring or leading engineering teams Prior work in a "startup within an enterprise" environment What's Offered Competitive salary (DOE) Full benefits package High-visibility role with direct access to executive leadership Opportunity to build a new AI function from the ground up Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Position: Principal Application Security Architect Gen AI Location: Charlotte, NC / Dallas, TX / Columbus, OH / Chandler, AZ Duration: 12 months Job ID: 176330 Only W2 Job Description: Overview: Client is seeking a highly skilled and experienced Application Security Architect with expertise in Generative AI (Gen AI) platforms and environments to join client's team. The Security Architect will be responsible for designing, implementing, and maintaining robust security solutions in Gen AI driven ecosystems. This role involves collaborating with various teams to ensure the security of AI based applications, services, and infrastructure, while adhering to industry best practices and compliance standards. Key Responsibilities: Develop and implement comprehensive security architectures and frameworks for Gen AI based systems, including identity and access management, data protection, model security, network security, and logging/monitoring. Conduct security assessments, threat modeling, and risk analysis of Gen AI environments to identify potential vulnerabilities. Develop and implement strategies to mitigate risks. Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, AI Act) within Gen AI environments. Establish and enforce security policies and procedures. Advocate for and implement security best practices across all AI/ML environments. Stay updated with the latest security threats, trends, and technologies, particularly those related to Gen AI and large language models (LLMs). Qualifications: Strong understanding of Gen AI platforms and security services, including model lifecycle security, data governance, access controls, adversarial threat defense, and AI monitoring/observability. Experience with security frameworks such as CIS, NIST, ISO 27001, OWASP, and familiarity with AI security best practices. Relevant certifications such as CISSP, CISM, CCSP, or AI security focused certifications are highly desirable. Excellent communication and collaboration skills, with the ability to work effectively across teams and stakeholders. Pay Range: $90 - $100 on W2 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at

TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years. TECHNOGEN is a Small and Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD and Offshore development centers in India. We have successfully executed 100 projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies. Hi, Greetings of the day! We are looking to Hire a Talented Professional for the below Job opportunity with one of our clients, If you're interested, please share your updated resume at your earliest convenience, and I'll be happy to provide more details about the role. Position: Senior Cloud Engineer Location: Concord, CA (Onsite) Duration: Long Term Note: Local candidates only There will be 2 client rounds; 1 virtual and 1 in person. Job Description: The ideal candidate brings strong experience in Linux, DevOps, CI/CD pipelines, infrastructure as code (Terraform), containerization (Docker, Kubernetes, OpenShift), cloud platforms (GCP, Azure), AI/ML operations, and cloud native toolchains. Additional strengths include hands on Generative AI/LLM capabilities, vector databases, observability stacks, and leading technically complex discussions. Strong analytical, problem-solving, and communication skills are essential. In this role, you will: Contribute to Generative AI platform development, including delivering AI/ML models to on prem and cloud platforms such as GCP Vertex AI and Azure ML. Participate in daily Agile standups, provides SME guidance to data science teams Collaborates closely with engineering, platform, and strategy teams to define infrastructure requirements and support cloud migration. Leads large scale, complex technology initiatives and helps establish enterprise-wide engineering standards and best practices Design test, debug, and document for projects and programs. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Research industry trends, evaluates new technologies, and drives the adoption of automation first practices Participate in developing Generative AI Platform Capabilities. Act as an expert resource for other technical teams within DTI. Minimum requirements: 4 years of build-deploy automation and configuration experience within the Linux and Unix environment. 4 years of Gradle or Maven experience. 4 years of experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure). 4 years of experience with Linux OS environment. 3 years of Python experience. 3 years of experience with server administration and job creation using Jenkins Continuous Integration server, Github Actions. 3 years of experience with DevOps practices in an enterprise environment including CI/CD pipelines and DevOps-focused collaboration. 3 years of experience with Terraform including module engineering, state management, and execution in an enterprise environment. 3 years of proficient to advanced experience with IaC (infrastructure as code) processes and tooling in an enterprise environment. 3 years of experience with Google Cloud Platform (GCP) including management of GCP resources with Terraform in an enterprise environment. 3 years of proficient to advanced experience with git/github. 2 years of experience in LLM , Generative AI (developing capabilities for dev/ops). 2 years of experience in Elastic Search, Vector Database, Model Development would be added benefit. 2 years of experience with Terraform Cloud/Terraform Enterprise in an enterprise environment. 2 years of experience supporting AIML solutions in an enterprise environment (GCP preferred but Azure also useful). 3 years of experience with docker/container image development. Preferred Skills: Understanding of Urban Code Deploy (UCD) or Harness CD tools. Associate cloud engineer certification for GCP (or better GCP certification). Knowledge and understanding of Cloud computing, PaaS design principles and micro services and containers. Working knowledge/experience with Azure and/or GCP, as well as some experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.). Working knowledge/experience with on-premises and Public Cloud technologies, such as Cloud Foundry, Kubernetes, Docker. Experience in leading / facilitating analysis of current systems and problem identification and resolution. Ability to lead / facilitate technically complex discussions and working sessions. Ranjitha P Sr. IT Recruiter Source Code Management (SCM) and DevOps-Continuous Integration/Continuous Deployment (CI/CD)-Terraform

AI Architect Job Number: 26-00889 Find your next opportunity in the Financial Services Industry. ECLARO is looking for an AI Architect for our client in Remote, MA. ECLARO's client's provides retirement savings, health & investment management and insurance services. If you're up to the challenge, then take a chance at this rewarding opportunity Position Overview: The AI Architect is responsible for designing, developing, and governing enterprise grade AI solutions that align with business strategy. This role blends deep technical expertise in artificial intelligence, machine learning, Data, and cloud architecture with strong product intuition, security awareness, and leadership. The AI Architect ensures that AI initiatives are scalable, ethical, secure, cost efficient, and integrated into the broader enterprise ecosystem. Responsibilities: AI Strategy & Solution Architecture: Define and evolve the enterprise AI architecture, ensuring alignment with business, data, and technology strategies. Design scalable, secure, and compliant automation solutions to streamline across the enterprise Architect end to end AI solutions including data engineering, RAG model development, model operations (MLOps), and lifecycle management. Partner with business, product, and engineering teams to translate business problems into appropriate AI / ML approaches. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Technical Leadership: Provide architectural oversight across AI / ML projects to ensure consistency, performance, and maintainability. Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling. Support development teams on model selection, training pipelines, prompt engineering, fine tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies. Mentor engineers, analysts, and product teams on AI best practices. Data, Integration & Platforms: Partner with data architects and engineering to ensure robust data pipelines, governance, feature stores, and architecture. Design secure and performance integration between AI models and enterprise systems (APIs, microservices, events). Governance & Compliance: Ensure AI solutions adhere to enterprise security standards, data privacy policies, and regulatory requirements. Implement responsible AI guardrails, fairness checks, explainability frameworks, and monitoring. Develop and maintain automation governance frameworks, documentation, and audit trails. Operations & Optimization: Define MLOps / LLMOps standards including CI / CD pipelines, model monitoring, drift detection, observability, and rollback processes. Drive continuous improvement of model performance, cost optimization, and operational efficiency. Establish KPIs, telemetry, and feedback loops for production AI systems. Collaboration & Enablement: Partner with IT, compliance, operations, and customer service teams to align automation initiatives with business goals. Mentor and guide developers and analysts to build a center of excellence (CoE) for automation. Required Qualifications: 5 years of experience in application development, engineering, or solution delivery roles. 1 years of hands-on experience in AI / ML engineering, data science, or AI solution architecture. Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio / Agent Builder, or comparable generative AI ecosystems). Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design). Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI / ML tooling. Experience with MLOps / LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores. Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT / Azure Cloud foundry, Copilot Studio Agent builder, low code / no code platforms, and generative AI tools. Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization. Preferred Skills: Experience enterprise-wide AI programs or platform buildouts. Strong understanding of data governance, privacy, security, and model risk management. Prior experience with large-scale transformation programs. If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Melissa Francisco Melissa Francisco LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company's strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering 8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Strong problem-solving skills with bias for action Preferred Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Target Compensation: A competitive base salary range from $184,354 - $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent . click apply for full job details

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: 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 Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: 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 Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: 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 Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You'll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You'll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. We are looking for a Machine Learning Engineer with a background as a Software Engineer. What you'll do in the role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and deliver GenAI models and componentsthat solve complex business problems, while working in collaboration with the Product and Data Science teams. Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. Retrain, maintain, and monitor models in production. Construct optimized, scalable data pipelines to feed ML models. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Go, Scala or Java Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, Go or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).