ai systems engineer

Millennium Management

<div>AI Platform Engineer
We&rsquo;re seeking an AI Platform Engineer to contribute to the development and management of cutting-edge AI infrastructure for our complex enterprise environment. In this role, you&rsquo;ll harness your expertise to build infrastructure which enables your team and the firm to manage autonomous agents, machine learning systems and other applications in the AI domain.
You&rsquo;ll design and manage federated AI ecosystems, including MCP servers, agents and enterprise AI tooling, while orchestrating agent deployment across distributed systems and service buses. This role requires technical depth, strong communication, and a passion for building transformative AI infrastructure.
If you&rsquo;re ready to shape the future of AI and thrive in a fast-paced, innovative environment, we want to hear from you!
Key Responsibilities:<ul><li>
Design and implement AI infrastructure to support federated agent development and distributed deployment across the organization.</li><li>
Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards and best practices.</li><li>
Build and maintain MCP (Model Context Protocol) servers and related infrastructure for agent communication, coordination, and enterprise service bus integration.</li><li>
Accelerate code review processes by leveraging AI agents for automated analysis, quality checks, and architectural validation.</li><li>
Establish robust monitoring, governance, and security frameworks for AI agent operations in enterprise environments.</li><li>
Implement and manage secure authentication and authorization systems for MCP servers, including OAuth flows and API security.</li><li>
Collaborate with development teams to integrate AI-powered tools into existing workflows and CI/CD pipelines.</li><li>
Act as a deployed engineer, traveling to different teams across the firm to teach AI infrastructure best practices and guide adoption.</li><li>
Provide technical leadership in transitioning traditional development practices to AI-augmented approaches.</li></ul>
Qualifications:<ul><li>
Experience: 8+ years of professional software development experience with a demonstrated ability to architect and build scalable systems.</li><li>
AI Infrastructure: Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.</li><li>
Programming Skills: Proficiency in Python, TypeScript/JavaScript, and experience with AI/ML frameworks and libraries.</li><li>
Enterprise Architecture: Strong understanding of enterprise software architecture patterns and distributed systems design.</li><li>
Cloud Platforms: Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools.</li><li>
Containerization: Experience with Docker, Kubernetes, and container orchestration in production environments.</li><li>
API Design: Experience building and managing APIs, microservices, and event-driven architectures.</li><li>
Security: Strong understanding of information security principles, OAuth 2.0/OpenID Connect flows, API security, and secure system design.</li><li>
Communication: Strong communication and teaching skills with the ability to work as a deployed engineer across different teams.</li><li>
Education: Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.</li></ul>
Preferred Qualifications:<ul><li>
Experience with AI agent frameworks, LLM integration, or Model Context Protocol (MCP) implementations.</li><li>
Background in building federated systems or multi-tenant AI platforms.</li><li>
Experience with AI governance, security, and compliance in enterprise environments.</li><li>
Background in information security, penetration testing, or security architecture roles.</li><li>
Familiarity with code generation tools, automated testing frameworks, and AI-powered development workflows.</li><li>
Knowledge of vector databases, embedding systems, and retrieval-augmented generation (RAG) architectures.</li><li>
Experience in DevOps/Platform Engineering roles with focus on developer tooling and productivity.</li><li>
Previous experience managing transitions from traditional to AI-augmented development practices.</li></ul>
The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div>

AI Platform Engineer

Movius Interactive

<div><h3 class="jobSectionHeader">Position: Principal Engineer &ndash; AI Systems &amp; Telephony Infrastructure</h3>
<div>Location:
</div><div>About Movius</div>
<div>At Movius, we address one of the most critical challenges companies face &mdash; enabling secure, compliant, and efficient communication between employees and clients over voice and messaging.</div>
<div>We are the global leader in Secure Communication as a Service (SCaaS&trade;). Our flagship solution, MultiLine&trade;, streamlines communication workflows, ensures compliance, and unifies cross-channel messaging. Movius&rsquo; AI-powered solutions help businesses build strong, lasting customer relationships through company-controlled, secure systems. 
Welcome to Phone 3.0&trade;.</div>
<div>Headquartered in Alpharetta, GA, with offices in Silicon Valley, Bangalore, New York, and London, Movius partners with global telecom leaders such as T-Mobile, Vodafone, TELUS, BT, Singtel, and others. 
To learn more, visit www.movius.ai.</div>
<h4 class="jobSectionHeader">Your Opportunity</h4>
<div>We are looking for a Principal Engineer with 10&ndash;12 years of hands-on experience in backend engineering, architecture, AI systems integration, and telephony infrastructure.</div>
<div>You will take complete ownership of the engineering and delivery lifecycle for AI-powered Speech and Voice products, ensuring scalability, reliability, and high performance. This role is ideal for an experienced technologist who enjoys building large-scale, real-time systems and collaborating with AI/ML, Product, and DevOps teams to deliver production-grade voice AI solutions.</div>
<h3 class="jobSectionHeader">What You&rsquo;ll Do</h3>
<ul><li>Architect and lead development of scalable backend platforms for AI voice and messaging agents.</li>
<li>Integrate CPaaS platforms and telephony systems (Asterisk, FreeSWITCH).</li>
<li>Build real-time streaming pipelines connecting ASR (speech recognition), TTS (text-to-speech), and LLM (natural language generation) components.</li>
<li>Lead a small backend engineering team while collaborating with AI scientists and cloud engineers.</li>
<li>Oversee deployment, monitoring, and optimization of voice AI systems on AWS/GCP/Azure.</li>
<li>Implement best practices for CI/CD, observability, and API governance.</li>
<li>Drive architecture discussions and long-term technology strategy aligned with product goals.</li>
</ul><h3 class="jobSectionHeader">What You Bring</h3>
<ul><li>10&ndash;12 years of backend development experience (Node.js, Python, or Go) with strong architecture and design skills.</li>
<li>Proven expertise in real-time systems, microservices, WebSockets, and message brokers (Kafka, Redis Streams, etc.).</li>
<li>Hands-on experience with telephony protocols (SIP, RTP) and CPaaS platforms; exposure to Asterisk/FreeSWITCH is a plus.</li>
<li>Solid understanding of integrating AI/NLP components &ndash; LLMs, ASR/TTS engines, and vector databases.</li>
<li>Strong knowledge of security, compliance, and observability in production systems.</li>
<li>Experience with Docker, Kubernetes, and CI/CD toolchains.</li>
<li>Proven track record of delivering end-to-end AI/Voice solutions in live environments.</li>
</ul><h3 class="jobSectionHeader">Desirable Skills</h3>
<ul><li>Familiarity with Agentic AI frameworks or orchestrating autonomous AI agents.</li>
<li>Experience with vector databases (Pinecone, Weaviate, FAISS) and RAG architectures.</li>
<li>Knowledge of real-time analytics and performance monitoring (Prometheus, Grafana, etc.).</li>
</ul><h3 class="jobSectionHeader">Why Join Movius</h3>
<ul><li>Play a leadership role in shaping next-generation AI + Voice solutions with real-world impact across domains such as telephony, logistics, and customer engagement.</li>
<li>Work directly with executive and product leadership while staying technically hands-on.</li>
<li>Be part of a collaborative, innovation-driven culture with access to modern AI toolchains and infrastructure.</li>
</ul><div>Ready to build the future of reliable, secure, and intelligent communication? 
Apply now at www.movius.ai</div></div><div></div>

Principal Engineer, AI

Tavily

<div>
 
 About Tavily
 
 
 
 Tavily is building the infrastructure layer for agentic web interaction at scale. Our API powers Retrieval Augmented Generation (RAG) and real-time reasoning in AI systems.
 
 
 By connecting large language models to high-quality, trustworthy web content, we help developers build agents that are not only intelligent but also informed.
 
 
 We work with some of the most innovative teams in AI. From startups shaping the ecosystem to enterprises deploying AI at scale. Whether it&rsquo;s powering sales assistants, research copilots, or internal knowledge tools, Tavily is the missing link between LLMs and the real world.
 
 
 The Role
 
 
 We&rsquo;re looking for a Software Engineer to join our core engineering team and help build the infrastructure that powers real-time AI agents. You&rsquo;ll work across the stack, ship fast, and take ownership of critical systems as we scale.
 
 
 This is an ideal role for a technically strong generalist with hands-on experience in building AI agents or complex distributed systems, someone who thrives in low-process environments, understands deep tech, and loves turning ambitious ideas into production-grade systems.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Build fast, reliable, and scalable systems for real-time LLM workflows
 </li>
 <li>
 Design and implement backend infrastructure and API endpoints
 </li>
 <li>
 Collaborate closely with product to iterate on features quickly and thoughtfully
 </li>
 <li>
 Improve performance, monitoring, and reliability across the stack
 </li>
 <li>
 Own core systems and contribute to key architectural decisions
 </li>
 <li>
 Help shape a strong engineering culture focused on velocity and quality
 
 
 </li>
 </ul>
 What You Bring
 
 
 <ul>
 <li>
 2&ndash;5 years of professional software engineering experience
 </li>
 <li>
 Strong backend development skills (Python preferred, but not required)
 </li>
 <li>
 Experience with large-scale distributed systems and API design
 </li>
 <li>
 Hands-on expertise with AWS and cloud-native services
 </li>
 <li>
 Comfort working in a fast-paced startup environment with lots of ownership
 </li>
 <li>
 Curiosity about LLMs, retrieval, and the future of AI systems
 </li>
 <li>
 Based in Abu Dhabi or open to relocating
 
 
 </li>
 </ul>
 Nice To Have
 
 
 <ul>
 <li>
 Background in frontend or full stack development
 </li>
 <li>
 Familiarity with DevOps practices (CI/CD, infrastructure as code, Kubernetes)
 </li>
 <li>
 Experience building RAG workflows, agentic architectures, or LLM-integrated applications
 
 
 </li>
 </ul>
 Perks &amp; Benefits
 
 
 <ul>
 <li>
 A young, open, and inclusive culture where everyone has real impact from day one
 </li>
 <li>
 The chance to build alongside a fast-moving team at the forefront of agentic AI
 </li>
 <li>
 A deep-work culture that values curiosity, creativity, and learning
 </li>
 <li>
 Full relocation package for the whole family including accommodation, insurance, flights, children education and more...
 </li>
 </ul>
</div>

Software Engineer

OpenText

AI-First. Future-Driven. Human-Centered.
 At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.
 
YOUR IMPACT
 We are seeking a highly skilledAI Systems Engineer to lead the design, development, and optimization ofRetrieval-Augmented Generation (RAG) pipelines andmulti-agent AI workflows within enterprise-scale environments.The role requires deep technical expertise acrossLLM orchestration,context engineering, andproduction-grade deployment practices. You will work cross-functionally with data, platform, and product teams to buildscalable, reliable, and context-aware AI systems that power next-generation enterprise intelligence solutions.
 
What The Role Offers
 
<ul>
<li>Be part of anenterprise AI transformation team shaping the future ofLLM-driven applications.</li>
<li>Work with cutting-edge technologies inAI orchestration, RAG, and multi-agent systems.</li>
<li>Opportunity to architectscalable, secure, and context-aware AI systems deployed across global enterprise environments.</li>
<li>Collaborative environment fosteringcontinuous learning and innovation in Generative AI systems engineering.</li>
<li>Architect, implement, and optimize enterprise-gradeRAG pipelines covering data ingestion, embedding creation, and vector-based retrieval.</li>
<li>Design, build, and orchestratemulti-agent workflows using frameworks such asLangGraph,Crew AI, orAI Development Kit (ADK) for collaborative task automation.</li>
<li>Engineer prompts and contextual templates to enhance LLM performance, accuracy, and domain adaptability.</li>
<li>Integrate and manage vector databases (pgvector, Milvus, Weaviate, Pinecone) for semantic search and hybrid retrieval.</li>
<li>Develop and maintain data pipelines for structured and unstructured data usingSQL andNoSQL systems.</li>
<li>Expose RAG workflows through APIs usingFastAPI orFlask, ensuring high reliability and performance.</li>
<li>Containerize, deploy, and scale AI microservices usingDocker,Kubernetes, andHelm within enterprise-grade environments.</li>
<li>Implement CI/CD automation pipelines viaGitLab or similar tools to streamline builds, testing, and deployments.</li>
<li>Collaborate with cross-functional teams (Data, ML, DevOps, Product) to integrate retrieval, reasoning, and generation into end-to-end enterprise systems.</li>
<li>Monitor and enhance AI system observability usingPrometheus,Grafana, andOpenTelemetry for real-time performance and reliability tracking.</li>
<li>Integrate LLMs with enterprise data sources and knowledge graphs to deliver contextually rich, domain-specific outputs.</li>
</ul>
What You Need To Succeed
 
<ul>
<li>Education: Bachelor’s or Master’s degree inComputer Science,Artificial Intelligence, or related technical discipline.</li>
<li>Experience: 5–10 years inAI/ML system development,deployment, andoptimization within enterprise or large-scale environments.</li>
<li>Deep understanding ofRetrieval-Augmented Generation (RAG) architecture andhybrid retrieval mechanisms.</li>
<li>Proficiency in Python with hands-on expertise inFastAPI,Flask, andREST API design.</li>
<li>Strong experience withvector databases (pgvector, Milvus, Weaviate, Pinecone).</li>
<li>Proficiency inprompt engineering andcontext engineering for LLMs.</li>
<li>Hands-on experience withcontainerization (Docker) andorchestration (Kubernetes, Helm) in production-grade deployments.</li>
<li>Experience withCI/CD automation usingGitLab,Jenkins, or equivalent tools.</li>
<li>Familiarity withLangChain,LangGraph,Google ADK, or similar frameworks for LLM-based orchestration.</li>
<li>Knowledge ofAI observability,logging, andreliability engineering principles.</li>
<li>Understanding ofenterprise data governance,security, andscalability in AI systems.</li>
<li>Proven track record of building and maintainingproduction-grade AI applications with measurable business impact.</li>
<li>Experience infine-tuning or parameter-efficient tuning (PEFT/LoRA) of open-source LLMs.</li>
<li>Familiarity withopen-source model hosting,LLM governance frameworks, andmodel evaluation practices.</li>
<li>Knowledge ofmulti-agent system design andAgent-to-Agent (A2A) communication frameworks.</li>
<li>Exposure toLLMOps platforms such asLangSmith,Weights& Biases, orKubeflow.</li>
<li>Experience withcloud-based AI infrastructure (AWS Sagemaker, Azure OpenAI, GCP Vertex AI).</li>
<li>Working understanding ofdistributed systems,API gateway management, andservice mesh architectures.</li>
<li>Strong analytical and problem-solving mindset with attention to detail.</li>
<li>Effective communicator with the ability to collaborate across technical and business teams.</li>
<li>Self-motivated, proactive, and capable of driving end-to-end ownership of AI system delivery.</li>
<li>Passion for innovation inLLM orchestration,retrieval systems, andenterprise AI solutions.</li>
</ul>
OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
 If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket atAsk HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Lead AI Engineer

Contango

<div>About the Role
The future of AI doesn&rsquo;t just depend on smarter models, it depends on the systems that bring them to life. 
We&rsquo;re building those systems. 
As an AI Systems Engineer, you&rsquo;ll design and deploy intelligent architectures powered by LLMs, multi-agent systems, and RAG pipelines. You&rsquo;ll operate where AI research meets real-world engineering, transforming cutting-edge ideas into scalable products that automate complex business processes and deliver measurable impact.
This is a hands-on role for builders who love both innovation and execution - crafting autonomous AI workflows, integrating diverse APIs, and deploying production-grade AI systems in modern SaaS environments. 
Key Responsibilities<ul>
<li>
Architect and build end-to-end AI solutions leveraging LLMs, LangGraph, and FastAPI, enabling intelligent automation for enterprise-scale applications</li>
</ul><ul><li>Design, build, and optimize multi-agent frameworks for coordination, tool use, and autonomous reasoning. Implement StateGraph or similar orchestration frameworks for complex, interdependent workflows</li>
<li>Develop and deploy RAG systems using Azure AI Services or equivalent &mdash; handling document ingestion, vector database integration, and context-aware retrieval for personalized user experiences</li>
<li>Create conversational AI agents that understand multi-turn context, perform task automation (e.g., candidate/job creation, document summarization), and enhance decision-making through natural interaction</li>
<li>Integrate diverse APIs (e.g., Recall.ai, Deepgram, CRM or HR systems) for seamless, end-to-end automation across business platforms</li>
<li>Monitor and improve latency, accuracy, and scalability of AI pipelines. Define evaluation metrics for agent performance, retrieval precision, and generative reliability</li>
<li>Work closely with product, data, and backend teams to define AI features, assess feasibility, and align technical solutions with business goals</li>
</ul>
Candidate Requirements<ul>
<li>Proven experience designing, building, and shipping AI-powered features that solve real business problems</li>
<li>An experimental, curious mindset with a drive to tackle open-ended challenges.</li>
<li>Deep, hands-on familiarity with the modern AI stack &mdash; RAG, vector databases, prompt engineering, fine-tuning, and evaluation frameworks</li>
<li>Ability to balance innovation and reliability, grounding cutting-edge research in scalable, production-ready systems</li>
</ul>
Expertise in one or both areas<ul>
<li>
Software Engineering &amp; Systems Design &ndash; Strong Python skills, experience building scalable APIs/services (e.g., FastAPI, Django), and solid understanding of infrastructure, CI/CD, and system design</li>
<li>ML Engineering &amp; Research &ndash; Proficiency in ML frameworks (PyTorch, TensorFlow, Hugging Face) with a strong grasp of model architecture, training, and optimization</li>
</ul>
Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</div>

Senior AI Engineer

KONISHI

Senior Software Engineer &ndash; AI Orchestration &amp; InfrastructureLocation: Islamabad (Remote Option Available for the Right Candidate)Employment: Full-timeAbout UsWe are building Konishi, an Agentic AI platform that automates critical parts of the insurance underwriting process. Our product focuses on extracting data from complex insurance documents, populating structured templates, and integrating seamlessly with enterprise systems.Underwriters currently spend about 800 hours per year on administrative tasks. Our mission is to recover this time, enabling them to focus on high-value decision-making. This is an opportunity to join at an early stage, where your work will have a direct and lasting impact on both the product and the company.The RoleAs a Founding Software Engineer, you will be responsible for building the backbone of our agentic AI system. You will work closely with the founder, who leads AI workflow design and integration, to:<ul><li>Build and maintain the agent orchestration layer, including state management, multi-agent workflows, retries, and parallel execution.</li><li>Set up secure and scalable infrastructure for on-premise, hybrid, and cloud deployments.</li><li>Ensure observability and traceability of agent operations through logging, metrics, and debugging tools.</li><li>Design and implement integrations with enterprise insurance systems such as email servers, underwriting software, and document workflows.</li><li>Apply best practices in software development, deployment, and security to meet the requirements of regulated enterprise environments.</li></ul>Responsibilities<ul><li>Develop and own the orchestration layer for multi-agent workflows.</li><li>Architect and implement scalable infrastructure using containerization (Docker/Kubernetes) and cloud services.</li><li>Design APIs and backend services to connect AI workflows with external systems.</li><li>Implement monitoring, logging, and debugging pipelines to ensure reliability and transparency.</li><li>Ensure data security through audit logging, role-based access control, and encryption in transit and at rest.</li><li>Collaborate closely with the founder to rapidly iterate on evolving product requirements.</li><li>Establish and maintain best practices in code quality, testing, and deployment.</li><li>Contribute to technical discussions with clients.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Software Engineering, Computer Science, or a related field with a strong academic record.</li><li>Minimum 5 years of professional software engineering experience (backend, infrastructure, or platform engineering).</li><li>Strong proficiency in Python and JavaScript, including asynchronous programming and API development.</li><li>Experience with cloud platforms and container orchestration (Docker/Kubernetes).</li><li>Familiarity with agentic AI design patterns (orchestrator-worker, hierarchical agents, parallel execution).</li><li>Experience integrating backend systems with enterprise software (APIs, email systems, Excel/Word automation, CRMs).</li><li>Strong understanding of security best practices, including authentication, encryption, and access control.</li><li>Demonstrated ability to deliver high-quality systems quickly.</li></ul>Nice to Have<ul><li>Experience with LangChain, LangGraph, or LlamaIndex.</li><li>Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication protocols.</li><li>Prior exposure to regulated industries such as insurance, banking, or healthcare.</li><li>Knowledge of observability frameworks (OpenTelemetry, Prometheus, Grafana).</li></ul>Why Join Us?<ul><li>High-impact role: Build the core backbone of a product that is redefining insurance technology.</li><li>Ownership: Take responsibility for critical architecture decisions as a founding engineer.</li><li>Growth: Work at the intersection of AI, backend engineering, and enterprise integration.</li><li>Mission-driven: Contribute to transforming how underwriters operate and deliver value.</li><li>Skin in the game: Equity options may be available for the right candidate.</li></ul>Join Konishi and help build the future of insurance!Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Tell me about your proudest accomplishment.</li><li>Can you give me an example of when you had to be resourceful to solve a unique problem?</li></ul>Work Location: In person

Founding Software Engineer - AI Orchestration & Infrastructure

Information Technology Senior Management Forum

<div><div>Posted Date
11/07/2025
</div><div>Description
<div>Senior Lead AI Engineer
Overview: 
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 &mdash; along with our deep experience in machine learning &mdash; 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 &amp; 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
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: $225,400 - $257,200 for Sr. Lead AI Engineer 

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Jose, CA: $245,900 - $280,600 for Sr. Lead 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&rsquo;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 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com
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 Lead AI Engineer
Overview: 
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 &mdash; along with our deep experience in machine learning &mdash; 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 &amp; 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
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: $225,400 - $257,200 for Sr. Lead AI Engineer 

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Jose, CA: $245,900 - $280,600 for Sr. Lead 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&rsquo;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 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com
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).</div>
</div><div>Salary
225,400.00 - 257,200.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Lead AI Engineer

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