ai engineer

Ontrac Solutions

<div><h1 class="jobSectionHeader"><b>Overview</b></h1>
<p>We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.</p>
<p>The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>GenAI Architecture &amp; Production Readiness</b></h3>
<p>Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.</p>
<p>Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.</p>
<p>Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.</p>
<p>Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.</p>
<p>Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.</p>
<h3 class="jobSectionHeader"><b>Banking Use-Case Delivery</b></h3>
<p>Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.</p>
<p>Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.</p>
<p>Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.</p>
<p>Troubleshoot and resolve complex issues across non-production and production environments.</p>
<p>Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.</p>
<p>Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.</p>
<h3 class="jobSectionHeader"><b>Governance, Risk &amp; Compliance</b></h3>
<p>Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.</p>
<p>Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.</p>
<p>Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.</p>
<p>Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.</p>
<p>Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.</p>
<h3 class="jobSectionHeader"><b>Organizational Influence &amp; Mentorship</b></h3>
<p>Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.</p>
<p>Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.</p>
<p>Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.</p>
<p>Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.</p>
<h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<p>7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.</p>
<p>2+ years of hands-on Python programming experience.</p>
<p>2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.</p>
<p>2+ years of experience with LLMs, prompt engineering, and RAG architecture.</p>
<p>2+ years of experience with vector databases, semantic search, and retrieval systems.</p>
<p>2+ years of experience with API-driven, cloud-native architectures.</p>
<p>2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.</p>
<p>Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.</p>
<h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<p>Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.</p>
<p>Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.</p>
<p>Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.</p>
<p>Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.</p>
<p>Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.</p>
<p>Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.</p>
<p>Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.</p>
<p>Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.</p>
<h2 class="jobSectionHeader"><b>Ideal Candidate Profile</b></h2>
<p>The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.</p>
<p>This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</p></div>

Principal AI Engineer

Wells Fargo

<div><p><b>About this role:</b></p><p>
Wells Fargo is seeking a Principal Engineer to join our AI Platforms and Enterprise Execution Group as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com.</p><p></p><p>
This role focuses on designing and delivering enterprise‑scale strategic initiatives in reusable AI patterns that deliver business and customer value.</p><p></p><p>
This is a hands‑on Principal Engineer role for a technical leader who designs, builds, and scales AI‑driven platforms, while operating at enterprise scope. The Principal Engineer serves as a technical authority who codes, prototypes, and reviews architecture, not just oversees execution</p><p><b><br>
In this role, you will:</b></p><ul><li>
Act as a trusted advisor to leadership, guiding the development and influence of applications, networks, information security, databases, operating systems, web technologies, and emerging AI capabilities to address highly complex business and technical needs across multiple groups</li><li>
Lead the strategy and resolution of highly complex, unique challenges through end‑to‑end solution design, including Generative and Agentic AI systems, cloud‑native platforms, and legacy modernization efforts that require long‑term vision, creativity, innovation, and advanced analytical thinking</li><li>
Translate advanced technology expertise, deep understanding of enterprise business objectives, organizational structure, and the broader technology ecosystem into scalable engineering solutions, such as reusable architectures, AI-enabled platforms, and production‑ready systems</li><li>
Provide vision, direction, and technical leadership to senior leaders on implementing innovative business solutions, embedding AI and automation into product delivery workflows, decision support, and developer productivity while ensuring alignment with security, compliance, and responsible AI standards</li><li>
Maintain deep awareness of industry best practices, emerging technologies, and AI advancements, proactively recommending innovations that modernize operations, improve efficiency and quality, and create competitive advantage for the organization</li><li>
Strategically engage with professionals and managers at all levels of the enterprise, serving as an expert technical advisor and escalation point for complex platform, data, and AI decisions while mobilizing and guiding large‑scale, cross‑organizational initiatives and communicating progress to executive leadership</li></ul><p></p><p><b><br>
Required Qualifications:</b></p><ul><li>
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
7+ years of senior engineering experience, including architecture and hands‑on delivery of large‑scale platforms and systems</li><li>
4+ years of experience developing or deploying AI‑powered tools, chatbots, LLM‑based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication</li><li>
3+ years of hands‑on experience across Cloud architectures including Google Cloud Platform, Microsoft Azure, AWS, etc. and internal platforms such as Tachyon</li><li>
3+ years of experience operating at both keyboard‑level technical depth and executive‑level technical storytelling</li></ul><p></p><p><b>
Desired Qualifications:</b></p><ul><li>
Experience working within agile product operating models in large enterprise environments, including agile software delivery and cloud infrastructure</li><li>
Financial services experience preferred; Business Banking domain experience is beneficial but not required</li><li>
Demonstrated ability to mentor senior and staff engineers, raising the technical bar of the organization</li><li>
Proven strategic thinking, analytical problem‑solving, and sound technical judgment in fast‑paced settings</li><li>
Proven experience with cloud infrastructure and containerization, including enterprise compute, storage, and IaaS environments</li><li>
Demonstrated curiosity and innovation mindset for advancing Generative and Agentic AI solutions within regulated enterprise contexts</li><li>
Strong organizational savvy and customer centricity, with the ability to navigate complex enterprise structures and align technology to business outcomes</li></ul><p><b><br>
Job Expectations:</b></p><ul><li>
Ability to travel as needed
</li><li>This position offers a hybrid work schedule</li><li>
This position is not eligible for Visa sponsorship</li></ul><p></p><p><b>
Job Location</b>:</p><p>
333 Market St - San Francisco, California 94105</p><p>
300 S. Brevard - Charlotte, North Carolina 28202</p><p>
2600 S Price Rd - Chandler, Arizona 85286</p><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$159,000.00 - $305,000.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
12 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Hellyeah AI

<p><b>AI Engineer - Learn Engine: Intelligence &amp; Optimization</b></p><p>Location: San Francisco HQ; Shanghai</p><p>Address: San Francisco, California</p><p>Employment Type: Full time</p><p>Location Type: Hybrid</p><p>Department: Engineering</p><p>Compensation: San Francisco $200K - $1M + 0.5% - 3% equity</p><p>Build the brain of an autonomous growth OS. The system you create will manage millions in ad spend and get measurably smarter with every dollar. This is the moat: every competitor has humans optimizing campaigns manually. You are building the intelligence layer that compounds. The Platform engineer creates the tools; you create the decisions. Together you build something nobody else has.</p><p>Must Have</p><p>- Has built recommendation, optimization, or decision systems where outputs improve future inputs.</p><p>- Strong statistical reasoning and experimentation judgment under noisy real-world data.</p><p>- Strong LLM orchestration or agent-system experience for reasoning over campaign context.</p><p>- Can design optimization policies, scoring systems, or automated recommendation loops.</p><p>- AI-first development workflow and ability to ship production systems quickly.</p><p>Nice to Have</p><p>- Ad-tech optimization patterns: bid management, budget allocation, ROAS optimization.</p><p>- Reinforcement learning experience.</p><p>- Hyperparameter optimization experience.</p><p>- Model fine-tuning experience.</p><p>- Experience building agent-driven automation where LLM agents take actions.</p><p>- Background in growth engineering, performance marketing, or data science.</p><p>- Experience with Mastra or similar agent orchestration framework.</p><p>What You Will Own</p><p>Own the intelligence and optimization layer of Learn Engine. Build recommendation engines for bid changes, budget reallocation, pause/boost decisions, and postback optimization. Turn SSOT campaign data into high-quality optimization guidance and closed-loop decision systems. Define how the system learns from outcomes and continuously improves campaign strategy over time. This role owns decision quality, optimization policy, and learning loops, not platform plumbing or simulator infrastructure.</p><p>Pay: $200,000.00 - $1,000,000.00 per year</p><p>Work Location: In person</p>

AI Engineer - Learn Engine: Intelligence & Optimization

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>6/29/2026</p>
</div><div><p>Description</p>
<div>Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)<p><b>
Overview:</b></p><p>
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.</p><p><b>
Team Description:</b></p><p>
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.</p><p></p><p><b><br>
In this role, you will:</b></p><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><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><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><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><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><p><b>
The Ideal Candidate:</b></p><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><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><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><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><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><p><b>
Preferred Qualifications:</b></p><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><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
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.</p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
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.</p>
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.<p>
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.</p>
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.<p>
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.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
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.</p><p>
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).</p>
Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)<p><b>
Overview:</b></p><p>
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.</p><p><b>
Team Description:</b></p><p>
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.</p><p></p><p><b><br>
In this role, you will:</b></p><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><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><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><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><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><p><b>
The Ideal Candidate:</b></p><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><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><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><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><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><p><b>
Preferred Qualifications:</b></p><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><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
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.</p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
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.</p>
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.<p>
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.</p>
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.<p>
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.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
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</div><div><p>Salary</p><p>
229,900.00 - 262,400.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

University of California - San Francisco

<div><p>Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union.
</p><p>The Oracle Cloud AI Architect is responsible for designing, implementing AI-enabled solutions, analytics, automation, and enterprise applications across Oracle Cloud Human Capital Management (HCM), Supply Chain Management (SCM), Financials (FIN), Procurement, and related systems. This role partners with business stakeholders, operational leaders, and technical teams to design and optimize scalable solutions that improve business operations, decision-making, and user experience across the enterprise.
</p><p>The incumbent applies advanced knowledge of Oracle Cloud architecture, enterprise business processes, data management, and AI-enabled technologies to support intelligent automation, predictive analytics, reporting, workflow optimization, and enterprise data initiatives. Responsibilities include leveraging Oracle Cloud technologies such as OTBI, BI Publisher, Smart View, Fusion Data Intelligence (FDI), Fusion Analytics Warehouse (FAW), Oracle AI services, and related analytics platforms to develop integrated and secure enterprise solutions aligned with organizational goals.
</p><p>This role collaborates closely with Business Systems Analysts, ERP functional teams, developers, integration teams, and leadership to support system enhancements, enterprise integrations, data governance, testing, upgrades, and continuous improvement initiatives. The position also evaluates emerging Oracle Cloud and AI capabilities, promotes self-service analytics and automation, and supports operational excellence through scalable, compliant, and data-driven enterprise solutions.
</p><p>This position includes regular onsite work, typically 1&ndash;3 days per month. The exact schedule and frequency may be adjusted as needed to meet departmental and operational demands<br>
</p><p></p><p><b>Department Overview
</b></p><p>The Business Informatics &amp; Analysis team is responsible for delivering functional expertise, business process analysis, and application support across the enterprise&rsquo;s Oracle Cloud ERP ecosystem. This team partners with business stakeholders, technical, and cross-functional teams to ensure that Oracle ERP modules&mdash;such as Finance, Procurement, Projects, Research, Supply Chain, and Human Capital Management (HCM)&mdash;are effectively configured, optimized, and aligned with organizational objectives.
</p><p>The team provides both strategic and operational support, including requirements gathering, solution design, process improvement, system configuration, testing, reporting, and training. Their work ensures that Oracle Cloud ERP and the boundary systems it integrates with enable accurate, efficient, and scalable business operations.</p></div><p></p>
<br><div><p><b>REQUIRED QUALIFICATIONS
</b></p><ul><li>Bachelor's degree in a related area and/or equivalent experience/training.
</li><li>5+ years of experience in business transformation, value engineering, strategy, or enterprise advisory roles, preferably in healthcare or higher education environments.
</li><li>5+ experienced with Oracle Fusion applications, analytics, or AI platforms
</li><li>3+ years of dimensional and relational data modeling experience
</li><li>2+ years building and delivering LLM/GenAI solutions
</li><li>Ability to understand and model complex knowledge-intensive processes Oracle ERP data structures and business processes (Finance, SCM, Research or HCM)
</li>Familiarity with highly complex data quality and governance issues and requirements.<br>
<li>
</li></ul><p></p><p><b>PREFERRED QUALIFICATIONS
</b></p><ul><li>Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Interpersonal and communications skills to work with both technical and non- technical personnel at various levels in the organization.
</li><li>3+ years of experience in relational database, SQL, or system development life-cycle project; and/or equivalent experience/training.
</li><li>1+ year of experience in an organization comparable to UCSF in terms of budget, size, complexity, scope of operation, and accounting systems
</li><li>Knowledge of supply chain, human capital management, or finance systems and processes within a healthcare or higher education environment
</li><li>Certifications
</li><li>Oracle Certifications
</li><li>Lean Six Sigma Black Belt (LSSBB)
</li><li>Project Management Professional (PMP)
</li><li>Certified Business Analysis Professional (CBAP)</li></ul></div>
<br><div><div><b>About UCSF<br>
</b></div><div></div><br>
<div>The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world&rsquo;s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.<br>
</div><div></div><br>
<div><b>Pride Values<br>
</b></div><div></div><br>
<div>UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence &ndash; also known as our PRIDE values .<br>
</div><div></div><br>
<div>In addition to our PRIDE values, UCSF is committed to equity &ndash; both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here .<br>
</div><div></div><br>
<div>Join us to find a rewarding career contributing to improving healthcare worldwide.<br>
</div><div></div><br>
<div><b>Equal Employment Opportunity<br>
</b></div><div></div><br>
<div><i>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.<br>
</i></div><div></div><br>
<div><div><b>Salary Information<br>
</b></div><div></div><br>
<div>The final salary and offer components are subject to additional approvals based on UC policy.<br>
</div><div></div><br>
<div>Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.<br>
</div><div></div><br>
<div>To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</div></div></div><div></div>

Oracle AI Forward Engineer

Notion

<div>
 Who We Are
 <br/>
 <br/>
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 <br/>
 <br/>
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 <br/>
 <br/>
 We're looking for an New Grad AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
 <br/>
 <br/>
 <ul>
  <li>
   AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
  </li>
  <li>
   Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
  </li>
  <li>
   Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Achieve
 <br/>
 <br/>
 <ul>
  <li>
   Partner with your team to prototype and ship an AI-powered product improvement
  </li>
  <li>
   Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
  </li>
  <li>
   Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Pursuing a bachelor's or master&rsquo;s degree in computer science, engineering, or another related field. Must be able to start full time prior to July 27, 2026.
  </li>
  <li>
   Previous internship experience.
  </li>
  <li>
   Working towards a proficiency of one or more programming languages such as Typescript, React, Python, etc.
   <br/>
   <br/>
  </li>
 </ul>
 Skills You'll Need To Bring
 <br/>
 <br/>
 <ul>
  <li>
   Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
  </li>
  <li>
   Problem-solving: You&rsquo;re curious and methodical. You ask good questions, break down ambiguous problems into smaller pieces, and iterate with feedback from teammates. You think about how what you build will impact users and the business.
  </li>
  <li>
   Communication and collaboration: You communicate clearly in writing and in meetings, and you&rsquo;re comfortable learning in public&mdash;sharing early work, asking for help, and incorporating feedback. You enjoy partnering with engineers and cross-functional teammates (product, design, data).
  </li>
  <li>
   Impact and user focus: You care about building the right thing, not just building it quickly. You prioritize work based on user needs and outcomes, and you&rsquo;re mindful that features at Notion can reach millions of people.
   <br/>
   <br/>
  </li>
 </ul>
 Nice To Haves
 <br/>
 <br/>
 <ul>
  <li>
   You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, etc.
  </li>
  <li>
   You&rsquo;re a builder who finds joy in building software solutions for yourself or others
  </li>
  <li>
   You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
  </li>
  <li>
   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
   <br/>
   <br/>
  </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $126,000-$146,000.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
 A Note on AI
 <br/>
 <br/>
 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 <br/>
 <br/>
 Equal Opportunity &amp; Accommodations
 <br/>
 <br/>
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 <br/>
 <br/>
</div>


Software Engineer, New Grad (AI)

Resourceful Talent Group

<div><p><b>Compensation:</b> $185,000 to $260,000 base + meaningful early-stage equity</p><p></p><p><b>
About the Role</b></p><p>
We are hiring a <b>Founding Product Engineer</b> for our client, a well-funded, fast-growing AI startup that is transforming how professional services firms operate through intelligent automation.</p><p></p><p>
With strong customer traction, paying clients already using the product, and an ambitious roadmap ahead, they&rsquo;re looking for an exceptional engineer who wants to help build a category-defining product from the ground up. This is a rare opportunity to work directly with the founding team, take ownership of core product development, and play a key role in shaping both the product and the engineering culture.</p><p></p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Build and ship product features across the full stack, from concept to production</li><li>
Design scalable frontend and backend solutions using modern web technologies</li><li>
Develop integrations with third-party platforms and APIs</li><li>
Build AI-powered features using LLMs and agent-based workflows</li><li>
Collaborate closely with the founders on product strategy, technical decisions, and roadmap planning</li><li>
Move quickly, solve complex problems, and continuously improve the product based on customer feedback</li></ul><ul><li>
2 to 7 years of professional software engineering experience</li><li>
Strong experience with TypeScript, React, Next.js, Node.js, and SQL or PostgreSQL</li><li>
Experience building and shipping production-ready full-stack applications</li><li>
Hands-on experience working with LLMs, AI tools, or agentic systems</li><li>
Ability to take ownership and thrive in a fast-paced startup environment</li><li>
Strong product mindset and passion for building user-focused software</li><li>
Excellent communication and problem-solving skills</li></ul><p></p><p><b>
Nice to Have</b></p><ul><li>
Experience working at a seed or Series A startup</li><li>
Experience building API integrations or workflow automation tools</li><li>
Exposure to AI-first products or automation platforms</li><li>
Previous experience as an early engineering hire or working directly with founders</li></ul><p></p><p><b>
Why Join?</b></p><ul><li>
Competitive base salary of <b>$185K to $260K</b></li><li>
Meaningful early-stage equity</li><li>
Opportunity to become one of the first engineering hires</li><li>
Work directly with experienced founders who have successfully built and scaled startups</li><li>
Join a company with proven market demand and paying customers</li><li>
Hybrid schedule in San Francisco (3 days in office)</li><li>
Relocation assistance available</li><li>
Visa transfer support for qualified candidates</li><li>
High-impact role with significant ownership and opportunities for growth</li></ul></div><p></p>

Founding Product Engineer

Explore 70+ Ai engineer in San Francisco this July. Find roles across top companies and apply now to boost your career.

70 ai engineer jobs In San Francisco

Principal AI Engineer

Principal AI Engineer

AI Engineer - Learn Engine: Intelligence & Optimization

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

Oracle AI Forward Engineer

Software Engineer, New Grad (AI)

Founding Product Engineer