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ai engineer

FocusKPI Inc.

<div>We are seeking an Agentic AI Engineer to support the development of a customized AI agent solution for one of our clients. 
 
We're a consulting team that helps clients design and build customized AI agent solutions. You'll work across engagements &mdash; understanding client problems, architecting the right agentic approach, and shipping working systems. This is not a research role. You'll be in the work &mdash; building agents that go live, with real clients, on real timelines. 
 
Environment: 
 
We move fast and work across multiple client contexts. You'll need to be comfortable with ambiguity, adapt quickly across industries, and take ownership of your engagements without much hand-holding. 
 
If you thrive in structured, single-product environments with long planning cycles, this probably isn't the right fit. If you love the variety of consulting and want to build things that actually ship, let's talk. 
 
Work Location: Remote position (40 hours per week) 
Duration: Full-time role 
Pay-rate: $30+/hr 
 
**No C2C resumes are considered** 
 
Responsibilities:<ul><li>
Consult with clients to understand their workflows, pain points, and where agentic AI can create real leverage</li><li>
Design and build custom AI agent solutions tailored to each client's stack, data, and constraints</li><li>
Own full delivery &mdash; from architecture and prompt design to tool integration, testing, and handoff</li><li>
Build evals and monitoring so clients can trust what's running in production</li><li>
Move across engagements &mdash; you'll context-switch between clients and industries</li></ul>
Qualifications:<ul><li>
A minimum of 2 years of experience is required</li><li>
Education requirements: Master's degree</li><li>
Mandatory skills: Agentic AI, Claude, LLM</li><li>
Building production-grade agentic systems using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Claude Agent SDK</li><li>
Designing agent architectures: tool routing, memory, multi-agent coordination, retrieval pipelines</li><li>
Translating a client's messy real-world process into a structured agent design</li><li>
Communicating clearly with non-technical stakeholders &mdash; you can explain what you're building and why</li><li>
Delivering under real project constraints &mdash; timelines, client expectations, shifting requirements</li></ul>
Nice to have:<ul><li>
Experience building agents for GTM use cases &mdash; sales research, outreach automation, CRM workflows, lead enrichment, or marketing operations</li><li>
Comfort connecting agents to third-party APIs, CRMs (HubSpot, Salesforce), or communication tools</li></ul>
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . 
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
DC4HSZaJiV</div>

Agentic AI Engineer

WilmerHale

<div>
 
 Job Description
 
 
 
 WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.
 
 
 
 About The Role
 
 
 
 The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
 
 
 
 What You Will Be Doing
 
 
 
 <ul>
 <li>
 Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
 </li>
 <li>
 Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.
 </li>
 <li>
 Optimizes existing generative AI models for improved performance, scalability, and efficiency.
 </li>
 <li>
 Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Contributes to the establishment of best practices and standards for AI development within the organization.
 </li>
 <li>
 Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
 </li>
 <li>
 Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.
 </li>
 <li>
 Provides technical mentorship and guidance to other team members.
 </li>
 <li>
 Creates and delivers end-user training and documentation and provides second-line support to other users.
 </li>
 <li>
 Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
 </li>
 <li>
 Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
 </li>
 <li>
 Participates in special projects and performs other duties as assigned.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 What You Will Bring to This Position
 
 
 
 <ul>
 <li>
 Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
 </li>
 <li>
 Experience building recommendation models.
 </li>
 <li>
 Strong knowledge of data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Familiar with cloud-based platforms and services, such as Azure or AWS.
 </li>
 <li>
 Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
 </li>
 <li>
 Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
 </li>
 <li>
 Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
 </li>
 <li>
 Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
 </li>
 <li>
 Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
 </li>
 <li>
 Willingness and ability to learn and use new technologies as the need arises.
 </li>
 <li>
 Ability to work effectively with both users and technical staff in team-oriented environments.
 </li>
 <li>
 Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
 </li>
 <li>
 Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
 </li>
 <li>
 A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
 </li>
 <li>
 Hands-on experience with LLMs fine-tuning is a plus.
 </li>
 <li>
 Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
 </li>
 <li>
 The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
 </li>
 <li>
 2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
 </li>
 <li>
 4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
 </li>
 <li>
 Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.
 
 
 </li>
 </ul>
 
 Our Commitment
 
 
 
 Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
 
 
 For more information about Equal Employment Opportunity, please click here.
 
 
 Hire in salary range is $135,000 - $169,000
 
 
 <ul>
 <li>
 For additional information about our benefits, please click here
 
 
 </li>
 </ul>
 This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.
 
 
</div>

Artificial Intelligence (AI) Engineer

Hike Medical

<div>The Role 
As a Senior Machine Learning Engineer, you will bridge the gap between raw computer vision and physical, 3D-printed reality. You will own the pipeline that translates a smartphone video into a high-fidelity, CAD-compatible 3D reconstruction of human anatomy. 
What You&rsquo;ll Work On<ul><li>
3D Reconstruction &amp; Generation: Develop and deploy SOTA models for 3D human body part reconstruction (SDFs, NeRFs, Gaussian Splatting, or Mesh-based approaches) from videos.</li><li>
Deep Learning: Architect pipelines that handle non-Euclidean data to extract precise clinical measurements from noisy real-world scans.</li><li>
CAD Integration: Bridge the gap between AI inference and parametric CAD modeling for automated 3D printing preparation.</li><li>
Rapid Prototyping &amp; Continual Learning: You should be used to keeping up to date on latest advances and quickly implementing these advancements into our systems.</li><li>
Production ML: Work with our engineering team to deploy models into our AWS/serverless environment, ensuring clinical-grade accuracy at scale.</li></ul> 
Ideal Candidate Profile 
Technical Requirements<ul><li>
PhD in Machine Learning, Computer Graphics, Geometry Processing, or a related field, or equivalent experience.</li><li>
Deep expertise in 3D representations (Meshes, Point Clouds, Voxels, SDFs) and their respective computational tradeoffs.</li><li>
Proven track record in Generative Vision, 3D Reconstruction, or related topics.</li><li>
Strong proficiency in Python and PyTorch.</li><li>
Experience in CAD and computational geometry is a big plus.</li><li>
Experience with ML infrastructure in AWS (SageMaker, Lambda, etc) and model deployment is a plus.</li><li>
Experience in Biomedical AI or Biomechanics (e.g., modeling joint movement or tissue) is highly valued but not required.</li></ul> 
Helpful Characteristics<ul><li>
Fast Iteration Mindset: Willingness to move fast, iterate confidently in ambiguous tasks and deliver results from imprecise instructions or requirements.</li><li>
Product Minded: Our AI team communicates the art of the possible. Having a good eye for high-value product opportunities is a major plus.</li><li>
Polymathic: You can discuss loss functions with researchers, API latency with engineers, and 3D printing constraints with manufacturing.</li><li>
Strong Communicator: You clearly explain your ideas, challenge assumptions, and collaborate across engineering, AI, and product teams.</li><li>
Mission-Driven: You want to build technology that helps people walk without pain and revolutionize the future of orthopaedic care.</li><li>
Thrives in Collaboration: You push back, ask tough questions, and elevate the team.</li></ul></div>

Senior Machine Learning Engineer

Nasdaq

<div>
 
 Data Scientist
 
 
 
 At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and gain hands-on experience working with complex datasets that power global financial markets.
 
 
 You don't need to know everything on day one &mdash; we'll help you build the skills, confidence, and network to grow your career.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Design, research &amp; architect AI/ML solutions across the enterprise.
 </li>
 <li>
 Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators.
 </li>
 <li>
 Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making.
 </li>
 <li>
 Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives.
 
 
 </li>
 </ul>
 
 What we expect:
 
 
 
 <ul>
 <li>
 1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role
 </li>
 <li>
 Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field.
 </li>
 <li>
 Understanding of the fundamentals of Statistics &amp; Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization).
 </li>
 <li>
 Demonstrated experience with deep learning (CNNs, RNNs, transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch, Tensorflow, Jax)
 </li>
 <li>
 Fluency in Python and SQL or other similar relational database management systems.
 </li>
 <li>
 Excellent verbal and written English skills to guide cross-functional teams on complex data-driven projects.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Work experience in a corporate environment or finance/fintech industry
 </li>
 <li>
 Demonstrated interest in finance and/or market microstructure
 </li>
 <li>
 Industry experience with Deep Learning models and methods (Deep Learning Life cycle &ndash; from Problem Definition to Model Evaluation and Monitoring)
 
 
 </li>
 </ul>
 This position will be located in Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
 
 
 
 Come as You Are
 
 
 
 Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
 
 
 
 What We Offer
 
 
 
 We&rsquo;re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq&rsquo;s overall success.
 
 
 The base pay range for this role is $84,000 - $147,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
 
 
 Nasdaq&rsquo;s programs and rewards are intended to allow our employees to:
 
 
 <ul>
 <li>
 Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
 </li>
 <li>
 Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
 </li>
 <li>
 Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
 </li>
 <li>
 Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
 </li>
 <li>
 Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
 
 
 </li>
 </ul>
 
 For more information, visit
 
 Nasdaq Benefits &amp; Rewards Career page
 
 .
 
</div>

Data Scientist - Graduate

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you a tech-savvy storyteller who can translate complex AI solutions into compelling customer value? At AWS, we're seeking a AI Product Marketing Manager who can shape the future of how AI model development and inference impact customer outcomes. 
 
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across AI including Amazon SageMaker, and Amazon Bedrock. 
 
We're looking for a unique blend of data scientist, machine learning engineer, technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business. 
 
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you. 
 
Key job responsibilities 
<ul><li>Partner with product management and sales teams to develop product strategies in AI with a direct focus on model development, inference, and ML Ops</li><li>Create and own positioning and messaging that clearly articulates value propositions to customers</li><li>Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy</li><li>Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles</li><li>Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS' AI offerings in model training, model customization, MLOps, and Inference</li><li>Represent AWS as a product evangelist in executive briefings, industry events, and analyst interactions</li><li>Drive field enablement strategies to support product launches, campaigns, and customer success</li><li>Aligns with technical and business leaders on AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case</li></ul> 
About the team 
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. 
About AWS 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>4+ years experience working directly with customers on adoption of cloud-based products and services</li><li>4+ years working knowledge of cloud-based architectures in AI (Machine learning, Generative AI, Agentic AI) Bachelor's degree in Computer Science or similar field or equivalent experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>4+ years of cloud architecture and solution implementation experience</li><li>Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience</li><li>4+architectures in one or more technical domains (ML, Generative AI, Agentic AI)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 130,500.00 - 176,000.00 USD annually 
USA, MA, Boston - 118,600.00 - 160,000.00 USD annually 
USA, VA, Arlington - 118,600.00 - 160,000.00 USD annually 
USA, WA, Seattle - 118,600.00 - 160,000.00 USD annually</div>

Product Marketing Manager - Tech, AWS AI Marketing

JPMorganChase

<div>JOB DESCRIPTION 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - Data Engineering and MLOps at JPMorgan Chase within the Commercial and Investment Banking - Security Services Data Lake team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will design, deploy, and operate agentic AI and ML solutions; build scalable data pipelines; and automate CI/CD, orchestration, and observability for training and inference. You&rsquo;ll bridge data science, software engineering, and production operations to deliver secure, reliable, and maintainable AI/ML systems. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job responsibilities<ul><li>
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Design, build, and operate scalable batch/streaming pipelines for the Securities Services Data Lake</li><li>
Deploy and manage agentic AI/LLM and ML services; automate training, inference, and feature pipelines</li><li>
Develop APIs/microservices to expose data and ML capabilities to business applications</li><li>
Build and optimize training/serving infrastructure for performance, reliability, and cost</li><li>
Establish observability (monitoring, logging/tracing, data quality, drift, alerting) and track SLOs</li><li>
Manage data/model lifecycle (registries, artifacts, rollbacks, canary/blue‑green releases)</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Add to team culture of opportunity, inclusion, diversity and respect</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficient in coding in one or more languages; Java/Python/Spark/SQL</li><li>
Expertise in Cloud Technologies like AWS</li><li>
Strong knowledge and experience of AI and Machine Learning systems and techniques.</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle</li><li>
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience with Databricks</li><li>
Establish observability (monitoring, logging/tracing, data quality, drift alerting) and track SLO's</li><li>
Familiarity with modern front-end technologies</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Software Engineer III - Data Engineering and MLOps

Foley

<div>We are looking for a Staff Data Engineer to help us design, build, and scale the data systems that power how Foley operates and grows. In this role, you will lead the development of robust data pipelines, shape our enterprise data architecture, and set the standard for how we model, govern, and access data across the organization.
You will operate as a technical leader, influencing how teams think about data, enabling better decisions, and ensuring our systems are scalable, reliable, and built for the future.<h1 class="jobSectionHeader">
What you&rsquo;ll do</h1><h3 class="jobSectionHeader">
Data Architecture &amp; Strategy</h3><ul><li>
Lead the design and evolution of our enterprise data architecture, contributing to our Enterprise Data Model (EDM) initiative</li><li>
Define standards and best practices for data modeling, storage, and access across systems</li><li>
Drive architectural decisions that balance scalability, performance, and maintainability</li></ul><h3 class="jobSectionHeader">
Pipeline Development &amp; Execution</h3><ul><li>
Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse</li><li>
Ensure high data quality, reliability, and observability across all pipelines</li><li>
Optimize data workflows for performance and efficiency</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Governance</h3><ul><li>
Own data warehouse schema design (e.g., dimensional modeling, normalization strategies)</li><li>
Define and implement role-based access control (RBAC) and data governance best practices</li><li>
Partner with stakeholders to ensure data definitions are clear, consistent, and trusted</li></ul><h3 class="jobSectionHeader">
Cross-Functional Leadership</h3><ul><li>
Act as a technical expert and partner to Engineering, Product, Analytics, and Business teams</li><li>
Influence decisions through strong communication, clear tradeoffs, and practical solutions</li><li>
Raise the bar for data engineering practices across the organization</li></ul><h3 class="jobSectionHeader">
Innovation &amp; Continuous Improvement</h3><ul><li>
Identify opportunities to improve how we work through automation, tooling, and AI</li><li>
Experiment thoughtfully with new approaches and scale what works</li><li>
Continuously improve system design, development practices, and team effectiveness</li></ul><h1 class="jobSectionHeader">
Who you are</h1><h3 class="jobSectionHeader">
Must-haves</h3><ul><li>
Deep expertise in database architecture and distributed data systems</li><li>
Strong experience building and maintaining ETL/ELT pipelines in production environments</li><li>
Proven ability to design scalable data warehouse schemas and data models</li><li>
Experience implementing data governance practices, including RBAC</li><li>
Strong software engineering fundamentals (backend systems, data processing, reliability)</li><li>
Ability to operate at a Staff level: driving technical direction and influencing across teams</li><li>
Experience with Python, SQL, AWS, Redshift, Airflow</li></ul><h3 class="jobSectionHeader">
Nice-to-haves</h3><ul><li>
Experience building or supporting machine learning (ML) pipelines in production environments</li><li>
Experience partnering with Data Science teams to develop and operationalize data products</li></ul><h3 class="jobSectionHeader">
You might thrive in this role if you:</h3><ul><li>
Think in systems and tradeoffs, not just tools or implementations</li><li>
Enjoy solving complex, ambiguous data problems and turning them into scalable solutions</li><li>
Communicate clearly with both technical and non-technical stakeholders</li><li>
Take ownership of outcomes and raise the bar for those around you</li><li>
Are curious and proactive about using new tools, including AI, to improve how work gets done</li></ul>
Location: This role is primarily remote (US-based) and operates in EST hours, with occasional travel for team collaboration and company events.
This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Massachusetts, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Wisconsin.<h1 class="jobSectionHeader">
About us</h1>
At Foley, we&rsquo;re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We&rsquo;ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer.
As we continue to grow, we&rsquo;re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that&rsquo;s passionate about building great products and supporting customers. Our core values &mdash; Teammateship, Grit, and Innovation &mdash; guide everything we do. Whether we&rsquo;re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success.
Benefits 
Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program.
Equal Employment Opportunity
 
Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic.
Reasonable Accommodations
 
If you require a reasonable accommodation during the application or interview process, please contact us at careers@foley.io
Employment Status
 
Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Compensation Range: $160K - $210K</div>

Staff Data Engineer

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