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agentic ai engineer

FocusKPI Inc.

<div><p>We are seeking an <b>Agentic AI Engineer</b> to support the development of a customized AI agent solution for one of our clients.<br>
<br>
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.<br>
<br>
<b>Environment:</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
<b>Work Location:</b><b> </b>Remote position (40 hours per week)<br>
<b>Duration:</b> Full-time role<br>
<b>Pay-rate:</b> $30+/hr<br>
<br>
<b>**No C2C resumes are considered**</b><br>
<br>
<b>Responsibilities:</b></p><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><p><b>
Qualifications:</b></p><ul><li>
A minimum of <b>2 years</b> of experience is required</li><li><b>
Education requirements:</b> Master's degree</li><li><b>
Mandatory skills:</b> 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><p><b>
Nice to have:</b></p><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><p></p><p>
Thank you!</p><p>
FocusKPI Hiring Team</p><p>
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.</p><p>
</p><p><b>NOTICE: </b>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/ .<br>
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p><p>
</p><p>DC4HSZaJiV</p></div>

Agentic AI Engineer

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Senior AI Platform Engineer</b></h2>
<p>
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.</p>
<p>
As a <b>Senior AI Platform Engineer</b>, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale.</p>
<p><i>
This role is hybrid and based in Boston.</i></p>
<p><b>
How you'll make a difference:</b></p>
<ul>
<li>Design and build backend systems to scale AI solutions for 167K+ customers.</li>
<li>Contribute to our agentic architecture to support performant AI agents.</li>
<li>Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray.</li>
<li>Develop reliable, scalable data pipelines and APIs for AI systems.</li>
<li>Foster a culture of ownership, experimentation, and customer-first thinking.</li>
</ul>
<p><b>Who You Are:</b></p>
<p><i>
We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning!</i></p>
<ul>
<li>5+ years of experience as a backend software engineer, building scalable, distributed systems.</li>
<li>Strong experience working in production environments and launching ML/AI projects.</li>
<li>Hands-on experience with generative AI and agentic AI applications in production.</li>
<li>Proficient in Python (or similar).</li>
<li>Comfortable collaborating with cross-functional technical partners.</li>
<li>Curious, proactive, and eager to learn.</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Experience with big data tools (e.g., Apache Spark, Ray).</li>
<li>Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes).</li>
<li>Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras).</li></ul><br>
<p></p>
<p>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p>
<p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior AI Platform Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
<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><br>
About the team<br>
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.<br>
About AWS<br>
Diverse Experiences<br>
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.
<br>
<br>
Why AWS?<br>
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.<br>
<br>
Inclusive Team Culture<br>
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.<br>
<br>
Mentorship &amp; Career Growth<br>
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.
<br>
<br>
Work/Life Balance<br>
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.<br>
<br>
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, San Francisco - 130,500.00 - 176,000.00 USD annually<br>
USA, MA, Boston - 118,600.00 - 160,000.00 USD annually<br>
USA, VA, Arlington - 118,600.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 118,600.00 - 160,000.00 USD annually</div><p></p>

Product Marketing Manager - Tech, AWS AI Marketing

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p></p><p>
CVS Media Exchange [CMX] is building the next generation of retail &amp; health media technology. We empower suppliers, merchants, store teams, brand advertisers, and agencies through full‑funnel media solutions powered by CVS&rsquo;s unmatched in‑store and online data. Our reach, scale, and insight capabilities enable measurable outcomes&mdash;and we&rsquo;re only getting started.</p><p></p><p>
At the center of this transformation is a foundational, end‑to‑end campaign lifecycle platform that supports how campaigns are sold, planned, activated, optimized, measured, and billed across CMX&rsquo;s onsite, in store, offsite, and experiential experiences.</p><p></p><p>
We are seeking a Senior Product Manager to help define and build this platform&mdash;owning core capabilities across sales and campaign workflows while identifying and activating AI‑driven and agentic use cases that improve how CMX operates at scale. This individual contributor role would be ideal for a hands‑on platform builder who thrives in ambiguity, is comfortable navigating complex systems, and is motivated by building durable product foundations that unlock speed, consistency, and automation across teams.</p><p></p><p><b>
Key Responsibilities</b></p><p>
Platform &amp; Product Leadership</p><ul><li>
Own core components of an end‑to‑end campaign lifecycle platform, spanning pre-sales, campaign setup, activation, optimization, measurement, and billing.</li><li>
Help define a unified product strategy that serves as a shared foundation across CMX products rather than a standalone point solution.</li><li>
Translate long‑term platform vision into a phased, executable roadmap that balances near‑term delivery with long‑term scalability.</li></ul><p></p><p>
AI Use Case Assessment &amp; Activation</p><ul><li>
Partner with Product, Engineering, Data Science, and Operations to identify, evaluate, and prioritize AI and agentic use cases across the campaign lifecycle.</li><li>
Help activate AI‑driven capabilities that improve CMX internal operations, including workflow efficiency, decision support, automation, and campaign execution quality.</li><li>
Ensure AI capabilities are thoughtfully integrated into the platform roadmap with clear business value, guardrails, and success metrics.</li></ul><p></p><p>
End‑to‑End Product Development</p><ul><li>
Lead the full product lifecycle from discovery through launch and iteration, including requirements definition, discovery &amp; scoping, and delivery.</li><li>
Work closely with Engineering and Architecture on platform design decisions, including APIs, data models, and extensibility.</li><li>
Write clear, outcome‑oriented product requirements that align business goals with technical execution.</li><li>
Define success metrics across adoption, operational efficiency, and platform performance.</li></ul><p></p><p>
Collaboration &amp; Cross‑Functional Influence</p><ul><li>
Act as a connective layer across CMX teams, ensuring alignment between campaign platform capabilities and onsite and in store, offsite, self‑service, and future product needs.</li><li>
Partner with Sales, Operations, and Client Success to ensure the platform improves both internal execution at scale and advertiser experience.</li><li>
Communicate product strategy, tradeoffs, and progress clearly to senior stakeholders and leadership.</li></ul><p></p><p><b>
Office Location</b></p><p>
This role is remote or hybrid and commutable to one of the following Corporate Hubs, which requires working in the office 2 days a week (Tuesday - Wednesday):</p><ul><li>
New York, NY &ndash; Soho office</li><li>
Boston or Wellesley, MA</li><li>
Woonsocket, RI</li><li>
Blue Bell, PA</li><li>
Chicago, IL</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
5+ years of experience in product management with a strong understanding of end‑to‑end product lifecycle management</li><li>
2 + years of proven experience delivering complex, cross‑functional products with multiple stakeholder groups ideally spanning platform AdTech, MarTech, or data‑driven systems</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience building or scaling platforms, shared services, or foundational product layers</li><li>
Familiarity with campaign workflows, ad tech systems, or retail media ecosystems</li><li>
Experience evaluating or implementing AI‑driven features, automation, or decision‑support systems</li><li>
Comfort operating in ambiguous problem spaces and early‑stage platform builds</li><li>
Experience partnering closely with engineering on technical product decisions</li><li>
Analytical, structured problem‑solver with a data‑driven approach</li><li>
Strong written and verbal communication skills, including executive‑level storytelling</li><li>
Experience in healthcare, retail, or highly regulated environments a plus</li></ul><p></p><p><b>
Education</b></p><p>
Bachelor&rsquo;s degree in a relevant field or equivalent (HS Diploma and 4 years of experience) required</p><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$82,940.00 - $199,144.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
We anticipate the application window for this opening will close on: 05/31/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Product Manager - Campaign Lifecycle Platform - CVS Media Exchange (CMX)

WilmerHale

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  What You Will Be Doing
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <strong>
  What You Will Bring to This Position
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
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   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
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   4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
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   Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)
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  Education
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   Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.
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  Our Commitment
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 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.
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 For more information about Equal Employment Opportunity, please click here.
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 Hire in salary range is $135,000 - $169,000
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   For additional information about our benefits, please click here
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 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.
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Artificial Intelligence (AI) Engineer

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Software Engineer II - Analytics Data Engineering | AI &amp; Analytics Data Enablement</b></h2>
<p>
Location: Boston, MA</p>
<h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p>
Data is the lifeblood of Klaviyo. As a Data Engineer on this team, you will sit at the intersection of infrastructure and intelligence. You won't just be moving data; you'll be building the foundations that power our next generation of AI-driven features and enterprise-scale analytics.</p>
<p>
You will bridge the gap between data engineering and product impact. Your work will involve developing scalable Spark pipelines, tuning our storage and query patterns to ensure low-latency performance for our enterprise customers, and modeling the high-impact datasets that drive Klaviyo's analytics and machine learning engines.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3>
<ul><li><b>Build Production-Grade Foundations</b>: Develop and maintain scalable data pipelines and core tables using PySpark, Airflow, and dbt. You will implement the foundational datasets that power our AI, ML, and Analytics products.</li>
<li><b>Optimize for Enterprise Performance</b>: Tune Spark jobs and storage patterns to ensure low-latency data retrieval. You will help implement materialized views and efficient partitioning strategies to support high-performance reporting at scale.</li>
<li><b>Treat Data as a Product</b>: Contribute to the full lifecycle of datasets. This includes defining clear data contracts with upstream teams, writing maintainable code via peer reviews, and ensuring every asset is well-documented and trusted by downstream users.</li>
<li><b>Drive Operational Excellence</b>: Ensure the reliability of our data engine by monitoring for freshness, volume anomalies, and schema changes. You will be responsible for ensuring that when a customer loads a dashboard, the data is accurate and on time.</li>
<li><b>Partner Cross-Functionally</b>: Collaborate with Product, Engineering, and AI/ML teams to define consistent metrics that align with business goals. You will act as a bridge to ensure new features land with robust data support.</li>
<li><b>Innovate with AI</b>: Look for opportunities to put AI at the center of your workflow, whether it is using AI to generate tests, detect data anomalies, or accelerate complex analysis.</li>
</ul><h3 class="jobSectionHeader"><b>Who You Are</b></h3>
<ul><li><b>The Experience:</b> 2+ years of experience in data engineering or a data-intensive software engineering role. You've moved past the &quot;beginner&quot; phase and are comfortable taking a project from a design doc to a production deployment.</li>
<li><b>Fluent in SQL and Python:</b> You have a solid grasp of SQL for high-performance querying and are comfortable using Python for data manipulation and automation. You focus on writing code that balances speed with reliability.</li>
<li><b>Distributed Systems Knowledge:</b> You have hands-on experience with Spark (PySpark/SparkSQL) and understand how to tune jobs for performance in a cloud environment (AWS/EMR).</li>
<li><b>Modeling Intuition:</b> You understand the difference between a &quot;raw table&quot; and a &quot;semantic layer.&quot; You've worked with modern modeling tools (like dbt) and understand partitioning, schema evolution, and lakehouse concepts (Iceberg/Delta).</li>
<li><b>Performance Minded:</b> You care about latency. You enjoy the challenge of making a query run faster and understand how to use materialized views and caching effectively.</li>
<li><b>Collaborative &amp; Curious:</b> You're an inclusive collaborator who enjoys working with Product and Data Science. You're excited to experiment with AI tools to make your own engineering workflow more efficient.</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Haves</b></h3>
<ul><li>Experience with Iceberg table maintenance and compaction.</li>
<li>Exposure to Terraform or other Infrastructure-as-Code tools.</li>
<li>A background in Martech or SaaS platforms dealing with high-frequency event data.</li>
<li>Experience building data products that directly power customer-facing UI components and/or support AI/ML features.</li>
<li>Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.</li>
<li>Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).</li>
<li>Familiarity with statistical modeling and machine learning.</li>
</ul><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
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<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
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<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Software Engineer II - Analytics Data Engineering

Liberty Mutual Insurance

<div><b>Description
</b><div><p><b>Senior Data Engineer, Cloud &amp; Core Data Warehouse</b></p><p></p><p><br>
At Liberty Mutual Investments Technology, we are building a modern, cloud-based data platform to power investment insights and decision-making across our portfolio. We are seeking a <b>Senior Data Engineer</b> to join our Core Data team, focused on designing and delivering scalable data warehouse solutions in Snowflake on AWS. In this role, you will develop high-quality data pipelines and solutions that enable trusted, accessible data for our investment teams. You&rsquo;ll have the opportunity to work hands-on with emerging AI capabilities&mdash;including Snowflake&rsquo;s latest AI Cortex features&mdash;while leveraging and helping shape the rollout of AI-powered developer tools to accelerate innovation and modernize how we build data solutions. You&rsquo;ll work in a collaborative, agile environment alongside engineers, analysts, and business partners, helping to shape the evolution of our data platform while contributing to a culture of continuous learning and engineering excellence.</p><p></p><p><br>
Note: This role will have a hybrid work arrangement in our Boston office (2x per week)</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Design, build, and maintain scalable data pipelines and data solutions that support analytics and investment insights.</li><li>
Develop data provisioning workflows, transformations, and integrations using Snowflake&rsquo;s cloud-native capabilities in an AWS environment.</li><li>
Apply data warehousing best practices, including data modeling, performance optimization, and scalable architecture design.</li><li>
Build and enhance ELT pipelines using Snowflake and Python to ensure reliable and efficient data processing.</li><li>
Partner with data engineers, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions.</li><li>
Support and enhance data quality, governance, and observability practices across the platform.</li><li>
Contribute to CI/CD pipelines and deployment processes, improving automation and reliability of data workflows.</li><li>
Work with enterprise orchestration tools (e.g., ActiveBatch, transitioning to Stonebranch) to manage and schedule data workflows.</li><li>
Participate in code reviews, knowledge sharing, and mentoring, helping to elevate engineering practices across the team.</li><li>
Stay current with evolving data engineering tools and practices, and recommend improvements where appropriate.</li></ul><p></p><p><b><br>
About Us</b></p><p>
Liberty Mutual Investments manages Liberty Mutual Insurance Group&rsquo;s global financial assets across public and private markets. Our technology team partners closely with investment professionals to deliver innovative data and analytics solutions that support informed decision-making and long-term growth. We are committed to fostering an inclusive, collaborative environment where employees can grow their careers while making a meaningful impact.</p></div><b>
Qualifications</b><div><ul><li>
Bachelor&rsquo;s degree in a technical or business discipline, or equivalent experience.</li><li>
5+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines and data platforms.</li><li>
Strong proficiency in SQL and solid understanding of data modeling and data warehousing concepts.</li><li>
Experience with Snowflake and AWS services (e.g., S3, Lambda) in a cloud-based data environment.</li><li>
Experience using Python for data transformation, integration, or automation.</li><li>
Familiarity with ELT/ETL pipeline development and modern data architecture patterns.</li><li>
Experience with CI/CD tools and practices (e.g., GitHub Actions, Bamboo, Jenkins, or similar).</li><li>
Experience working with or exposure to workflow orchestration tools.</li></ul><p></p><p><br>
Highly candidates will also have:</p><ul><li>
Experience in investments, asset management, or financial services.</li><li>
Familiarity with API-based integrations (e.g., REST services).</li><li>
Exposure to data governance, security, and access control practices.</li><li>
Experience with modern data tooling (e.g., data observability, cataloging, or transformation frameworks).</li></ul></div><b>
About Us</b><p><b>
Pay Philosophy:</b> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.</p><p></p><p><br>
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.</p><p></p><p><br>
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits<br>
<br>
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.<br>
<br>
<b>Fair Chance Notices</b></p><ul><li>
California</li><li>
Los Angeles Incorporated</li><li>
Los Angeles Unincorporated</li><li>
Philadelphia</li><li>
San Francisco</li></ul></div>

Senior Data Engineer, Investments Technology

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