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ai/ml engineer, eb applied ai and analytics Jobs in Chicago

applied machine learning engineer – ml & ai systems Jobs in Chicago

artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

associate ai engineer

avp applied ai

The Hartford

<div>AVP Data Science - GD05AE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><h2 class="jobSectionHeader"><b>The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford&rsquo;s Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production ready models and ‑AI driven‑ decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.</b></h2><h2 class="jobSectionHeader"><b>
This role will have a </b><b>Hybrid work schedule,</b><b> with the expectation of working in an office (Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week.</b><b><i> Candidates must be eligible to work in the US without company sponsorship.
</i></b></h2><h2 class="jobSectionHeader"><b>Primary Job Responsibilities</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or lines of business. Translate enterprise and business‑unit AI priorities into multi‑year portfolio roadmaps and investment plans.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval‑augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead and develop Sr. Directors and Directors. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Provide portfolio‑level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and thoughtfully evaluate portfolio‑level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade‑offs across quality, grounding, latency, cost, scalability, and regulatory risk.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure‑mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Set portfolio‑level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout‑aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade‑offs, and investment decisions to VPs with clear options and implications.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Partner with senior leaders across Product, Technology, Operations, Claims, Underwriting, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence‑based assessments of delivery performance, evaluation outcomes, and risk considerations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Oversee portfolio‑level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Skills</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proven ability to lead Sr. Directors and Directors, building durable leadership capacity and consistent operating discipline across organizations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval‑augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior‑level decisions.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout‑aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance‑by‑design expectations.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi‑year horizons.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Ability to influence VPs and senior partners through clear, data‑driven communication of technical trade‑offs, evaluation outcomes, portfolio risks, and business impact.</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Education, Experience, Certifications and Licenses</b></h2><ul><li><h2 class="jobSectionHeader"><b>
12+ years of applicable experience with a Bachelor&rsquo;s degree; fewer years may be accepted with a higher degree. Master&rsquo;s or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.</b></h2></li><li><h2 class="jobSectionHeader"><b>
7&ndash;10+ years leading leaders, large portfolios, or complex programs.</b></h2></li></ul><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$182,400 - $273,600<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

AVP Applied AI

<div>Data Engineer - GE08AE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>The Hartford is seeking an Applied AI Engineer within EB Applied AI and Analytics to define, build, deploy, and sustain enterprise-scale applied AI solutions with significant business impact. This role carries accountability for complex, multi-domain AI systems in production and serves as a technical authority and strategic problem solver across the applied AI portfolio, while remaining hands-on with critical components.</p><p><b>
Team Description</b></p><p>
The Employee Benefits Applied AI and Analytics (EB AIA) team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB AIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations. Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, agentic AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.</p><p><b>
Responsibilities</b></p><ul><li><p>
Design, build, and maintain AI components and data pipelines that support applied AI use cases</p></li><li><p>
Contribute to the development and operation of batch and real-time data/AI pipelines supporting AI model training and inference</p></li><li><p>
Implement and maintain production AI assets in alignment with defined architecture, coding standards, and operational practices</p></li><li><p>
Collaborate closely with senior Applied AI Engineers, Data Engineers, Architects, Scientists to implement approved solution designs</p></li><li><p>
Support deployment, monitoring, and maintenance of AI services and workflows in production environments</p></li><li><p>
Apply established CI/CD, testing, and observability practices to ensure solution quality and reliability</p></li><li><p>
Assist in identifying, integrating, and validating data sources to ensure data quality and suitability for AI and analytics use cases</p></li><li><p>
Participate in code reviews, design discussions, and knowledge sharing to continue developing applied AI and data engineering expertise</p></li></ul><p><b>
Qualifications</b></p><ul><li><p>
3&ndash;6 years of experience in software engineering, data engineering, or applied AI / machine learning engineering</p></li><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, IT, MIS, or a related discipline</p></li><li><p>
Working experience with Python and SQL</p></li><li><p>
Familiarity with data/AI/ML engineering concepts, including batch or streaming pipelines</p></li><li><p>
Exposure to deploying applications or data workflows in AWS, Azure, or GCP</p></li><li><p>
Ability to work effectively within defined architectural, security, and engineering</p></li></ul><p><i>
This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
</i></p><p><i>Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</i></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$100,960 - $151,440<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

AI/ML Engineer, EB Applied AI and Analytics

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're looking for experienced entrepreneurship educators and business experts to help shape how AI understands startups, innovation, and business planning. Your real-world knowledge will directly improve the quality and accuracy of AI systems used by learners, founders, and business professionals worldwide.
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   Organization: Alignerr (Powered by Labelbox)
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   Type: Hourly Contract
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   Location: Remote
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   Commitment: 10&ndash;40 hours/week
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  </li>
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  What You'll Do
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   Review AI-generated startup and entrepreneurship scenarios for accuracy and real-world relevance
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   Evaluate business models, assumptions, and go-to-market strategies against practical standards
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   Identify unrealistic financial projections, flawed logic, or misleading advice
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   Provide structured, expert feedback to improve the quality of AI training content
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   Work independently and asynchronously &mdash; on a schedule that fits your life
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  Who You Are
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   3+ years of experience teaching entrepreneurship, small business, or startup strategy
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   Strong working knowledge of business models, early-stage decision-making, and venture economics
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   Able to critically evaluate written business plans and identify weaknesses with confidence
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   Comfortable providing practical, applied feedback grounded in real business experience
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   Self-motivated and reliable when working independently
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  Nice to Have
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   MBA or graduate degree with an entrepreneurship focus
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   Experience as a founder, operator, or startup advisor
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   Familiarity with AI systems or content evaluation workflows
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  Why Join Us
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   Work on cutting-edge AI projects with top research labs
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   Fully remote and flexible &mdash; work on your own schedule
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   Freelance perks: autonomy, variety, and global collaboration
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   Contribute to meaningful work that shapes how AI teaches and advises the next generation of entrepreneurs
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   Potential for ongoing work and contract extension
  </li>
 </ul>
</div>


Entrepreneurship Instructor (AI Training)

Robert Half

<div>
 <p>
  <strong>
   Position Intel:
  </strong>
  This is part of a new team built out to oversee the internal LLM and AI platforms. This person will be part of a four person AI group however they will be working with many other technical teams and no technical stakeholders across the organization. This person will be responsible for building the agentic workflow systems. Someone who is more of a developer background such as Python/Node would be ideal. Also someone who is in a machine learning function but wants to get away from the training and more into business logic side would be a fit as well. This person will be writing code to do orchestration, integrate business logic, and more complex tasks than a typical model training/tuning. Looking for this person to be involved with applied data science, n8n, understanding agentic workflow patterns, MCP tools, integrations, RAG implementation, and Python. An example would be creating the chat bot to query data sources, this can be in low code/no code but must have worked with code. Because this is a new division for the organization someone proven in the AI world will be a valuable asset. There is already a roadmap in place however this person will also be looked at to make suggestions, improvements, and champion future initiatives. If someone would like to be a true lead/manager of others this position allows for individual contributor but also formal lead structure. This is all on a Nvidia backed infrastructure.
 </p>
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  <strong>
   Top Requirements:
  </strong>
 </p>
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  <li>
   Experience working on/in AI &amp; LLM platforms or services
  </li>
  <li>
   Developer or Machine Learning background
  </li>
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   Nvidia AI Enterprise Components- ideal not required.
  </li>
 </ul>
 <p>
  <br/>
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  &ldquo;Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.&rdquo;
 </p>
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 </p>
</div>


Artificial Intelligence Engineer

Zurich Insurance

<div><div>Zurich North America is hiring an AVP, Underwriting Manager to join our Excess Casualty Team underwriting team in Zurich&rsquo;s Chicago, IL office. While this position will be based out of a Zurich office, you will have the flexibility to work on a hybrid basis. You will partner with your manager to set a flexible work schedule that supports you, our customers, and our brokers and agents. This role will require you to be visible in the marketplace to meet with our agents and brokers and be in the office/market three days per week.</div><div><br>
As a member of Zurich's Underwriting management team, you will enjoy the opportunity to fully apply and hone your underwriting management and marketing skills. Specifically, you will manage a market facing underwriting unit, and aid in making appropriate underwriting decisions.</div><div></div><div><br>
There will be approximately 25% travel for this position.</div><div><br>
In this role you will be responsible for:</div><br>
<div></div><ul><li>
Managing market facing underwriters and underwriting associates who proactively seek renewal and new account opportunities.</li><li>
Identifies new growth opportunities with key distributors for areas of responsibility.</li><li>
Ensure that accounts are qualified, and meet with the organization's appetite, balanced with sound business opportunity.</li><li>
Along with underwriters in areas supervised, make agents/broker/customer and on-sight calls with a planned and well-prepared purpose.</li><li>
Oversee negotiations of Terms &amp; Conditions and closes deals.</li><li>
Ensure cross-sell within areas of responsibility to increase product density with the account.</li><li>
Provide continuous coaching on sales best practices, mentor staff to develop strong broker and client networks as related to industries underwritten by Business Unit.</li></ul><div></div><div><br>
Basic Qualifications (AVP Level):</div><br>
<ul><li>
High School Diploma or Equivalent and 7 or more years of experience in the Underwriting or Market Facing area<br>
OR</li><li>
High School Diploma or Equivalent and 14 or more years of experience in the Claims or Underwriting Support area<br>
OR</li><li>
Zurich Certified Insurance Apprentice including an Associate Degree and 5 or more years of experience in the Underwriting or Market Facing area<br>
AND</li><li>
2 or more years of management experience</li></ul><div></div><div><br>
Preferred Qualifications:</div><br>
<ul><li>
CPCU</li><li>
Advanced knowledge of Excess Casualty product lines, the commercial insurance industry</li><li>
Strong Broker relationships in the Midwest region</li><li>
Excellent communication skills</li><li>
Excellent skills in relationship building</li><li>
Strong presentation skills</li><li>
Results oriented</li></ul><p></p><p><br>
Your pay at Zurich is based on your role, location, skills, and experience. We follow local laws to ensure fair compensation. You may also be eligible for bonuses and merit increases. If your expectations are above the listed range, we still encourage you to apply&mdash;your unique background matters to us. The pay range shown is a national average and may vary by location. The proposed salary range for this position is $167,600.00 - $274,500.00, with short-term incentive bonus eligibility set at 20%.</p><p></p><p><br>
We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards here.]</p><p></p><p><b><br>
Why Zurich?</b></p><p>
At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment&mdash;so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500&reg;.</p><p></p><p><br>
Join us for a brighter future&mdash;for yourself and our customers.</p><p></p><p><br>
Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets.</p><p></p><p><br>
Zurich complies with 18 U.S. Code &sect; 1033.</p><p></p><p><b><br>
Please note:</b> Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal.</p><p></p><p><br>
Location(s): AM - Chicago<br>
Remote Working: Hybrid<br>
Schedule: Full Time<br>
Employment Sponsorship Offered: No
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Linkedin Recruiter Tag: #LI-JJ1 #LI-DIRECTOR #LI-HYBRID</p></div><p></p>

AVP, Underwriting Manager- Excess Casualty

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.<br>
<br>
Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon&rsquo;s unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers&rsquo; businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We approach this challenge by blending vision with curiosity, and Amazon&rsquo;s real-world experience, to build opinionated, turn-key solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
<br>
We are seeking an experienced and strategic-minded Field Activation Lead to join the Applied AI Solutions GTM acceleration team and work closely with senior leaders, to ensure that we are aligned and working as single organization to achieve our strategic goals. This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization.
<br>
<br>
This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed. This role partners with domain-specific activation leads to harmonize GTM and technical enablement across Amazon Connect, Agentic Workspaces, and emerging services, ensuring the field can articulate the full portfolio value proposition to customers and sell integrated solutions.
<br>
<br>
You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions. This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks. You must be comfortable taking risks and raising the bar for new ways of doing things. Strong analytical, Think Big, Invent &amp; Simplify skills are crucial for success in this position.<br>
<br>
Key job responsibilities<br>
1. Lead the development and execution of comprehensive AAIS portfolio enablement strategy, ensuring alignment with overall GTM objectives and service team priorities<br>
2. Design and implement scalable field training programs, leveraging AI-powered tools and platforms to maximize reach and effectiveness across AWS's global sales organization<br>
3. Own and optimize AWS enablement tools (including Alchemy) for AAIS content management, ensuring high-quality, accessible resources for field teams<br>
4. Build and maintain measurement frameworks to evaluate enablement effectiveness, providing data-driven insights to optimize field performance and program impact<br>
5. Coordinate and execute strategic enablement initiatives including roadshows, training events, and certification programs across regions<br>
6. Develop and maintain comprehensive sales enablement content, ensuring consistency across the AAIS portfolio while maximizing use of AI for scale<br>
7. Create and manage feedback loops between field teams, product development, and GTM leadership to continuously improve enablement effectiveness<br>
8. Drive integration with existing AWS field scaling programs while identifying opportunities for AAIS-specific enhancements<br>
9. Partner with cross-functional teams (Marketing, Training, Service teams) to ensure aligned messaging and maximize resource utilization across enablement initiatives<br>
<br>
About the team<br>
Diverse Experiences<br>
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred 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>
<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>
<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
<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>
<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.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of developing, negotiating and executing business agreements experience</li><li>Bachelor's degree</li><li>Experience developing strategies that influence leadership decisions at the organizational level</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience interpreting data and making business recommendations</li><li>MBA</li><li>Experience creating, improving and executing engagement programs and action plans</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 Diego - 147,900.00 - 200,100.00 USD annually<br>
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually<br>
USA, CA, Santa Monica - 147,900.00 - 200,100.00 USD annually<br>
USA, GA, Atlanta - 147,900.00 - 200,100.00 USD annually<br>
USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually<br>
USA, NY, New York - 162,700.00 - 220,200.00 USD annually<br>
USA, VA, Herndon - 147,900.00 - 200,100.00 USD annually<br>
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually</div><p></p>

Worldwide Field Activation Lead, Applied AI Solutions

Applied Machine Learning Engineer – ML & AI Systems

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