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ai/machine learning data engineer Jobs in Chicago United States

ai/machine learning data engineer

ai/ml engineer (senior associate) - remote Jobs in Chicago United States

applied ai/ml - senior associate Jobs in Chicago United States

applied ai/ml - senior associate

asset protection associate (part-time) Jobs in Chicago United States

asset protection associate (part-time)

applied ai ml senior associate

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
n/a</p>
<b>ABOUT US</b><br>
<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><p></p><div><p>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.
</p><div><p>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.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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>

Applied AI/ML - Senior Associate

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. You&rsquo;ll help design, build, and deploy intelligent systems that leverage a range of technologies&mdash;from machine learning to generative AI and agent-based architectures&mdash;to solve complex, real-world problems.<br>
This role spans the full AI solution lifecycle: data preparation, model development, application integration, and ongoing evaluation. You will collaborate closely with architects, and domain experts to ensure the AI solutions you help build are intelligent, reliable, and aligned with client goals.<br>
We work across industries and use cases, from early-stage prototypes to production-ready deployments, and we're continuously exploring new AI paradigms&mdash;including AI agents, agent orchestration layer, model chaining, and self-evaluating systems. If you&rsquo;re excited by emerging AI technologies, fast-moving teams, and applied problem-solving, this is the role for you.<div></div><div><b>
Key Responsibilities</b></div><ul><li><div>
Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings</div></li><li><div>
Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar</div></li><li><div>
Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption</div></li><li><div>
Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training</div></li><li><div>
Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning</div></li><li><div>
Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production</div></li><li><div>
Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case</div></li><li><div>
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities</div></li><li><div>
Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives</div></li><li><div>
Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution</div></li></ul><div></div><div><b>
Required Qualifications</b></div><ul><li><div>
3+ years of hands-on experience in AI/ML development or intelligent application engineering</div></li><li><div>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field</div></li><li><div>
Experience in Python</div></li><li><div>
Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</div></li><li><div>
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</div></li></ul><div></div><div><b>
Preferred Qualifications</b></div><ul><li><div>
5+ years of hands-on experience in AI/ML development or intelligent application engineering</div></li><li><div>
Proficiency in Python</div></li><li><div>
Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</div></li><li><div>
Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks</div></li><li><div>
Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases</div></li><li><div>
Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</div></li><li><div>
Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services</div></li><li><div>
Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus</div></li><li><div>
Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus</div></li><li><div>
Knowledge of AI system evaluation, observability, or prompt performance testing is a plus</div></li><li><div>
Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences</div></li><li><div>
Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus</div></li><li><div>
Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills</div></li><li><div>
Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery</div></li></ul><div></div><div>
Flexible living locations across US or Canada, ability to travel as needed.</div><div><br>
The estimated base salary for this job is $130,000 - $160,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $145,600 - $188,800 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.<br>
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#LI-CL1<br>
#LI-REMOTE</div><div></div><h2 class="jobSectionHeader"><b>
Position Level</b></h2>
Senior Associate<div></div><h2 class="jobSectionHeader"><b>
Country</b></h2>
United States of America</div>

AI/ML Engineer (Senior Associate) - Remote

Stratosys Technologies LLC

<p><b>About the role:</b><br/>We are seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for our insurance operations. You will design, develop, and deploy advanced GenAI solutions like RAG and Agentic AI workflows to optimize risk assessment, claims automation, fraud detection, and personalized underwriting. Leading a team, you'll integrate AI into production systems on Cloud platforms, drive model performance, and align innovations with business goals in the dynamic insurance landscape.</p><p><b>Key Responsibilities:</b></p><p><b>Generative AI &amp; Agentic Workflows:</b></p><ul><li>Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of LLMs, and frameworks like LangGraph/LangChain to automate insurance processes such as policy binding and claims adjudication.</li><li>Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution.</li><li>Evaluate LLMs for accuracy, bias mitigation, and alignment with insurance regulations (e.g., IRDAI compliance).</li></ul><p><b>Model Development &amp; Deployment:</b></p><ul><li>Architect, build, and refine ML/GenAI models (traditional and generative) to tackle insurance challenges like predictive analytics for market risk, anomaly detection in claims, and isolation forests for fraud.</li><li>Deploy scalable models in production on AWS/Azure/GCP.</li><li>Optimize models using performance metrics, feedback loops, and A/B testing for cost-efficiency and reliability.</li></ul><p><b>Leadership &amp; Collaboration:</b></p><ul><li>Lead cross-functional teams to integrate AI into existing workflows, enhancing efficiency in underwriting, binding authority, and operations.</li><li>Develop robust benchmarks, evaluation metrics, and monitor model drift/bias in large insurance datasets.</li><li>Stay ahead of AI advancements, mentoring juniors and presenting insights to stakeholders.</li></ul><p><b>Qualifications &amp; Talents:</b></p><ul><li>Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Data Science, or related field.</li><li>10+ years in ML/Data Science, with 3+ years leading GenAI projects in insurance/finance.</li><li>Expertise in Python, ML libraries (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), and GenAI frameworks (LangChain, LangGraph).</li><li>Strong stats, algorithms, data structures; experience with large datasets, visualization (Matplotlib, Seaborn, Tableau).</li><li>Excellent communication, problem-solving, and team leadership skills.</li><li>Passion for AI innovation and insurance domain knowledge (e.g., binding authority, actuarial models).</li></ul><p>Pay: $70.00 - $75.00 per hour</p><p>Benefits:</p><ul><li>Referral program</li></ul><p>Work Location: Hybrid remote in Chicago, IL 60617</p>

Lead Data Scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>AI Engineer</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div><ul><li> 4&ndash;8+ years of experience in software engineering, ML engineering, or AI solution development
</li></ul><ul><li> Strong proficiency in Java and experience
</li></ul><ul><li> Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
</li></ul><ul><li> Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
</li></ul><ul><li> Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
</li></ul><ul><li> Familiarity with Docker, Kubernetes, and CI/CD pipelines
</li></ul><ul><li> Strong problem solving, communication, and stakeholder collaboration skills</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>We are seeking a highly skilled Java + AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that solve real business problems. The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise.
</div><div>________________________________________
</div><div>Key Responsibilities
</div><ul><li> Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
</li></ul><ul><li> Translate business use cases into production ready AI solutions with measurable outcomes
</li></ul><ul><li> Deep knowledge in Java streams technology
</li></ul><ul><li> Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
</li></ul><ul><li> Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
</li></ul><ul><li> Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
</li></ul><ul><li> Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
</li></ul><ul><li> Ensure Responsible AI, security, compliance, and data privacy by design
</li></ul><ul><li> Support production deployments, performance tuning, and continuous improvement of AI systems</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div><div>#LI-OJ1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Chicago, IL</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404939</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Engineer

Acosta Group

<div><p>Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta&rsquo;s internal operations and decision-making capabilities. This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio.</p><p>
The ideal candidate will have hands-on experience with cloud platforms (preferably Azure), agentic frameworks (e.g., LangChain), Large Language Models (LLMs), and generative AI techniques including fine-tuning and Retrieval-Augmented Generation (RAG). Proficiency in Python and SQL is essential, along with a solid understanding of vector databases, semantic search, and dimensional data modeling. Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued.</p><p>
Beyond technical implementation, the AI Engineer will provide second- and third-level support, mentor business users and citizen developers, and collaborate with cross-functional teams to embed AI into business-critical workflows. The role also supports Acosta&rsquo;s broader AI initiatives by enabling infrastructure readiness, contributing to the AI Center of Excellence, and integrating intelligent automation tools across the enterprise.</p><p></p><p><br>
This is a <b>hybrid role</b> based in our office environment. Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs.</p><p>
Essential Functions of this Position</p><ul><li>
Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives</li><li>
API Development &amp; Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.</li><li>
Vectorization &amp; Embeddings: Expertise in vector databases and semantic search.</li><li>
Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio</li><li>
Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365</li><li>
Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices</li><li>
Provide second- and third-level support for AI-related incidents, enhancements, and deployments</li><li>
Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads</li><li>
Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption</li><li>
Mentor and support business users and citizen developers in building and scaling AI-powered solutions</li><li>
Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement</li><li>
Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity</li><li>
Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy</li><li>
Maintain and enforce change control processes.</li><li>
Assist in developing and maintaining operational standards and best practices.</li><li>
Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.</li><li>
Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.</li><li>
Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).</li><li>
Perform other duties as required and/or assigned.</li></ul><p>
Applicants must be <b>legally authorized to work in the United States and/or Canada</b> without the current or future need for <b>employer-sponsored work authorization</b>.</p><p>
Minimum Education and Work Experience</p><ul><li>
Bachelor&rsquo;s Degree in Technology Industry is preferred or equivalent work experience</li><li>
High School Diploma/ GED is required</li><li>
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.</li><li>
Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).</li></ul><p>
Knowledge, Skills, and Abilities Requirements</p><ul><li>
Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.</li><li>
Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).</li><li>
Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).</li><li>
LLMs &amp; Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.</li><li>
Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI</li><li>
Familiarity with MLOps practices and tools for model lifecycle management and monitoring</li><li>
Understanding of responsible AI principles, including fairness, transparency, and data privacy</li><li>
Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape</li><li>
Experience with cloud-based development environments, particularly Microsoft Azure</li><li>
Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response</li><li>
 Excellent communication skills (both written and oral) combined with strong interpersonal skills.</li><li>
Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.</li></ul><p><br>
Physical Requirements</p><ul><li>
Seeing</li><li>
Listening</li></ul><p></p><p><br>
The incumbent(s) in this position should exhibit the following Acosta values:</p><ul><li>
People Minded &ndash; Must show dignity and respect to all people</li><li>
Integrity &ndash; Must exemplify the highest degree of ethical behavior</li><li>
Results Oriented &ndash; Must show passion, pride and commitment to succeed</li><li>
Trust &ndash; Must be honest, sincere and confident</li><li>
Teamwork &ndash; Must build trusting relationships</li><li>
Innovation &ndash; Must progress through a combination of creativity, common sense and vision</li><li>
Balance &ndash; Must maintain an optimistic attitude and keep perspective on what is important in life.</li></ul><div>
Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies&mdash;Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing.</div><br>
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</div><div>We recognize our associates are the foundation of our success. That&rsquo;s why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions&mdash;whether you&rsquo;re looking for part-time flexibility or full-time career advancement.</div><br>
<div>
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</div><div>Ready for a career path that&rsquo;s as unique as you? Discover your path at Acosta Group!</div><br>
<div>
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</div><div>Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. Be sure to include &quot;Applicant Accommodation&quot; in the subject of your email to expedite the request.</div><br>
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</div><div>Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting.</div><div><br>
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</div><div><p>The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov)</p></div><div><br>
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</div><div>By applying, you agree to our Privacy Policy and Terms and Conditions of Use.</div><br>
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</div><div><b>#DiscoverYourPath</b></div></div>

AI/Machine Learning Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AWS Global Sales drives adoption of the AWS cloud, enabling retail customers of all sizes to innovate and expand in the cloud. Our team empowers every retail customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.<br>
<br>
Amazon Web Services is looking for a highly motivated Solutions Architect to help accelerate retail customer adoption. This is an excellent opportunity to join Amazon&rsquo;s world class technical teams, working with some of the best and brightest engineers, architects and technical managers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies anywhere.<br>
<br>
As a Solutions Architect at AWS you will work directly with retail customers. We are looking for individuals who are motivated by the opportunity to work backwards from these customers' needs and help them gain competitive edge using AWS. As an experienced technologist and key member of the Account team you will help influence customers' architectural choices across broad use cases involving security, compute, storage networking as well as advanced scenarios involving serverless, analytics, and AI/ML.<br>
<br>
As a part of the role, you will provide exceptional technical design guidance and thought leadership. You will lead efforts to capture and share best-practice knowledge with the AWS solution architect community. You will also gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture.<br>
<br>
Key job responsibilities<br>
In this role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon Web Services within large Retail &amp; CPG enterprises. Broad responsibilities will include: owning the technical engagement and ultimate success around specific implementation projects, working cross-organizationally to facilitate widespread use and adoption of the AWS platform, and developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform.
<br>
<br>
The ideal candidate will possess customer facing, grit and technology skills that will allow them to represent AWS well within the customer&rsquo;s environment and drive discussions with senior personnel regarding trade-offs, best practices, and risk mitigation. You should also have a demonstrated ability to think strategically about business, product, and technical challenges.<br>
<br>
About the team<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>
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Work/Life Balance<br>
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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.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>6+ years of IT development or implementation/consulting in the software or Internet industries experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in a technical role within a sales organization</li><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>Experience working or consulting in the retail sector.</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>
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, IL, Chicago - 153,600.00 - 207,800.00 USD annually<br>
USA, MN, Minneapolis - 153,600.00 - 207,800.00 USD annually<br>
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually</div><p></p>

Sr. Solutions Architect, Enterprise (Retail, Restaurant & CPG)

84.51°

<div><div><p><b>84.51&deg; Overview:</b></p>
<p>
84.51&deg; is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.</p>
<p>
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51&deg; Insights, 84.51&deg; Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.</p>
<p><i>
84.51&deg; follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.</i></p>
<p>
Join us at 84.51&deg;!</p>
<p>
__________________________________________________________</p></div><p></p><p><b><br>
SENIOR AGILE DELIVERY (G2) P3176</b></p>
<p><b>
LOCATION: Cincinnati, Chicago</b></p>
<p><b>
SUMMARY</b><b>:</b><b>
</b></p><p>At 84.51&deg;, we build software products that make customers' lives easier and move the retail industry forward with our bleeding-edge data science. We believe high-performing teams deliver exceptional results time and time again.<br>
<br>
As Senior Agile Delivery associate, you'll be part of a team bringing principles-based thinking to create environments of empowerment and accountability &ndash; where product-led delivery teams are charged with solving problems for customers - not given work to do.
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As scrum master for retail operations &amp; ecomm, you will operate in a time sliced model where you are fully embedded with 1-2 teams and providing targeted consulting &amp; support to the other 3-4 teams. You know what good looks like and how to create flow, helping teams move closer to the problem space and customer. You create strong cross-functional partnerships and co-create standards that give teams the anchor they need in their quest for high performance. You are an executor &ndash; an active team member and a trusted partner who wears a delivery hat. You remove ambiguity and enable the right conversations at the right time.
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You thrive in a workplace of open feedback and trust. Your dream job lets you have fun while learning, improving and taking risks along the way.</p>
<p><b>
RESPONSIBILITIES:</b></p>
<ul>
<li>Create and evolve successful agile team ways of working &ndash; implementing, facilitating, and evolving practices and ownership to create the right flow. Partner to create team standards.</li>
<li>Enable successful sprint / cycle activities - stand-ups, planning, refinement, shaping, demos, releases.</li>
<li>Help bring teams closer to the problem space and enable Product to spend time closer to the customer.</li>
<li>Reduce friction - remove obstacles and impediments and innovate on ways to make value delivery easier.</li>
<li>Act as liaison across teams to successfully align work, dependencies and manage risks including escalation. Remove ambiguity, communicate effectively and create shared understanding across teams.</li>
<li>Provide clear visibility of sprint/cycle/release using electronic and physical information radiators.</li>
<li>Create and maintain metrics for team and stakeholders, using data points and trends to communicate progress, quality, bottlenecks, team health.</li>
<li>Understand team(s) agile maturity and partner cross-functionally to help the team on their journey. Partner to identify coaching opportunities e.g. agile fundamentals, principles, and practices.</li>
<li>Help team(s) identify, prioritize, and execute improvement opportunities.</li>
<li>Promote a fun, learning culture and an environment enabling high performing teams.</li>
</ul>
<p><b>QUALIFICATIONS, SKILLS, AND EXPERIENCE</b><b>:</b></p>
<ul>
<li>4-year degree in related field or equivalent experience</li>
<li>3+ years experience in an agile environment</li>
<li>Product mindset and deep knowledge of agile principles and practices (Scrum, Kanban, DevOps, Scaled Agile)</li>
<li>Certified Scrum Master (CSM or PSM I) (optional)</li>
<li>Software Development, Business Analysis or Project Management experience in an agile environment a plus</li>
<li>Experience in data science, data analytics and insights or adtech a plus</li>
<li>Strong organization, time management and communication skills</li>
<li>High emotional intelligence and ability to build trust and influence others</li></ul></div><p></p>

Senior Agile Delivery (P3176)

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