genai engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>3 years of experience testing, maintaining, or launching software products.</li>
<li>1 year of experience with software design and architecture.</li>
<li>1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role.<br>
</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AI/ML GenAI, Google Cloud

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>3 years of experience testing, maintaining, or launching software products.</li>
<li>1 year of experience with software design and architecture.</li>
<li>1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>1 year of experience in a technical leadership role.<br>
</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AI/ML GenAI, Google Cloud Networking

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience with software development in one or more programming languages.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization , data processing, debugging).</li>
<li>Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
<li>Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior AI Software Engineer, Gemini Enterprise, Agent Designer

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>San Francisco CA</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><p>The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation.</p><br>
<p><br>
<b>Key Responsibilities</b><br>
</p><p><br>
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
<br>
Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
<br>
Build and support AI agents, autonomous systems, and agentic workflows.
<br>
Deploy, monitor, and optimize AI models in production using MLOps practices.
<br>
Design and maintain data pipelines, data lakes, and data warehouses.
<br>
Monitor model performance, troubleshoot issues, and manage data/model drift.
<br>
Collaborate with business and technical teams to align AI solutions with organizational objectives.
<br>
Create reusable assets, demos, and proof-of-concepts to support innovation and business development.<br>
<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills and Experience
</b></h2></div><div><p>A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
<br>
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
<br>
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
<br>
Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.</p>
<p>GPT, Claude LLM, Stable Diffusion
<br>
LangChain
<br>
TensorFlow
<br>
PyTorch
<br>
Scikit-learn
<br>
RAG (Retrieval-Augmented Generation)
<br>
AI Agents &amp; Agentic Workflows
<br>
API Development
<br>
REST APIs
<br>
JSON
<br>
HTTP Requests
<br>
Authentication &amp; Tokens
<br>
Error Handling &amp; Debugging<br>
<br>
<br>
<br>
<br>
</p></div></div></div><p>The base compensation range for this role in the posted location is $90,000- $160,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist/ AI Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Client is building its enterprise GenAI capability across two closely partnered organizations: the GenAI Platform &amp; Enablement organization (governed AI gateway on Azure API Management, model access via Azure AI Foundry today with a deliberately venue-agnostic design, model integrations, retrieval services, environments, observability) and the Developer Experience organization (SDLC automation and tooling, quality engineering and test data management, site reliability engineering). Because the engineering foundations overlap heavily, all Software Engineer III openings across both organizations are filled through this single posting: candidates are evaluated once against a common engineering bar, then routed to the track and team where their depth fits best.
<br>
<br>
Every seat is hands-on. Engineers design, build, test, document, and operate; FTE seats additionally carry track ownership, contractor review, and production deployment under the bank&rsquo;s controlled-change model, while contractor seats (18 months, extension possible, contract-to-hire in intent) carry the front-loaded build with capability transfer written in.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.
</p></div><div><p>Leverage GenAI capabilities in your own engineering workflow &mdash; coding assistants, agent-based automation, AI-assisted testing and debugging &mdash; to accelerate delivery, including SDLC automation opportunities.
</p></div><div><p>Work within the bank&rsquo;s SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.
</p></div><div><p>Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences.
</p></div><div><p>Pair for capability transfer &mdash; FTEs with contractor counterparts, contractors with FTE track owners &mdash; so knowledge stays when engagements end.
</p></div><div><p>Participate in support rotations for live workloads with incident triage and root-cause discipline.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>SE III (61 IC): Associate&rsquo;s + 7 years or Bachelor&rsquo;s + 5 years systems analysis/application development experience (or combined 9 years). SE II (60 IC): Associate&rsquo;s + 5 years or Bachelor&rsquo;s + 3 years equivalent experience (or combined 7 years).
</p></div><div><p>Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.
</p></div><div><p>Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation).
</p></div><div><p>Hands-on Azure experience relevant to the target track (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) &mdash; current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework.
</p></div><div><p>Experience delivering and operating production systems in a controlled-change environment.
</p></div><div><p>Strong communication, collaboration, documentation, and stakeholder engagement skills.
</p></div></div><p>Nice to have
</p><div><div><p>Demonstrated depth in one or more tracks above &mdash; candidates are routed by strongest track fit across both organizations.
</p></div><div><p>Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations.
</p></div><div><p>Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling.
</p></div><div><p>Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote United States, United States of America
</p></div><p>Req. VR-124264
</p></div><div></div><div><div><p>Information Governance (Platform)
</p></div><div><p>BCM Industry</p>
</div><div><p>30/07/2026
</p></div><div><p>Req. VR-124264</p></div></div></div><p></p>

AI & Platform Software Engineer

MGM Resorts International

<div><p>Las Vegas, Nevada</p><p><b>
The SHOW comes alive at MGM Resorts International</b></p><p>
Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.</p><p><b>
THE JOB:</b></p><p>
The Art Director, Creative Technology (GenAI) is a hybrid individual contributor role responsible for creating generative AI-based content across the wide spectrum of MGM resort and product offerings, including imagery for lifestyle, architecture, F&amp;B, entertainment, retail, and more, as well as audio and innovation-leaning formats. This work will feature all marketing applications, including original campaigns and full-funnel advertising across print, digital, and social. The role combines traditional Art Director craft on photo and video shoots (styling, set design, wardrobe styling, casting, and photo/video fundamentals) with deep AI and GenAI content engineering capability to produce premium, on-brand content.</p><p><b>
THE DAY-TO-DAY:</b></p><ul><li>
GenAI Content Creation Across MGM Offerings: Create generative AI-based content across the wide spectrum of MGM resort and product offerings&mdash;including imagery for lifestyle, architecture, food and beverage, entertainment, retail, and gaming&mdash;for use in original campaigns and full-funnel advertising across print, digital, social, and audio channel</li><li>
Photo &amp; Video Shoot Art Direction: Provide hands-on art direction across photo and video shoots, including pre-production planning, on-set art direction, set design, wardrobe styling, prop and dressing decisions, casting and talent direction, and the photographic and cinematic fundamentals (lighting, composition, lens, color, motion) required to capture premium consumer content</li><li>
Advanced Technical Execution &amp; Content Engineering: Apply deep understanding of AI and GenAI fundamentals to bring output to production quality, managing model selection, prompt engineering, and control techniques such as image/video conditioning, references, masks, LoRAs, fine-tunes, and iterative post-processing</li><li>
Brand Strategy Translation to AI Content: Translate brand strategy and creative briefs into AI-generated content concepts that perform across audience segments, marketing funnels, and channels, balancing the speed and scale advantages of GenAI with the craft fundamentals that distinguish premium consumer brand work</li><li>
Prompt Library &amp; Asset Template Management: Build and maintain prompt libraries, asset templates, model references, and reusable content components that improve consistency, efficiency, and quality of GenAI content production across MGM</li><li>
Format-Agnostic Campaign Concepting Support: Assist with custom concepting work relating to format-agnostic campaigns and new content platforms, supporting the broader Creative Strategy team's exploration of creative ideas that span design, content, experiential, and integrated channels</li><li>
Emerging GenAI Tool Evaluation: Maintain ongoing awareness of emerging GenAI tools, models, formats, and best practices, evaluating new platforms and integrating capabilities into MGM's content workflow with appropriate brand, quality, and rights controls</li></ul><p><b>
THE IDEAL CANDIDATE:</b></p><ul><li><p>
Has a bachelor&rsquo;s degree in graphic design, Photography, Film, Fine Arts, Visual Communications, or a related field, or equivalent experience.</p></li><li>
Has 5+ years of art direction experience in photo and video production for consumer brands.</li></ul><p><b>
THE PERKS &amp; BENEFITS:</b></p><ul><li>
Comprehensive wellness programs designed to support employees&rsquo; physical, mental, and emotional well-being.</li><li>
Exclusive access to company-sponsored discounts across hospitality, dining, retail, entertainment, travel, technology, and a wide range of partner offerings.</li><li>
Complimentary parking both during and outside of scheduled work hours.</li><li>
Competitive health, wellness, and income protection benefits for eligible employees.</li><li>
Ongoing professional growth and career development through leadership programs, learning opportunities, strategic networking, and community engagement initiatives.</li></ul><p><b>
VIEW JOB DESCRIPTION:</b></p><p>
https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&amp;jobcode=12954</p><p>
Are you ready to <b>JOIN THE SHOW</b>? Apply today!</p></div>

Art Director - GenAI Content

Apple

<p>At Apple, the content that reaches hundreds of millions of people: music, films, books, podcasts, and apps, is underpinned by sophisticated data systems that run quietly and reliably at scale. The ASE Content Data Engineering team builds and maintains the reporting infrastructure, data pipelines, and data models that keep Apple's online media platform informed, compliant, and moving forward.<br>
<br>
We are looking for a Software Development Engineer - Data to join our Reporting &amp; Data Models team. In this role, you will modernize and automate legacy data pipelines, build new reporting solutions, maintain a large and complex reporting estate across Oracle and cloud-native platforms, and help deliver compliance extracts that meet real-world legal deadlines across multiple jurisdictions. If you enjoy working on systems that matter, where your engineering choices directly impact operational accuracy, regulatory compliance, and business intelligence for one of the world's largest media platforms, we would love to hear from you.<br>
<br>
<b>Description</b><br>
<br>
The ASE Content Data Engineering team is responsible for the internal business intelligence infrastructure that powers Apple's online media store. The data models and reports developed by this team supply information to engineering, business operations, and external content providers regarding the status of online media, including workflow status, availability, and incoming and outgoing volume.<br>
<br>
This engineer will own and evolve a large portfolio of data pipelines and reporting systems, driving the ongoing migration from legacy infrastructure to modern pipeline orchestration and cloud-based storage, while also delivering net-new reports and data models in response to business, engineering, and regulatory needs. The role demands a blend of engineering rigor, data fluency, and a strong reliability mindset: the team's reports directly support legal and compliance obligations with hard, externally-imposed deadlines.<br>
<br>
The ideal candidate brings a bias toward automation and self-healing pipelines over manual intervention, and is comfortable managing a broad portfolio of concurrent work, balancing urgent pipeline fixes against longer-horizon migration and enhancement projects. They can independently troubleshoot and resolve ambiguous, production-impacting issues under time pressure, and communicate technical findings clearly to non-engineering stakeholders across legal, business operations, and content provider teams. Knowledge of or genuine curiosity about online media is a plus.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain automated data pipelines and reporting systems across a hybrid stack spanning Oracle, Spark, Hadoop, and cloud object storage<br>
<br>
Drive the migration of legacy report jobs to modern pipeline orchestration and cloud infrastructure, ensuring reliability, observability, and maintainability<br>
<br>
Investigate and resolve pipeline failures, performance bottlenecks, and data quality issues across a large, interdependent reporting estate covering all content domains<br>
<br>
Develop and maintain legal and regulatory-compliance reports where accuracy, auditability, and on-time delivery are non-negotiable<br>
<br>
Onboard and publish curated datasets from operational data stores to the Apple Data Lakehouse, ensuring proper data governance, lineage documentation, and PII tagging<br>
<br>
Extend and enhance internal content data platform models across all content domains: propagating schema changes, adding new columns and descriptors, and maintaining the accuracy of the platform's content-intelligence surface<br>
<br>
Execute controlled, legally-gated production data modifications and archival/deletion programs under change control and with required legal approval<br>
<br>
Contribute to the evolution of AI-assisted data tooling (e.g., Text-to-SQL), automating and accelerating how stakeholders access and query content data<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Familiarity with Iceberg / Parquet-based table formats<br>
<br>
Proficiency in macOS and Linux server environments<br>
<br>
Experience using GenAI tools (e.g., Claude, OpenAI tools) to accelerate engineering tasks<br>
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Familiarity with cloud object storage migration patterns (HDFS to S3)<br>
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Experience with EKS or other cloud-based compute platforms<br>
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Familiarity with Trino or other distributed SQL query engines<br>
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Experience with Flink or Flink SQL for stream-based data processing<br>
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Familiarity with GenAI-assisted data access patterns (e.g., MCP servers, Text-to-SQL, LLM-assisted data documentation)<br>
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Familiarity with Tableau or similar data visualization and dashboarding tools<br>
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Experience with shell scripting for automation and pipeline support<br>
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Experience with Java development<br>
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<b>Minimum Qualifications</b><br>
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Minimum 1 year of experience as a Software Engineer, Data Engineer, or equivalent role<br>
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Strong experience with Spark and Spark SQL, including performance tuning and resource optimization<br>
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Strong experience with Hadoop, HDFS, and/or S3-compatible object storage<br>
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Hands-on experience with Python scripting for data processing and automation<br>
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Experience writing SQL and PL/SQL on Oracle, including query optimization<br>
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Experience building and maintaining automated data pipelines and job scheduling systems (e.g. Airflow)<br>
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Experience with CI/CD workflows and version-controlled deployment of data pipeline code<br>
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Hands-on experience with Kubernetes for container-based workload execution<br>
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Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field OR Hands-on engineering experience and a demonstrable track record of building and maintaining production data systems are weighted equally alongside formal academic credentials.<br>
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<b>Pay &amp; Benefits</b><br>
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At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Development Engineer - Data

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