659 jobs for "AI Application Engineer"

AI Application Engineer

At Apple

Posted on Oct 16

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Enterprise Application Engineer (Enterprise Security - Security AI)

At Salesforce - San Francisco · New York

Posted on Nov 5

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AI Application Engineer

At Vanguard - Hyderabad

Posted on Nov 4

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Cybersecurity Engineer, Mobile & AI Application

At Visa - Austin

Posted on Oct 28

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Application Security Engineer, Generative AI

At Liftoff - Remote / Flexible

Posted on Oct 29

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Software and Data Engineer - Software Engineer III- Agentic Pricing

At JPMorgan Chase - Jersey City

Posted on Oct 14

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Intern - Year Round (AI Engineering)

At Navy Federal Credit Union - Vienna

Posted on Oct 20

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SEM M&E

At Infosys - Los Angeles

Posted on Nov 6

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HPC AI Solution Architect (S2S)

At Deloitte - Atlanta · Charlotte

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Lead AI Engineer - Generative AI & Data Platforms

At Vanguard - Hyderabad

Posted on Oct 24

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Sr/Staff AI Engineer

At Palo Alto Networks - Santa Clara

Posted on Nov 7

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Principal Machine Learning Engineer

At Palo Alto Networks - Bengaluru

Posted on Oct 27

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Epic Application Analyst - Interconnect-Senior Consultant

At Deloitte - Atlanta · Austin

Posted on Oct 20

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ML Engineer

At Aristocrat

Posted on Nov 3

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Cloud Engineering Intern

At Aptiv - Ottawa

Posted on Oct 13

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Middle AI Agent & Developer Experience Engineer

At Exadel - São Paulo or Rio de Janeiro

Posted on Oct 19

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Application Development Engineer

At Atlassian - Remote / Flexible

Posted on Oct 10

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Software Engineer - Golang, System Design, Kubernetes Platform Development & AI Automation

At Merrill - Chandler · Jersey City

Posted on Nov 4

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Associate, Application Deployment Engineer

At BlackRock - Atlanta

Posted on Nov 1

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Senior Engineer - AI Monitoring & Control Capabilities

At Bank of America - Charlotte · Pennington

Posted on Oct 19

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Apple

AI Application Engineer

Posted 22 days ago

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Apple is where individual imaginations gather together, committing to the values that lead to great work! Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

Description
APO BPR team is seeking a dedicated individual who is passionate about designing, implementing, and optimizing analytical solutions that deliver tangible, measurable impact within APO.

As an AI application Engineer, you will collaborate closely with data scientists, business analysts, and the development team to translate cutting-edge AI technologies into real-world applications. From understanding business requirements to deploying scalable and reliable AI solutions, you will play a key role in integrating AI into practical use cases.","responsibilities":"In this role, you will

AI Solution Development: Design, develop, and deploy AI-driven applications, across domains, such as machine learning, NLP, and computer vision, addressing both business requirements and end-user needs.

End to End Supply Chain Connectivity: Partner with supply chain experts to understand business goals and translate into clear technical specifications and solutions recommendation.

Agent Design and Development: Design and implement intelligent agents within multi-agent systems, enabling real-time collaboration based on pre-defined goals, strategies, and data exchanges. Develop agent-based models to optimize decision-making and interactions.

MCP Integration: Extend and integrate Multi-Agent Coordination Platforms(MCP) to optimize resource allocation, communication, and decision-making across multiple agents in shared environments.

Data Management: Architect, design, build, and maintain data pipelines that connects across internal and external supply chain systems. Enforcing data governance and control is implemented at key matrix levels.

Collaboration with Data Science Teams: Collaborate with data scientists to refine algorithms, optimize models, and enhance AI performance, focusing on model tuning, feature selection, and performance benchmarking.

Testing and Validation: Conduct rigorous testing and validation of AI models, including unit testing, integration testing, and A/B testing, to ensure accuracy, reliability, and scalability before deployment.

Monitoring and Maintenance: Monitor deployed AI models, track performance metrics, and implement continuous improvement strategies, including model re-training and updates based on real-world data and evolving business needs.

Preferred Qualifications
3+ years of hands-on experience developing multi-agent systems or agent-based modeling, with experience in frameworks like MAS platforms, NetLogo, or AnyLogic.
Proven experience in multi-agent coordination platforms (MCP) or related frameworks.
Hands-on experience with cloud platforms, such as AWS, Azure, GCP, with expertise in deploying and managing scalable AI Platform.
Extensive knowledge and hands-on experience with popular LLMs, such as Gemini, Claude, and GPT, including the ability to fine-tune and optimize these models for specific use cases.
Solid understanding of popular AI/ML frameworks(e.g. TensorFlow, PyTorch, scikit-learn) and experience with MCP tools for multi-agent coordination and AI system integration.
Curious, self-motivated, and able to drive improvements to model evaluation pipelines and annotation programs.
Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
Outstanding communication skills - both written and verbal - with experience presenting to leadership.
Comfort with ambiguity, with the ability to structure complex analysis and drive insights through data exploration and strategy research.

Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or related field with a minimum of 5+ years of relevant industry experience in AI application development, machine learning, or software engineering.

Strong understanding of generative AI models(e.g. LLMs such as GPT, BERT) and their application in real-world solutions, such as chatbots, NLP applications, and content generation.

Excellent software engineering skills, with expertise in modular, object-oriented design, and familiarity with industry-standard development processes. Proficiency in Python, PHP, Java, Git preferred.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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