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Full Time Apple Artificial Intelligence Jobs (NOW HIRING)

Apple Pay Product Manager

Cupertino, CA · On-site

$144K - $263K/yr

Preferred Qualifications Understanding of the transformative impact of artificial intelligence on ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...

New York JobType: full-time AI Delivery Manager NYC, NY - Onsite Only Full-Time (FTE) Position Important Information (Please Read Before Applying) Applicants must be currently residing in NYC, NY ...

... artificial intelligence and machine learning. Our infrastructure and research for data curation form the backbone of Apple Intelligence. It powers the largest Apple foundation models on servers and a ...

New York JobType: full-time AI Delivery Manager NYC, NY - Onsite Only Full-Time (FTE) Position Important Information (Please Read Before Applying) Applicants must be currently residing in NYC, NY ...

Showing results 41-60

Full Time Apple Artificial Intelligence information

What is the difference between Full Time Apple Artificial Intelligence vs Full Time Apple Machine Learning Engineer?

AspectFull Time Apple Artificial IntelligenceFull Time Apple Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience in AI developmentBachelor's or higher in CS, ML, or related fields; strong programming skills in Python, TensorFlow
Work EnvironmentResearch labs, product teams, cross-functional collaborationDevelopment teams, data-driven projects, software engineering focus
Employer & Industry UsageApple's AI initiatives, consumer electronics, software productsApple's ML applications, device optimization, AI-powered features

Full Time Apple Artificial Intelligence roles focus on developing AI algorithms and research, while Full Time Apple Machine Learning Engineers implement and optimize ML models within products. Both roles require strong technical skills and collaboration but differ in their primary focus—research versus application.

What is the easiest full time Apple Artificial Intelligence job to get into?

Entry-level roles in Apple Artificial Intelligence, such as AI research assistant or machine learning technician, typically require a bachelor's degree in computer science, data science, or related fields, along with basic programming skills in Python or Swift. These positions often have less experience requirements compared to senior roles and may serve as a starting point for a career in AI at Apple.
More about Full Time Apple Artificial Intelligence jobs

What are the most commonly searched types of Apple Artificial Intelligence jobs?

The most popular types of Apple Artificial Intelligence jobs are:

What states have the most Full Time Apple Artificial Intelligence jobs?

States with the most job openings for Full Time Apple Artificial Intelligence jobs include:

Infographic showing various Full Time Apple Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Artificial Intelligence & Cloud Engineer

CACI

Norfolk, VA

$98K - $206K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

Job Title: Artificial Intelligence & Cloud Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity: We are seeking an AI and Cloud Engineer to design, build, and scale our next-generation intelligent systems. In this role, you will bridge the gap between advanced artificial intelligence and robust cloud infrastructure. You will be part of a team responsible for architecting complex multi-agent flows, implementing enterprise-grade retrieval systems, and ensuring the secure deployment of AI workloads in cloud in systems that will grow to serve approximately 40,000 users.

The ideal candidate is a self-motivated technical leader who thrives in agile environments and adapts quickly to emerging AI technologies. Responsibilities: Architect and implement scalable multi-agent systems using advanced routing and hierarchical design patterns. Build, optimize, and maintain production-grade Retrieval-Augmented Generation pipelines and semantic search systems.

Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure. Deploy, secure, and monitor AI applications and microservices within cloud environments. Collaborate closely with data scientists, UI/UX designers, and subject matter experts to integrate AI features into user-facing products.

Establish and enforce security best practices for large language model implementations and data privacy. Qualifications Required Experience and Education Bachelor's degree in Computer Science, Software Engineering, or a related technical field. 7+ years of professional software engineering experience, with at least 2 years dedicated to production AI, ML, or NLP development.

Technical Skills Proven experience building multi-agent systems using frameworks like LangGraph, AutoGen, or equivalent tools. Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems. Strong programming proficiency in a programing language similar to Python, and experience building robust RESTful APIs.

Hands-on experience deploying and managing cloud services within AWS or OCI. Proficiency working with Linux operating systems and command-line interfaces. Expertise in text analytics, prompt engineering, data normalization, and cleaning techniques.

Security and Compliance Active Secret Security Clearance. Current CompTIA SEC+ Certificate, or higher. Experience proven knowledge of security best practices for AI systems, including model guardrails and secure data handling.

Professional Attributes Experience working in an Agile development environment across cross-functional teams. Strong problem-solving abilities and a track record of rapidly learning and adopting emerging AI disciplines. Preferred Qualifications Experience with NAVSEA Cyber RMF Processes and System Security Hardening.

Familiarity with secondary languages such as Rust, Go, or JavaScript for system optimization. Relevant industry recognized Cloud certifications, such as AWS Certified Machine Learning - Specialty or OCI AI credentials. Experience with open-source LLM evaluation and observability frameworks.

- What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.

An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.

Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families.

At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $98,500-$206,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.