Senior AI Software Engineer Jobs
Senior AI Software Engineer jobs are open across technology, finance, healthcare, and defense, from mid-level to staff and principal, with specializations in large language models, computer vision, and MLOps. Find a role that fits from the openings below and apply directly.
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Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Framework Software Engineer, you will be responsible for building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will either work on building custom solutions ground up or take open source products and customize them for Apple’s needs. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.
Preferred Qualifications
Strong problem-solving skills and Excellent communication skills
Experience in building and deploying cloud-native applications/products
Working experience with Big data technologies and data platforms
Prior experience in the areas of AI/ML/Data Sciences will be a strong plus
Familiarity in working with frontend frameworks
Hands-on experience with distributed computing technologies
Experience with SQL and NoSQL data stores
Minimum Qualifications
2+ years or more of hands-on experience with Java and/or Python
Deep understanding of data structures and algorithms.
Experience designing and developing scalable & performant micro-services and Rest APIs
Knowledge of cloud computing platforms such as AWS, Google Cloud or Azure
Bachelors degree or equivalent experience
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Framework Software Engineer, you will be responsible for building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will either work on building custom solutions ground up or take open source products and customize them for Apple’s needs. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.
Preferred Qualifications
Strong problem-solving skills and Excellent communication skills
Experience in building and deploying cloud-native applications/products
Working experience with Big data technologies and data platforms
Prior experience in the areas of AI/ML/Data Sciences will be a strong plus
Familiarity in working with frontend frameworks
Hands-on experience with distributed computing technologies
Experience with SQL and NoSQL data stores
Minimum Qualifications
2+ years or more of hands-on experience with Java and/or Python
Deep understanding of data structures and algorithms.
Experience designing and developing scalable & performant micro-services and Rest APIs
Knowledge of cloud computing platforms such as AWS, Google Cloud or Azure
Bachelors degree or equivalent experience
Senior AI Software Engineer Jobs by Experience Level
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Who's Hiring
- JPMorganChase83
- Google64
- Amazon38
- TikTok22
- Amazon Web Services20
Top Industries Hiring
- Technology & Software23
- Banking & Financial Services8
- Education3
- Energy1
- Insurance1
What Employers Look For
The qualifications that appear most often in senior AI software engineer jobs.
- Advanced degree or equivalent experience in computer science, machine learning, or a related field
- Production experience designing, training, and deploying large-scale machine learning models
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Hands-on experience with cloud ML platforms including AWS SageMaker, Google Vertex AI, or Azure ML
- Demonstrated ability to lead technical projects and mentor junior engineers across the AI stack
- Familiarity with MLOps tooling, model monitoring, and CI/CD pipelines for ML systems
Tips for Your Senior AI Software Engineer Job Search
Quantify model performance on your resume
Hiring managers for senior AI roles scan for concrete outcomes, not just tools. Replace vague claims with metrics like latency improvements, accuracy gains, or cost reductions your models delivered in production. Generic AI buzzwords without numbers get filtered out fast.
Match your stack to the job description
Senior AI roles split sharply between PyTorch and TensorFlow shops, between cloud-native MLOps and on-prem deployments. Read each posting carefully and mirror its exact tooling language in your resume so automated screening systems surface your application correctly.
Apply early to roles that fit
Migrate Mate lists senior ai software engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by model deployment environment
Filter openings by whether they describe edge deployment, cloud inference, or real-time serving pipelines. Your experience transfers differently across these environments, and applying to roles that match your actual deployment background lifts your interview conversion rate significantly.
Prepare a system design answer for AI infrastructure
Most senior AI interviews include a design round covering data pipelines, feature stores, or model serving at scale. Practice walking through trade-offs between batch and online inference, retraining cadence, and monitoring drift so you can answer confidently without over-rehearsing a script.
Negotiate scope before you negotiate compensation
Before discussing pay, confirm whether the role owns model research, deployment, or both, and who controls compute budgets. Scope mismatches at the senior level are a leading reason engineers leave within a year, so clarifying ownership early protects you from a poor fit.
Senior AI Software Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior ai software engineers?
The companies hiring the most senior ai software engineers right now include JPMorganChase, Google, and Amazon, with the largest share of openings in California, Texas, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in technology, financial services, and defense sectors, though healthcare and retail are adding senior AI roles steadily.
How many senior ai software engineer jobs are remote?
About 80% of senior ai software engineer openings are fully remote or hybrid as of November 2026, though the share varies by specialization. Roles focused on NLP, LLM fine-tuning, and recommendation systems tend to offer the most location flexibility, while positions involving proprietary hardware, on-prem infrastructure, or defense clearances are more likely to require on-site presence.
How do you become a senior ai software engineer?
You become a senior ai software engineer by building a foundation in machine learning fundamentals and software engineering, then deepening expertise in a specific domain such as NLP, computer vision, or reinforcement learning. Getting models into production is the key differentiator at the senior level, so focus on shipping end-to-end systems, owning post-deployment monitoring, and progressively taking on technical leadership within a team.
Can you get hired as a senior ai software engineer without prior senior-level experience?
You can move into a senior ai software engineer role without holding a previous senior title if you have demonstrable impact at scale. Employers look for engineers who have owned a model from research through production, led cross-functional delivery, or published work that shows independent technical judgment. A strong portfolio of shipped AI systems often carries more weight than a senior job title from a previous employer.
What does the senior ai software engineer interview process look like?
The senior ai software engineer interview process typically includes a recruiter screen, a technical phone interview covering ML fundamentals and coding, a machine learning system design round, and a full virtual or on-site loop. The loop usually combines coding exercises, a research or paper discussion, a system design session focused on AI infrastructure, and behavioral interviews assessing technical leadership and cross-team collaboration. Final rounds often include a presentation of past work.
Where can I find and apply to senior ai software engineer jobs?
You can find and apply to senior ai software engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the available roles, find the ones that match your background and target specialization, and apply directly to each listing that fits.
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