AI Solutions Engineer Jobs
AI Solutions Engineer jobs are open across enterprise software, financial services, healthcare, and manufacturing, from associate to staff and principal level, with specializations in LLM integration, MLOps, and enterprise AI deployment. 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
AI Solutions Engineer Jobs by Experience Level
Top Cities Hiring AI Solutions Engineers
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Find AI Solutions Engineer JobsAI Solutions Engineer Job Market
Who's Hiring
- Amazon Web Services46
- Amazon14
- JPMorganChase12
- Booz Allen Hamilton12
- NVIDIA10
Top Industries Hiring
- Technology & Software29
- Consulting & Professional Services14
- Banking & Financial Services13
- Education9
- Science & Research6
What Employers Look For
The qualifications that appear most often in AI solutions engineer jobs.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Hands-on experience with large language model APIs such as OpenAI, Anthropic, or Google Gemini
- Proficiency in Python and at least one cloud platform including AWS, Azure, or GCP
- Experience designing and deploying retrieval-augmented generation or agentic AI pipelines
- Familiarity with MLOps tooling for model versioning, monitoring, and continuous evaluation
- Strong written and verbal communication skills for translating technical solutions to business stakeholders
Tips for Your AI Solutions Engineer Job Search
Tailor your resume to the stack
Recruiters screening ai solutions engineer resumes look for specific frameworks like LangChain, Azure OpenAI, or Vertex AI. List the exact model serving and orchestration tools you've used rather than generic AI or ML experience, so your resume clears automated filters.
Build a demo-ready technical portfolio
For ai solutions engineer roles, a working demo of an LLM-powered application or RAG pipeline carries more weight than a list of technologies. Host a short walkthrough on GitHub or a public repository so hiring managers can evaluate your architectural decisions directly.
Target openings by deployment environment
AI solutions engineer postings vary widely between cloud-native roles (AWS, Azure, GCP) and on-premises enterprise deployments. Filtering by the deployment environment that matches your hands-on experience keeps your applications tightly matched to roles you can speak to confidently.
Apply early to roles that fit
Migrate Mate lists ai solutions engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for architecture whiteboard questions
Interviews for ai solutions engineer positions routinely include live design exercises around retrieval-augmented generation, prompt engineering pipelines, or model evaluation workflows. Practice articulating latency tradeoffs, context window constraints, and fallback strategies before you get on the call.
Negotiate scope before you negotiate compensation
In ai solutions engineer offers, the definition of the role, whether you own model selection, integration, or post-deployment monitoring, affects your growth path significantly. Clarify ownership boundaries in the final interview round so you enter salary negotiation with the full picture.
AI Solutions Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai solutions engineers?
The companies hiring the most ai solutions engineers right now include Amazon Web Services, Amazon, and JPMorganChase, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in enterprise software vendors, large financial institutions, and cloud-platform providers building out customer-facing AI products.
How many ai solutions engineer jobs are remote?
About 70% of ai solutions engineer openings are fully remote or hybrid as of November 2026, making it one of the more remote-accessible roles in applied AI. Sub-areas most commonly listed as fully remote include LLM integration, prompt engineering, and cloud-based AI consulting work, while on-premises enterprise deployment roles tend to require more in-person presence.
How do you become an ai solutions engineer?
Start by building a foundation in software engineering and cloud infrastructure, then move into applied machine learning or NLP work. Gain hands-on experience with at least one major LLM API, build end-to-end projects that connect a model to a real business workflow, and document those projects publicly. Roles labeled solutions engineer, AI engineer, or ML engineer in enterprise settings are common entry points for people transitioning from software or data engineering.
Can you get hired as an ai solutions engineer without direct AI experience?
Yes, particularly if you have a strong software engineering or cloud architecture background and can demonstrate AI-adjacent project work. Employers hiring at the associate or mid-level often prioritize system design skills and the ability to integrate APIs over deep model training experience. Building a public project using an LLM API and presenting it clearly in interviews compensates meaningfully for a shorter AI-specific work history.
What does the ai solutions engineer interview process look like?
Most processes run three to five rounds and typically begin with a recruiter screen focused on your deployment background and tool familiarity. A technical phone screen or take-home follows, often involving an API integration task or architecture design scenario. Final rounds usually include a live whiteboard or system design session and a cross-functional presentation to non-engineering stakeholders, testing your ability to translate AI concepts into business outcomes.
Where can I find and apply to ai solutions engineer jobs?
You can find and apply to ai solutions engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing to get your application in front of the hiring team.
See All 813+ AI Solutions Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Solutions Engineer Jobs