CrawlJobs Logo

AI Solutions Engineer Intern

United States, San Diego 23.25 - 42.75 USD / Hour · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations. The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency. As an intern at ResMed, you’ll gain hands-on experience, learn from experts, and collaborate with teams that do truly amazing things.

Job Responsibility

  • Work directly with a mentor in your field of study while finding solutions to real world problems
  • Experience our products up close by working with one of our GTS – Business Systems applications teams
  • Interact directly with our company leaders
  • Build a lasting professional network through social events and engaging activities
  • Gain the skills and knowledge to become a future leader in the medical technology industry
  • Work directly with talented individuals of all levels
  • With guidance from a departmental leader, you will work on Oracle EPM projects, enhancements and support items

Requirements

  • Ability to work full-time for 12 weeks during Summer 2024
  • program dates are May 18, 2026 – August 7, 2026 OR June 15, 2026 – September 4, 2026
  • Computer Science, Information Systems, Data Analytics, Finance, Accounting, or related field academic studies that will lead to a Bachelor's or Master's Degree
  • Experience with SQL, Microsoft products, Understanding of Planning, Financial Consolidation & Close Finance terminologies, and basic scripting (API’s, MAXL/Groovy)

Nice to have

  • Desirably Integration of Co-pilot with 3rd party applications, AI, ML
  • Excellent critical thinking and problem-solving skills
  • Strong experiences as demonstrated through projects, research or Financial Systems or Data Analytics internships
  • Great interpersonal relations, team cooperation and communication skills
  • Exceptional organizational and collaboration skills as demonstrated through leadership positions on teams and/or in student or civic organizations
  • Exceptional communication skills and interest and enthusiasm related to financial technology and enterprise systems, medical technology industry and a career with ResMed

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

AI Solutions Engineer Intern

8 matching positions

AI Solutions Engineer

The AI Solutions Engineer to support the design, development, and deployment of ...
Location
Location
Malaysia , Petaling Jaya
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Practical experience with: Python development (essential)
  • AI/ML frameworks or LLM integrations
  • APIs, backend development, or automation scripting
  • Familiarity with: Vector databases or semantic search concepts
  • Data processing and document parsing workflows
  • Containerization (Docker) or deployment environments
  • Understanding of Generative AI concepts (LLMs, embeddings, RAG basics)
  • Basic database knowledge (SQL/NoSQL)
  • Familiarity with Git-based development workflows
Job Responsibility
Job Responsibility
  • Build and maintain AI applications including: RAG pipelines and knowledge assistants
  • LLM integrations and prompt workflows
  • Agentic AI bots
  • Develop APIs, backend services, and integrations supporting AI solutions
  • Assist in optimizing model performance, inference latency, and system reliability
  • Work closely with solution architects and senior engineers
  • Support POC development, demos, and technical validation activities
  • Contribute to internal documentation and knowledge sharing
  • Assist with deploying AI solutions across development, staging, and production environments
  • Monitor performance, troubleshoot issues, and optimize resource utilization
  • Fulltime
Read More
Arrow Right

Ai Solutions Engineer

Improve the end-to-end developer experience of AI development tools. Identify fr...
Location
Location
United States , New York
Salary
Salary:
104904.00 - 218550.00 USD / Year
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years experience, including recent hands-on use of AI-assisted development tools
  • 4+ years experience shipping developer-facing improvements (internal tools, SDKs, CLIs, IDE extensions, or platform workflows)
  • 4 Years of coding in Python and/or TypeScript
  • comfortable touching shared code and context repositories
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience)
Job Responsibility
Job Responsibility
  • Partner with developers across teams to identify friction points with current AI tools and workflows
  • Design and implement UX and workflow improvements (commands, shortcuts, templates, defaults, onboarding flows)
  • Enable and improve context engineering practices for existing AI-assisted development tools in collaboration with the Context Engineering Specialist
  • Instrument usage and feedback to quantify impact of improvements
  • Produce guidance, examples, and enablement content to help teams adopt improved patterns
  • Contribute to knowledge transfer and handover to steady-state teams
  • Fulltime
Read More
Arrow Right

Intern Ai Solutions Engineering

Our AI Solution Team at the BMW Group brings the latest Data Science and Generat...
Location
Location
Germany , Munich
Salary
Salary:
Not provided
bmw.de Logo
BMW
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Studies in computer science, electrical engineering or a related technical field
  • Solid coding skills in Python
  • TypeScript and Node.js experience is strongly preferred
  • Experience in building applications powered by Large Language Models such as RAG, prompting, and evaluation
  • Fundamental understanding of generative AI and agentic workflows including models, tokenization, and context windows highly desired
  • Experience with frontend development, Figma and user experience is a plus
  • Experience with Amazon Web Services is a plus
  • Fluent English skills
Job Responsibility
Job Responsibility
  • You will support the exploration and development of AI use cases for our business
  • You help to explore and implement the latest agentic and generative AI algorithms, protocols, and techniques
  • Depending on your skills and interest, you will contribute to AI Agents, Vector Stores, RAG and Data Pipelines, Backend Development, Frontend Development or User Experience
  • You assist in the modernization and agentification of digital processes at BMW Group
  • You help to research and keep up to date with developments in the Generative AI and Machine Learning space
  • You will support implementing relevant techniques and protocols in the context of your applications
What we offer
What we offer
  • Comprehensive mentoring & onboarding
  • Personal & professional development
  • Flexible working hours
  • Mobile work
  • Attractive & fair compensation
  • Apartments for students (subject to availability & only at the Munich location)
  • Fulltime
Read More
Arrow Right

Ai Engineer Intern

We have an exciting opportunity for an AI Engineer Intern to join our team on an...
Location
Location
Spain , Barcelona
Salary
Salary:
Not provided
fsp.co Logo
FSP
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong maths and analytical skills
  • Passionate about technology
  • Able to manipulate large datasets
  • Able to communicate technical concepts to non-technical people
  • Good level of competency in C# or Python
  • An understanding of how different types of databases work
  • Fluent in English
  • Starting or within the final year of university (degree to be completed 2027)
Job Responsibility
Job Responsibility
  • Work as part of the wider FSP project team to deliver AI solutions to clients
  • Assist in defining business requirements for AI solutions
  • Develop high quality AI products utilising (primarily) cloud native patterns
  • Work together with our Data Platforms and Solutions and AI Advisory teams to provide full Data & AI products
  • Support AI solutions through UAT to Production
  • Learn the latest technology developments and promote these within your projects
  • Share knowledge as part of the FSP technical community
What we offer
What we offer
  • A collaborative environment where you can learn and grow
  • Meaningful work supported by experienced mentors
  • Exposure to modern technologies and real-world projects
  • Hybrid working to support flexibility and wellbeing
  • Industry-leading coaching, mentoring, and benefits
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

A pioneering role in one of the most rapidly evolving disciplines in applied AI,...
Location
Location
Portugal , Porto
Salary
Salary:
Not provided
metyis.com Logo
Metyis
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 1-4 years of professional experience as a software engineer, data scientist, data engineer, or AI engineer
  • Strong programming skills in at least one modern language (Python is a plus, but not required), proficiency with Git, and solid software engineering practices
  • Hands-on experience building LLM-based systems, including prompt engineering and at least one orchestration framework (e.g., LangChain, LlamaIndex, LangGraph)
  • Solid understanding of Retrieval-Augmented Generation (RAG) pipelines and their design considerations
  • Deep understanding of general data science principles, including data quality, lineage, semantics, and governance
  • Strong awareness of the current AI landscape, including leading LLMs, multimodal models, agentic frameworks, and orchestration tools
  • Practical experience with knowledge graphs, ontologies, or semantic data models is a plus
  • Ability to combine technical rigor with practical business sense, turning real-world challenges into well-designed AI workflows
  • Strong communication skills, with the ability to explain complex AI concepts to non-specialist audiences
  • Fluency in English
Job Responsibility
Job Responsibility
  • Design, implement, and continuously refine AI solutions and products, working across the full lifecycle from prototyping to production deployment
  • Work closely with central and local data teams to define, create, and maintain the organization’s context layer, optimized for AI use
  • Apply advanced prompt engineering, context engineering, memory engineering, and harness engineering techniques to maximize the performance and reliability of AI models in production
  • Translate business requirements and operational challenges into AI-transformed use cases and workflows, identifying where intelligent automation or augmentation can deliver the most value
  • Stay at the forefront of developments in the AI space, including the latest models, tools, and frameworks, and bring relevant innovations back into the team's practice
  • Contribute to the design of agentic AI systems and AI orchestration architectures, ensuring they are robust, scalable, and aligned with enterprise governance requirements
  • Document methodologies, prompt libraries, and context engineering standards to build reusable institutional knowledge
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

The AI Solutions Engineer at NTT DATA will be responsible for developing and dep...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • Demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
  • Hands-on expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
  • Demonstrated experience implementing prompt engineering methodologies and optimizing model performance
  • Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
  • Experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
  • Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
  • Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
  • Proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
  • Experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions
Job Responsibility
Job Responsibility
  • Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
  • Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
  • Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
  • Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
  • Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
  • Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
  • Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
  • Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
  • Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
  • Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices
  • Fulltime
Read More
Arrow Right

AI Solutions Engineer

The AI Solutions Engineer at NTT DATA is responsible for developing and deployin...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • Demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
  • Hands-on expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
  • Demonstrated experience implementing prompt engineering methodologies and optimizing model performance
  • Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
  • Experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
  • Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
  • Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
  • Proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
  • Experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions
Job Responsibility
Job Responsibility
  • Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
  • Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
  • Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
  • Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
  • Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
  • Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
  • Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
  • Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
  • Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
  • Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices
What we offer
What we offer
  • Workplace embraces diversity and inclusion
  • A place where you can grow, belong and thrive
  • Fulltime
Read More
Arrow Right

Senior AI Solutions Engineer

The Senior AI Solutions Engineer at NTT DATA is responsible for developing and d...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • Advanced demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
  • Advanced expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
  • Advanced demonstrated experience implementing prompt engineering methodologies and optimizing model performance
  • Advanced demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
  • Advanced experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
  • Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
  • Advanced demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
  • Advanced proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
  • Advanced experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions
Job Responsibility
Job Responsibility
  • Actively participating in identifying high-value use cases, assessing solution feasibility, prototyping innovative ideas, and delivering successful pilot projects
  • Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
  • Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
  • Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
  • Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
  • Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
  • Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
  • Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
  • Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
  • Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
What we offer
What we offer
  • Workplace embraces diversity and inclusion
  • A place where you can grow, belong and thrive
  • Part of a Global Top Employer with experts in more than 50 countries
  • Fulltime
Read More
Arrow Right