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Forward Deployed Engineer, Intern
Domino Data Lab. Spend 10 weeks working directly with customers and teams to help them realize value from the Domino platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in Python and familiarity with AI/data engineering concepts, including applied AI systems and container technologies. Strong communication and problem-solving skills are essential for customer-facing roles in diverse industries such as healthcare and finance.
Highest-signal resume keywords
Proficiency In PythonExperience With R, Java, Or C/C++Building Applied AI SystemsFamiliarity With Docker And KubernetesBasic Knowledge Of Cloud Providers
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonRJavaC/C++AI/Data EngineeringApplied AI SystemsRAG PipelinesAgentic WorkflowsModel Evaluation
Soft Skills
Strong Communication SkillsProblem Solving SkillsCustomer Empathy
Tools & Technologies
DockerKubernetesAWSAzureGCP
Industry Keywords
HealthcareLife SciencesFinanceGovernment
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonSpringC++
About the role
Key responsibilities & impact- Spend 10 weeks working directly with customers and teams to help them realize value from the Domino platform
- Write code and design solutions
- Support real-world, high-stakes environments spanning healthcare, life sciences, finance, government, and beyond
- Contribute to impactful and visible projects from the start
- Work with software engineering, customer empathy, and domain awareness in a forward deployed engineering role
Requirements
What you’ll need- Passion for AI/data engineering, software engineering, large language models, and real world applications
- Proficiency in Python is required
- Additional experience with R, Java, or C/C++ is a plus
- Exposure to building applied AI systems such as RAG pipelines, agentic workflows, or model evaluation through coursework, internships, or personal projects
- Comfort picking up container concepts such as Docker and Kubernetes
- Basic familiarity with a cloud provider such as AWS, Azure, or GCP
- Strong communication and problem solving skills
- Interest in customer-facing work
- Graduating in Spring 2028
- Pursuing a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
Benefits
Comp & perks- Monthly housing stipend may be provided for the duration of the internship
- Mentorship
- Practical experience
- Teaching and learning environment
- Visa sponsorship may be available depending on business considerations and role requirements