Overview
BigBear.ai is seeking a AI Innovation Intern to support BigBear.ai’s Innovation Org. This internship is designed for a student pursuing a degree in Information Systems, Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related technical field.
The Innovation Org serves as a connective layer across BigBear.ai’s business units and corporate functions, helping teams adopt GenAI tools, identify reusable capabilities, standardize effective workflows, and translate emerging AI technologies into practical enterprise value. The intern will work alongside senior technical leaders to help build agentic workflows, support AI enablement activities, research emerging tools and patterns, document reusable practices, and assist with mapping business-unit needs to technical capabilities.
This role is well-suited for a student who enjoys both hands-on technical development and cross-functional problem solving. The ideal candidate is comfortable learning quickly, asking good questions, organizing ambiguous information, and turning prototypes, research, or team feedback into useful artifacts for broader enterprise adoption.
What you will do
Assist in the design, development, and testing of AI-enabled workflows, agentic prototypes, RAG pipelines, and reusable automation patterns
Support the Innovation Org in identifying common technical needs, workflow gaps, and reusable capabilities across business units and corporate functions
Help research, evaluate, and document emerging GenAI tools, agent frameworks, vector databases, retrieval patterns, prompt workflows, and software-development practices
Contribute to lightweight prototypes, demos, internal tools, or reference implementations that demonstrate practical use of GenAI and automation
Assist with mapping business-unit needs to existing BigBear.ai capabilities, reusable assets, internal expertise, and potential technology solutions
Support documentation of reusable engineering assets, prompts, workflows, reference architectures, lessons learned, and internal enablement materials
Collaborate with senior engineers and technical leads on software-development tasks using Python, APIs, databases, cloud tools, and modern AI/ML libraries
Help prepare internal artifacts such as capability maps, technical summaries, use-case notes, workflow diagrams, demo materials, and research briefs
Participate in agile development activities, code reviews, technical discussions, and knowledge-sharing sessions
Support enterprise AI adoption efforts by helping capture lessons learned, success stories, technical patterns, and opportunities for standardization
What you need to have
Currently enrolled in a Bachelor's or Master's degree program in: Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field
U.S. Citizenship required
Familiarity with at least one programming language such as Python, JavaScript, or other Object Oriented or Functional programming languages
Basic understanding of AI, machine learning, data science, or large language model concepts
Interest in GenAI tools, agentic workflows, retrieval-augmented generation, automation, or applied AI systems
Ability to work with structured and unstructured information and synthesize findings into clear technical notes or recommendations
Strong problem-solving, analytical, and communication skills
Ability to work in a remote or hybrid environment with guidance from senior technical staff
Willingness to learn new tools, frameworks, and enterprise workflows quickly
What we'd like you to have
Experience with Python and common data/AI libraries such as pandas, Polars, NumPy, scikit-learn, or similar tools
Exposure to LLM-based workflows, RAG systems, LangChain, Hugging Face, vector databases, embeddings, or prompt engineering
Familiarity with relational databases, SQL, PostgreSQL, or database-backed application development
Exposure to vector databases such as Weaviate, Pinecone, Chroma, FAISS, or similar technologies
Experience with Docker, GitHub, CI/CD concepts, cloud platforms, or DevOps practices
Familiarity with REST APIs, Flask, FastAPI, web applications, or full-stack development concepts
Experience building or contributing to prototypes, internal tools, dashboards, notebooks, or user-facing technical workflows
Exposure to knowledge graphs, graph databases, semantic search, or entity-relationship modeling
Ability to document technical patterns, summarize research findings, and create reusable materials for broader team adoption
Prior internship, academic project, or team project experience involving AI/ML, data engineering, software development, or automation
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.