AI Innovation & Internal Tools Engineering Intern

 Job Title: AI Innovation & Internal Tools Engineering Intern 
Clearance Required: None
Work Location: Tysons Corner, VA

 Key Responsibilities:

The AI Innovation & Internal Tools Engineering Intern will support Alpha Omega’s internal innovation initiatives focused on building enterprise AI capabilities and intelligent automation tools. This internship provides hands-on experience designing and developing AI-powered systems that improve internal operations, knowledge management, and proposal development processes. 

The intern will work closely with engineering and innovation teams to develop internal AI applications such as chatbots, knowledge retrieval systems, and automation tools that integrate with enterprise platforms like SharePoint and internal data systems. These solutions will help reduce manual effort, improve information access, and strengthen Alpha Omega’s internal innovation platform. 

This role is designed to build the company’s future talent pipeline for emerging roles in AI engineering, automation engineering, and internal platform development. 

• Design and develop internal AI-powered tools and applications to improve operational efficiency
• Support development of a secure internal AI chatbot that enables employees to interact with company knowledge using natural language
• Build and enhance a SharePoint Knowledge GPT system capable of searching and retrieving internal documentation and resources
• Assist in developing a Proposal Assistant using Agentic RAG that analyzes historical proposal data to support future RFP responses
• Contribute to building a PMO Intelligence Dashboard that connects internal systems and provides real-time reporting and insights
• Integrate AI systems with internal enterprise platforms such as SharePoint, internal databases, and APIs
• Support development of semantic search and vector database capabilities for enterprise knowledge retrieval
• Collaborate with engineering teams to deploy AI solutions using cloud services and modern development frameworks

Required Qualifications:

Required Experience/Skills:

 Technical Skills 

• Strong Python development skills 
• Experience building applications using frameworks such as FastAPI, Django, or Flask 
• Familiarity with LLM and generative AI platforms (e.g., Azure OpenAI, AWS Bedrock, or open-source models) 

AI & Machine Learning Knowledge 

• Exposure to NLP or deep learning frameworks such as: 
• PyTorch 
• TensorFlow 
• Hugging Face Transformers 
• spaCy 

AI System Development 

• Familiarity with RAG systems and agent-based frameworks such as: 
• LangChain 
• LlamaIndex 
• Semantic Kernel 
• Haystack 

Data & Search Technologies 

• Experience or exposure to vector databases and semantic search technologies, including: 

• Pinecone 
• Weaviate 
• FAISS 
• Chroma 
• pgvector 

Cloud & DevOps 

• Familiarity with AWS, Azure, or Google Cloud 
• Experience working with Docker and CI/CD pipelines 
• Experience integrating with enterprise systems via APIs 

Expected Outcomes: 

During this internship, the candidate will: 

• Gain hands-on experience developing enterprise AI solutions and automation tools 

• Work with modern LLM architectures, RAG systems, and AI development frameworks 

• Learn how AI platforms integrate with enterprise knowledge systems and APIs 

• Contribute to real internal tools used by engineering, program management, and proposal teams 

• Build a portfolio of enterprise AI applications and automation systems 

 Career Path Opportunities: 

Successful interns may transition into future roles such as: 

• AI Engineer
• Automation Engineer
• Internal Tools Engineer

These roles support internal innovation initiatives as well as customer-facing AI and automation solutions across federal programs. 

Preferred Qualifications:

(Required or Preferred) Education:

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in:
  • Computer Science 
  • Artificial Intelligence 
  • Data Science 
  • Software Engineering 
  • Information Systems 
  • or a related field 

Application Deadline: June 1st, 2026

Our Company:

Alpha Omega is an award-winning solutions provider dedicated to delivering mission-enabling technology and strategic solutions for our customers. Since our founding in 2016, we have grown to over 700 employees nationwide consisting of former operators, technologists, and strategists who bring decades of government and industry experience. They are united by one purpose: ensuring our nation’s continued global leadership.

We have a unified operating model providing technical capabilities and solutions for customers across two main business units:

• National Security – supporting agencies such as the Department of Homeland Security (DHS), Navy, Air Force, Army, and the Department of State (DOS). 
• National Resilience – supporting agencies such as Federal Deposit Insurance Corporation (FDIC), Treasury, Health & Human Services (HHS), National Institutes of Health (NIH), National Oceanic and Atmospheric Administration (NOAA) and the United States Department of Agriculture (USDA)

Through strategic partnerships, intellectual property, and relentless drive for innovation, Alpha Omega is shaping the future of government technology. We are proud to be a Virginia Best Places to Work 8 times, an Inc. 5000 honoree 7 times, and a Washington Post Top Workplaces 4 times. Join us in driving transformation that secures the nation's future. 

 Culture and Values:

Guided by our core values—Harmony, Engagement, Accountability, Resourcefulness, and Tenacity (HEART)— we foster a culture of innovation, collaboration, and continuous learning and are committed to delivering high-impact solutions. We recognize and reward hard work.

Alpha Omega's culture is driven by our values and mission. We invest in top talent through mentorship, growth, and meaningful work. We value individuality, reward integrity, and foster a diverse, high-performing team united by purpose-at work, in service, and in the community.

Alpha Omega Integration, LLC (Alpha Omega) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

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