About the Role
Title: Business Operations AI Engineer
Location: United States Remote
Job Description:
About Skylight
Skylight is a digital consultancy using design and technology to help government agencies deliver better public services.
We’re at the forefront of a civic movement to reinvent how all levels of government serve families, patients, and many others in today’s digital world.
If you want to play a part in driving this critical movement forward, we’d love for you to join our growing team of public interest technologists.
The work we do matters.
About the job
As Skylight continues to grow, we are committed to improving and scaling our internal operations to deliver even greater value to employees, customers, and the public. We see AI as a transformative tool to help us operate more efficiently, provide better employee experiences, enhance customer value, and advance our mission of making a public service difference.
As our Business Operations AI Engineer, you’ll help design, build, and implement AI-powered solutions that transform the way we work internally. Your work could include building AI systems that convert client project documentation into polished case studies for our website, or automating updates to career pathway roles based on real-time feedback and performance metrics. These solutions will directly enhance how Skylight leverages AI to create smarter, more efficient processes, empower teams to achieve their best, and ultimately improve how we deliver meaningful public services.
This role also offers the exciting opportunity to help shape and grow Skylight’s AI-driven business operations team, providing input on team structure, hiring needs, and strategies for scaling AI integration.
We’re on a mission to build diverse teams that reflect the communities we serve. If you bring unique perspectives, experiences, or skills that align with our mission, we want to hear from you — even if you don’t check every box in the qualifications.
This position reports to Skylight’s Chief Information Officer.
What you’ll do
- Analyze and identify opportunities to improve operational efficiency across key business areas (e.g., financial management, people operations, growth operations, and client delivery operations) using AI and other technology-based automation solutions
- Design, develop, and implement tools and workflows that address internal operational challenges, whether through AI or other innovative technologies
- Enable the integration of automation into client delivery operations, with applications in practice areas such as user research and software engineering
- Help implement a Retrieval-Augmented Generation (RAG) framework to allow AI systems to access select Google Workspace information, ensuring outputs are accurate and context-aware
- Automate routine processes — using a mix of AI and other technical approaches — to improve accuracy, speed, and employee satisfaction
- Build predictive models and analytics to support better decision-making across Skylight
- Help shape and grow Skylight’s AI-driven business operations team, providing guidance on scaling technology initiatives and fostering collaboration
- Collaborate with non-technical team members to design and implement solutions that are user-friendly and impactful
- Promote ethical AI practices and ensure compliance with data privacy standards.
- Provide training and support to help teams successfully adopt and use AI and other automation tools
What we’re looking for
Minimum qualifications
- Experience in machine learning or AI, with a track record of applying AI solutions to solve real-world challenges
- Experience designing or implementing technology-driven automation workflows
- A collaborative mindset and the ability to explain technical concepts to non-technical audiences
- Familiarity with frameworks for building AI solutions, such as TensorFlow, PyTorch, or similar
- Experience with or strong interest in AI-powered search and retrieval frameworks, such as Retrieval-Augmented Generation (RAG) or semantic search systems
- Proficiency in Python, R, or another programming language used in AI or automation development
- A proactive and resourceful approach to problem-solving and delivering results
- Passion for advancing public service through innovation and technology
Nice-to-have qualifications
- Familiarity with embedding models (e.g., OpenAI, Hugging Face) and vector-based search tools
- Experience integrating AI solutions with Google Workspace or similar platforms.
- Knowledge of data privacy and ethical AI practices
- Experience in natural language processing (NLP) tasks like document summarization or chatbot development
- Experience in government contracting or public service contexts