AI Engineer

Job Title: AI Engineer

Location: Remote

Summary: Red Cedar is seeking AI resources to review business processes and identify opportunities where AI can be implemented, with the potential to support the implementation of AI recommendations and automation initiatives.

Responsibilities:

Build AI solutions using Python, Visual Studio Code, and relevant programming/scripting languages

Develop AI-driven tools that convert business user stories into technical requirements

Integrate AI capabilities into existing enterprise automation frameworks

Deliver AI scripts and programs that run reliably approved environments

Document, train, and transition AI tools to operational teams

Requirements:

Bachelor's degree in Computer Science or a related field preferred but not required

Candidates without a relevant college degree must have an additional 4 years of relevant work experience

Must have 3–7 years of hands-on AI development experience

Must have 8+ years of experience leading or delivering AI, automation, or software development projects

Proven experience contributing to or leading AI/automation initiatives

Experience working in analytics, data-driven environments, or team leadership roles is highly desirable

Strong understanding of generative AI, LLM integration, and modern AI frameworks

Ability to obtain and maintain a Public Trust clearance and successfully complete a Government background screening process, including detailed forms and fingerprinting.

Non-U.S. Citizens must not have been outside the U.S. (including U.S. Territories) for more than 90 consecutive days within the last 3 years

Preferred Qualifications:

Strong analytical and problem-solving skills with a creative approach to complex technical challenges

Strong mathematical skills

Excellent communication skills with the ability to explain sophisticated AI concepts to non-technical stakeholders

Demonstrated ability to work in a collaborative, cross-functional team environment

Familiarity with Agile methodologies, cloud platforms, or enterprise-scale AI deployments is a plus