Principal AI Prompt Engineer

SAIC•Flexwork, VA

2d•Remote

About The Position

SAIC is seeking an innovative, hands-on development oriented, AI Engineer with eight years' experience in AI/ML/NLP and strong experience in prompt and context engineering to refine LLM responses. Candidate will develop prototypes of emerging technologies that solve business problems. The candidate must have cloud engineering experience to ensure integration of the AI/ML/NLP solutions in cloud native environments. This resource will join an energetic and versatile team responsible for addressing the customer challenges through the use of advancing technologies. This is a remote job that can be worked from any location in the continental U.S.

Requirements

eight years' experience in AI/ML/NLP
strong experience in prompt and context engineering to refine LLM responses
cloud engineering experience to ensure integration of the AI/ML/NLP solutions in cloud native environments

Responsibilities

Develop end-to-end plans for cloud native AI/ML/NLP innovations that are compliant with cybersecurity policies.
Develop and engineer pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.
Optimize LLM responses through iterative prompt engineering / context engineering / RAG refinement.
Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
Develop low risk implementation plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices
Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate (ATO) certifications.
Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.
Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
Develop reusable code libraries and best practices for modernization and innovation development and deployment.
Stay current with advancements in AI and LLM's, research ML/NLP opportunities.
Support Agile product teams in integrating and operationalizing emerging technologies and data strategies.
Analyze data and usage to find patterns and solutions to business challenges.