Principal AI Prompt Engineer Full Time NEW

Location: Remote Work, VA, US

Date Posted: 2026-05-14

Category: Software

Subcategory: SW Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_REMOTE

Description

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.

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.

Qualifications

Education and Experience
MA/MS degree and 8 years or more of experience in artificial intelligence technologies, RAG, data modeling, machine learning, natural language processing, and security, and technologies in cloud native environments (AWS, Azure, Google).
Strong experience and track record of prompt engineering, context engineering, Retrieval Augmented Generation, LLM ingest.
Additional experience may be substituted for educational requirements where appropriate.
Qualifications and Skills Masters’ degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Minimum 8 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role.
Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations
Candidates must have lived in the United States continuously for the last 2 years
Track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in cloud native environments.
Strong communication and teamwork abilities.
Programming Languages: Python, R, SQL, Java
AI, ML, NLP Frameworks, models, and tools
Terraform and Gitlab Pipelines
Machine Learning & Statistical Tools PyTorch
Experience with Databricks
Data Manipulation & Analysis
Visualization Tools Tableau, Power BI
Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and Google Cloud Platform
Version Control & Collaboration: Git, Docker
Suitable combination of education, training, or experience maybe substituted for education.

Target salary range: $120,001 – $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.