[Hiring] On-Call AI Solutions Specialist @ICF

Role Description

ICF is seeking a technically skilled On-Call AI Solutions Specialist to for Child Welfare Information Gateway, a service of the Children’s Bureau (CB), Administration for Children and Families (ACF), US Department of Health and Human Services (DHHS) that centralizes resources for the nation’s child welfare, adoption, and foster care professionals, along with the public. The AI Solutions Specialist will lead the development, testing, and deployment of customized large language models (LLMs) within the AWS ecosystem. This role focuses on prompt engineering, model optimization, and embedding AI capabilities into applications using AWS-native tools and services, with a strong emphasis on data transformation and automation. This role maximizes use of website performance metrics and search engine optimization strategies to continuously improve outputs. This position is part-time, up to 30 hours per week.

• Design, test, and refine prompts to optimize LLM outputs for accuracy, relevance, and tone across diverse use cases.
• Train and fine-tune LLMs using proprietary datasets and prompt engineering techniques.
• Embed AI prompts into applications and software to automate complex or repetitive tasks.
• Monitor performance data to optimize outputs and fine-tune strategies.
• Support the integration of AI-powered chatbots into team workflows and enterprise platforms.
• Monitor AI system performance, analyze output quality, and iterate based on feedback and metrics.
• Measure SEO and adjust strategies to improve performance on key terms.
• Collaborate with domain subject matter experts, product, engineering, and UX teams to align AI behavior with user expectations and business goals.
• Maintain documentation of prompt libraries, model behaviors, and integration strategies.

Qualifications

• Bachelor’s degree in Computer Science, AI/ML, Computational Linguistics, or related field.
• 2+ years of experience in prompt engineering, LLM fine-tuning, or NLP model development.

Requirements

• Master’s degree in Computer Science, AI/ML, Computational Linguistics, or related field.
• Experience with Retrieval-Augmented Generation (RAG) using Amazon Kendra or OpenSearch.
• Familiarity with vector databases and embedding models hosted on AWS.
• Knowledge of IAM roles, security best practices, and cost optimization in AWS environments.
• Experience integrating AI into CI/CD pipelines using AWS CodePipeline or CodeBuild.
• Demonstrated experience (1-3 years) providing technical assistance to federal partners.
• Hands-on experience with Amazon SageMaker, Amazon Bedrock, and AWS Glue.
• Proficiency in Python and experience with AI/ML libraries.
• Familiarity with deploying serverless applications using AWS Lambda and Step Functions.
• Experience with chatbot development using Amazon Lex or similar frameworks.
• Strong understanding of prompt evaluation, model behavior tuning, SEO, and web performance metrics (GA4).
• Programming skills in Python or JavaScript, with experience in AI/ML libraries.

Professional Skills

• Team player with the ability to work collaboratively in a fast-paced environment.
• Ability to manage multiple projects simultaneously and maintain high-quality results.
• Great organization and time management skills.
• Excellent verbal, interpersonal, and written communication skills.
• Demonstrated, outstanding level of professionalism, including ability to exercise good judgment, discretion, tact, and diplomacy.
• Ability to apply detailed knowledge of organizational procedures to make independent decisions.
• Strong attention to detail and ability to produce error-free work products.
• Excellent problem-solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions.
• Ability to work with all levels of internal staff, as well as outside teaming partners.
• Willingness to innovate or create new approaches to reach desired goals.
• Sound business ethics, including the protection of proprietary and confidential information.

Pay Range

The pay range for this position based on full-time employment is: $67,355.00 - $114,503.00.