On-Call AI Solutions Specialist - REMOTE

Overview ICF is seeking a technically skilled On-Call AI Solutions Specialist for the 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. This position is part-time, up to 30 hours per week, and is an on‑call/ as needed role. Key Responsibilities 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. Analyze AI system performance, 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. Basic Qualifications Bachelor’s degree in Computer Science, AI/ML, Computational Linguistics, or related field. At least 2 years of experience in prompt engineering, LLM fine‑tuning, or NLP model development. Preferred Skills/Experience 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. Providing technical assistance to federal partners (1–3 years). Hands‑on experience with Amazon SageMaker, Amazon Bedrock, and AWS Glue. Proficiency in Python and experience with AI/ML libraries. Experience deploying serverless applications using AWS Lambda and Step Functions. Experience with chatbot development using Amazon Lex or similar frameworks. Understanding of prompt evaluation, model behavior tuning, SEO, and web performance metrics (GA4). Programming skills in Python or JavaScript with AI/ML libraries. Professional Skills Team player with 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. Outstanding professionalism, including good judgment, discretion, tact, and diplomacy. Independent decision making applying detailed knowledge of organizational procedures. Strong attention to detail and ability to produce error‑free work products. Excellent problem‑solving skills with ability to analyze situations, identify potential problems, and recommend solutions. Ability to work with all levels of internal staff and external partners. Willingness to innovate or create new approaches to reach desired goals. Sound business ethics, including protection of proprietary and confidential information. EEO Statement We are an equal‑opportunity employer. We will consider employment qualified applicants with arrest and conviction records. Reasonable accommodations are available for applicants with disabilities, including disabled veterans, and other individuals in all phases of the application and employment process. Pay Range Full‑time employment: $67,355.00 – $114,503.00 (Nationwide Remote Office – US99). #J-18808-Ljbffr ICF