On-Call AI Solutions Specialist - REMOTE at ICF in Location not listed

On-Call AI Solutions Specialist - REMOTE Location: Nationwide Remote Office (US99) 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. 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. 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. Basic 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. 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. 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 Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read our EEOpolicy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please email Candidateaccommodation@icf.com and we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations. Read more about workplace discrimination rightsor our benefit offerings which are included in the Transparency in (Benefits) CoverageAct. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $67,355.00 - $114,503.00 Nationwide Remote Office (US99)