AI Implementation Specialist

DRT Strategies, Inc.•Silver Spring, MD

2d•$70,000 - $80,000

About The Position

DRT Strategies provides management consulting and IT solutions to federal, state and local government, and commercial clients. The company’s philosophy, “Driving Resolution Together,” emphasizes collaboration with clients to address challenges and achieve project goals. This position supports a task order for HFP, whose mission is to ensure the safety and wholesomeness of a wide range of food, beverage, dietary supplement, cosmetic, and related products. The task order provides administrative support services intended to sustain HFP’s essential business functions and operational requirements. The AI Implementation Specialist performs and integrates moderately complex AI services across operational, functional, or organizational areas. The role designs and conducts studies, analyses, and research; provides professional and consulting services; and prepares presentations and recommendations. The specialist will develop knowledge repositories and prompt resources for Elsa, support office users in adopting Elsa in their workflows, and contribute to staff training and continuous improvement.

Requirements

At least 3 years of software development experience, including at least 1 year focused on AI/ML or LLM-based application development.
Strong proficiency in Python and experience building and deploying AI-powered applications.
Hands-on experience with LLM APIs such as Anthropic Claude, OpenAI GPT, or Google Gemini, and agentic frameworks such as LangChain or LangGraph.
Experience with prompt engineering techniques, including chain-of-thought and retrieval-augmented generation (RAG).
Familiarity with vector databases, embeddings, and semantic search, such as Pinecone, Weaviate, ChromaDB, or pgvector.
Understanding of responsible AI principles, including transparency and human oversight in agentic systems.
Strong written and verbal communication skills, including the ability to explain complex AI concepts to non-technical stakeholders.
Ability to obtain and maintain a U.S. government Public Trust clearance.
Must be a U.S. citizen or lawful permanent resident (green card holder) to meet contract requirements.

Nice To Haves

Working experience with the FDA.
Bachelor’s degree in Information Systems, Computer Science, Software Engineering, or a relevant field (preferred).
Relevant AI/ML, cloud, or data engineering certification, such as AWS ML Specialty or Google Professional ML Engineer (preferred).

Responsibilities

Design and implement structured compliance and enforcement knowledge repositories that integrate with Elsa’s capabilities.
Establish taxonomy and metadata standards to make information searchable and retrievable.
Assist with developing quality assurance protocols to ensure stored information is accurate and relevant.
Help OCE leadership assess office needs and develop a plan for AI agent and prompt development.
Develop standardized prompt templates for common office use cases.
Create a prompt library with examples categorized by function and complexity.
Test and refine prompts to improve output quality and consistency.
Develop user guides, quick-reference materials, and video tutorials.
Provide ongoing consultation to office users implementing Elsa in their workflows.
Gather user feedback, identify common pain points and knowledge gaps, and recommend improvements.
Assist with training staff to incorporate Elsa into their workflows.
Design and conduct studies, analyses, and research; provide professional and consulting services; and prepare presentations and recommendations.