GenAI Engineer

Accenture Federal Services•Washington, DC

1d•$98,500 - $184,900

About The Position

At Accenture Federal Services, our purpose is to make the US federal government stronger and safer, and to improve people's lives. We are a technology company within global Accenture, with over 13,000 employees dedicated to leveraging technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. We are recognized as a Glassdoor Top 100 Best Place to Work, offering a collaborative and supportive community where employees can grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive positive, lasting change that advances missions and the government forward. We are at the forefront of AI innovation, providing clients with scalable AI and generative AI solutions to solve new problems, create new inventions, transform industries, and reinvent how we work and live. We are seeking a Generative AI Engineer with the technical expertise and problem-solving skills to identify and develop new opportunities for AI agents to address real-world, mission-critical challenges for our clients. You will possess expertise in key areas for GenAI adoption, including rapid prototyping of custom applications, search capabilities like R.A.G., prompt engineering, large language model (LLM) selection, fine-tuning, and deployment, and GenAI use case evaluation. You will collaborate with a community of GenAI leaders, software and systems engineers, data scientists, solutions architects, and product owners to deliver innovative, world-class solutions that will transform our clients' ecosystems and reinvent their operations.

Requirements

Experience working with modern generative AI capabilities including large language models, transformer models, and retrieval-augmented generation
Expertise in AI platforms (e.g., Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI, etc.)
Experience with Cloud services (e.g., Google- Document AI, Gemini, Gemma, Generative AI Language Models)
Experience building RAG systems with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS)
Experience using modern software languages (e.g., Python, SQL, Go) to develop generative AI solutions
Must be a US Citizen (No Dual Citizenship)

Nice To Haves

Strong understanding of AI ethics, responsible AI, and generative AI data ethics.
Experience in LLM fine-tuning and LLMOps.
Ability to author and validate prompts for AI models.
Familiarity with NVIDIA AI Foundations and OpenAI ChatGPT.
Experience with AI-assisted development platforms (e.g., Cursor, Windsurf, Claude, etc.).
Experience implementing tool-using AI agents to assist in API integration - enabling agent access to external data sources and web services.
Experience using deployment/virtualization tools in containerized environments (e.g., VMware, Docker, Kubernetes)
Proficiency in scripting with Linux Bash, PowerShell, or equivalent automation tools

Responsibilities

Design and build GenAI use cases based on client's needs and specific data
Understanding of Agentic AI frameworks and design and when they are appropriate for use
Develop and deploy generative AI models using platforms such as Amazon Kendra, Google Vertex AI, and AWS Bedrock.
Implement large language models (LLMs) and transformer models to create advanced AI applications.
Integrate solutions with cloud-based AI services such as Google Cloud Document AI, Google Cloud Gemini, Google Cloud Gemma, and Google Cloud Generative AI Language Models.
Show your curiosity, motivation, and passion for experimentation and continuous learning to drive AI innovation that is applicable across enterprise client domains.