GenAI Engineer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! We are entering a new chapter in technology - one shaped by a generalization of AI. Accenture is a trusted industry leader at the forefront of AI innovation, providing clients with scalable AI and generative AI solutions for reinvention - to solve new problems, create new inventions, change how we work and live, and transform industries and governments. Seeking a Generative AI Engineer with the technical acumen and problem-solving ability to identify and develop new opportunities for the use of AI agents to solve real-world mission-critical problems for our clients. You will have expertise in the key components to power GenAI adoption - including rapid prototyping of custom applications, search capabilities such as R.A.G, Prompt Engineering Expertise, Large Language Model Expertise (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 ecosystem and reinvent the way they operate. The Work: 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. Here's what you need: Experience building, deploying or supporting production AI platforms, including scalability, reliability, GPU infrastructure, monitoring, and collaboration, with ML engineers; Hands-on experience delivering production solutions on AWS, Azure, or GCP, including AI services such as Bedrock, Azure AI, Vertex AI, or similar. Experience deploying and managing containerized applications on Kubernetes in production environments; Proven production operations experience, monitoring, troubleshooting, root cause analysis, incident resolution, performance optimization of AI platforms. Plus, modern Gen AI technologies such as LLMs, transformer-based models, and RAG. US citizenship requirement Bonus points if you have: 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 Linu…