GenAI Engineer
United States of America
Full Time
1 week ago
$98,000 - $185,000 USD
No H1B
Key skills
Generative AILarge Language ModelsTransformer ModelsRetrieval-Augmented Generation (RAG)Amazon KendraGoogle Vertex AIAWS BedrockAzure AIGoogle Cloud Document AIGoogle Cloud GeminiGoogle Cloud GemmaGoogle Cloud Generative AI Language ModelsVector DatabasesPineconeWeaviateChromaDBFAISSPythonSQLGoLLM Fine-TuningLLMOpsPrompt EngineeringNVIDIA AI FoundationsOpenAI ChatGPTAI EthicsResponsible AIGenerative AI Data EthicsAI-Assisted Development PlatformsCursorWindsurfClaudeTool-Using AI AgentsAPI IntegrationVMwareDockerKubernetesLinux BashPowerShellPassion for ExperimentationBashAIGenAILLMOpenAIGeminiRAGAgenticAWSAzureGoogle CloudBedrockVertex AI
About this role
Accenture Federal Services is dedicated to helping the US federal government strengthen the nation and improve lives through technology. They are seeking a Generative AI Engineer to identify and develop AI solutions for mission-critical problems, collaborating with a team to deliver innovative solutions that transform client ecosystems.
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
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)
- 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