GenAI Engineer

🔥 0 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $98.5k - $184.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Accenture Federal Services

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2017

🤖 Artificial Intelligence

🔒 Cybersecurity

🏛️ Government

Artificial Intelligence • Cybersecurity • Government

Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.

📋 Description

• 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).

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities