AI Engineer

🕒 April 20

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $116.9k - $243.1k / 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

• Build AI systems that power a scientific discovery platform for our federal client. • Develop conversational interfaces that allow users to access complex, multi-domain scientific datasets using natural language. • Design AI agents that automate experimental data processing at scale. • Implement retrieval‑augmented generation (RAG) architectures to transform decades of scientific research into actionable intelligence. • Collaborate with stakeholders to solve one of the client’s 26 “lighthouse challenges” requiring faster, smarter decision-making. • Work across technologies such as AWS Bedrock, Databricks, vector databases, and advanced prompt‑engineering techniques. • Build agent frameworks supporting scientific discovery in areas like subsurface geology, supply chain intelligence, and materials science.

🎯 Requirements

• US Citizen or Dual citizen (Public Trust eligible) • 5+ years of relevant professional experience. • Deep technical expertise in large language models (LLMs). • Strong hands-on experience building and implementing RAG systems. • Ability to work within fast-paced, cross-functional teams. • Readiness to dive deep into advanced AI platforms and architectures.

🏖️ Benefits

• You can find more information on benefits here.