AI Engineer
Accenture Federal ServicesWashington, DCPosted 18 April 2026
Job Description
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!
The work:
Key Responsibilities:
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.
Here is what you need:
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.
Preferred experience:
Experience working with scientific datasets or domain areas such as geology, materials science, or supply chain intelligence.
Familiarity with AWS Bedrock, Databricks, and vector database ecosystems.
Background in designing AI-driven scientific or research workflows.
Strong prompt-engineering or AI agent–development experience.
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maryland,
Massachusetts,
Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland
. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits.
You can find more information on benefits here.
We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
$116,900
$243,100 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that ... (truncated, view full listing at source)
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