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! 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. Utilize NVIDIA AI Foundations and OpenAI ChatGPT to develop and refine AI applications. Leverage Databricks LLM and Databricks Mosaic AI for data analysis and AI model development. 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 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 Google Cloud services (e.g., 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 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 Linux Bash, PowerShell, or equivalent automation tools Security Clearance: Active Top Secret or TS/SCI or TS/SCI with polygraph clearance 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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . 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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $98,500 — $184,900 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 hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the  Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you   are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Requirements

Must-haves

Join us to drive positive, lasting change that moves missions and the government forward!
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.
Utilize NVIDIA AI Foundations and OpenAI ChatGPT to develop and refine AI applications.
Leverage Databricks LLM and Databricks Mosaic AI for data analysis and AI model development.
Show your curiosity, motivation, and passion for experimentation and continuous learning to drive AI innovation that is applicable across enterprise client domains.
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 Google Cloud services (e.g., 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
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
Active Top Secret or TS/SCI or TS/SCI with polygraph clearance
What We Believe

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: greenhouse
Effort: quick