Cleared GenAI Engineer
Arlington, TX - USA
Job Summary
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 clients 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.
Heres what you need:
- Experience working with modern generative AI capabilities including large language models transformer models and retrieval-augmented generation
- 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 Secret clearance
As required by local law Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states ofCalifornia 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:
$64000 - $140000 USD
Required Experience:
IC
Key Skills
About Company
Visit our Investor Relations section to view prior earnings releases, earnings call replays, transcripts and more.