Why This Role Stands Out
Leverage your extensive AI/ML expertise to architect and deliver cutting-edge, large-scale AI systems within a reputable federal technology consulting firm, enjoying hybrid flexibility and comprehensive benefits. This role is ideal for seasoned engineers with a passion for LLMs, RAG, and agentic AI who thrive on complex challenges and continuous learning in a collaborative environment. Apply now to make a significant impact on groundbreaking projects!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Fairfax, VA, United States
Posted
1 week ago
MicroservicesAWSMLOpsMachine LearningAzureDeep LearningGenerative AIGoogle CloudLLMPyTorchPythonTensorFlow
Job Description
A federal technology consulting company is seeking a Senior Principal Software Engineer/Developer - AI to join its team. The ideal candidate will have 12-15+ years of software engineering experience and 8+ years of applied AI/ML experience, with a background in architecting and delivering large-scale AI systems and exposure to areas such as large language models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, orchestration frameworks, MLOps, distributed training, and enterprise AI modernization. Experience with Python, PyTorch, TensorFlow, cloud platforms (AWS, Azure, Google Cloud Platform), and full-stack application development is wanted, and prior work with federal environments, AI governance, cloud-native architectures, DevSecOps, microservices, and managed AI platforms such as AWS Bedrock, Azure OpenAI, and Google Vertex AI is preferred. U.S. citizenship is required, and an active Public Trust, Secret, or higher clearance is a bonus. Required Skills & Experience
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
- 10+ years of data science, ML, or AI experience
- Expert-level Python skills
- Machine learning, deep learning, and LLM experience
- RAG, vector databases, and generative AI tools
- MLOps and production model deployment
- Cloud platforms (AWS, Azure, Google Cloud Platform)
- Enterprise-scale AI and analytics delivery
- Statistics, experimentation, and model evaluation
- Bachelor's or Master's degree in a related field
- A degree in Computer Science, Engineering or a related field
- Competitive Hourly Rate
- Full-Health Benefits
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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