TS/SCI Cleared AI Engineer: GenAI & MLOps

Accenture Federal Services; Chantilly (VA); On-site; USD 110,000 - 224,000; Full time

Job summary

Accenture Federal Services in Chantilly, VA is seeking a seasoned AI/ML Engineer to design, develop, and deploy scalable, production-ready AI systems. This role involves building data pipelines, implementing algorithms in Python, and operationalizing models with MLOps, CI/CD, and containerization.

You will optimize models for accuracy and latency, design APIs and microservices, and ensure governance and ethical standards for federal applications.

Qualifications

• U.S. citizenship with an active TS/SCI CIP and a Bachelor's degree in a relevant field.
• 10+ years of AI/ML engineering experience.
• Advanced Python programming skills with hands-on experience in PyTorch, TensorFlow, or scikit-learn.
• Hands-on experience deploying production GenAI/LLM systems, embeddings, and vector databases.
• Proficiency with cloud platforms such as AWS, Azure, or GCP and MLOps tools like MLflow, Azure ML, or Vertex AI.

Responsibilities

• Design, develop, and deploy AI, machine learning, and generative AI systems.
• Build and maintain data pipelines for model training, evaluation, and inference.
• Implement algorithms using Python and ML frameworks.
• Operationalize models utilizing MLOps, CI/CD, and containerization frameworks.
• Design and maintain APIs and microservices.
• Optimize models for accuracy, latency, and scalability.
• Ensure compliance with AI governance, documentation, and ethical standards.

Skills

Python

ML/DL concepts

Algorithms & data structures

Distributed systems

GenAI/LLM systems

Education

U.S. citizenship with TS/SCI CIP and Bachelor's degree

Tools

PyTorch

TensorFlow

scikit-learn

MLflow

Azure ML

Vertex AI

Job description

Accenture Federal Services in Chantilly, VA is seeking a seasoned AI/ML Engineer to design, develop, and deploy scalable, production-ready AI systems. This role involves building data pipelines, implementing algorithms in Python, and operationalizing models with MLOps, CI/CD, and containerization.

You will optimize models for accuracy and latency, design APIs and microservices, and ensure governance and ethical standards for federal applications.