Why this role stands out
Accelerate your career as a Senior AI Engineer at Accenture Federal Services, where you will tackle high-impact, mission-critical projects while enjoying the flexibility of a hybrid work environment and a highly competitive salary. You will thrive in this role if you are a collaborative innovator eager to leverage cutting-edge MLOps and generative AI tools within a supportive, award-winning company culture that prioritizes your professional growth. Apply today to shape the future of technology for the federal government and take your engineering expertise to the next level.
Quick overview
Job description
Who you'll be:
We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable, production-ready AI systems. This role involves building data pipelines, implementing algorithms, and operationalizing models using MLOps. The ideal candidate will optimize models for accuracy, latency, and scalability, while ensuring compliance with AI governance and ethical standards.
What you'll do:
- Design, develop, and deploy scalable AI, ML, and generative AI systems.
- Build data pipelines for model training, evaluation, and inference.
- Implement algorithms in Python and operationalize models using 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.
- Collaborate with agile engineering teams to deploy production-level GenAI models and applications.
What you need:
- US Citizen with an Active TS/SCI CIP
- Bachelor’s degree required with a minimum of 8 years of experience in AI/ML.
- Advanced Python programming skills.
- Strong understanding of algorithms, data structures, and distributed systems.
- Hands-on experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn.
- Proficiency with cloud platforms such as AWS, Azure, or GCP.
- Experience deploying production GenAI/LLM systems, embeddings, and vector databases.
- Practical experience with MLOps tools such as MLflow, Azure ML, or Vertex AI.
- Background in NLP, computer vision, or reinforcement learning.
Preferred Qualifications:
- Experience in federal, defense, or highly regulated environments.
- Knowledge of ethical AI, governance frameworks, and secure development practices.
- Skills in large-scale optimization, GPU acceleration, or distributed training.
- Experience building APIs, microservices, and automated ML workflows.
#clearancejobs
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.
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