AI Engineer - Senior
Summary
Senior AI/ML engineer building and deploying scalable, production-ready AI, ML, and generative AI systems for US federal government clients. Day to day involves Python development, data pipelines, MLOps/CI/CD, APIs and microservices, and model optimization on cloud platforms, requiring an active TS/SCI clearance.
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.
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.
Skills
- Agile
- AI
- API
- AWS
- Azure
- CI/CD
- Cloud
- Computer Vision
- Containerization
- Data Pipelines
- Distributed Systems
- Distributed Training
- Embeddings
- GCP
- Generative AI
- LLM
- Machine Learning
- Microservices
- MLflow
- MLOps
- NLP
- Python
- PyTorch
- Reinforcement Learning
- scikit-learn
- TensorFlow
- TypeScript
- Vector Databases
- Vertex AI
As published by greenhouse · 16 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (1)
- If yes, please list the full name of the employee(s) and your relationship to them. optional
Pick from a list (15)
- State
- Are you at least 18 years of age?
- Are you legally authorized to work in the United States?
- Many AFS positions require US citizenship. Please indicate your citizenship status so we can determine eligibility for specific roles. optional
- Will you now or in the future require sponsorship for employment visa status (for example, H-1B visa status)?
- Have you entered into a non-disclosure or non-compete agreement or understanding of any kind?
- Have you worked at Accenture in the past?
- How did you hear about us?
- Do you hold a security clearance?
- At your current employer, are you currently working on a project with Accenture or have you worked on a project with Accenture in the past 24 months?
- Are you a current employee of the U.S. Government (including U.S. Congress or military) or any state or local government? This includes entities owned or controlled by the U.S. Federal Government, such as Amtrak, the United States Postal Service, and USAID (see list of exceptions below). NOTE: answer yes if you have accepted the “Fork-in-the-Road” offer, separated with a Deferred Retirement Plan, or are on administrative leave pending separation from the Government.
- Will you be serving as enlisted personnel in either the Reserves or the National Guard while working for AFS?
- Were you an employee of the U.S. Government (including U.S. Congress or military) or any state or local government within the past 10 years? This includes entities owned or controlled by the U.S. Federal Government, such as Amtrak, the United States Postal Service, and USAID (see list of exceptions below).
- Do you have any family members or people you have close relationships with who work for Accenture Federal Services?
- Affirmation