Leidos is looking for a Senior AI/ML Engineer to join our Digital Modernization Accelerator team. In this role, you will collaborate with a diverse team of experts to design, develop, and deploy cutting-edge AI and machine learning solutions. You will have the opportunity to work on high-impact projects that leverage advanced algorithms to extract insights, automate processes, and optimize performance across complex systems. This role offers a unique blend of technical innovation, cross-domain collaboration, and the chance to shape the future of digital transformation at Leidos and for our customers.

Primary Responsibilities:

• Design and develop AI models, algorithms, and architectures to address business challenges.
• Implement and deploy AI solutions on cloud platforms (AWS, Azure, GCP).
• Utilize Docker or containerization for packaging and deploying AI applications.
• Collaborate with cross-functional teams to integrate AI capabilities into products and systems.
• Optimize and fine-tune AI models for performance and scalability.
• Research and evaluate new AI technologies and frameworks.
• Translate customer requirements into technical solutions and features.
• Maintain technical documentation and reports.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field with 12+ years of engineering experience, which should include recent proven experience as an AI Engineer.
• Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or similar.
• Experience with cloud platforms (AWS, Azure, GCP) and deploying AI solutions in the cloud.
• Solid understanding of artificial intelligence concepts, machine learning algorithms, and deep learning techniques.
• Knowledge of Docker or containerization for AI application deployment.
• Familiarity with RAG architecture is highly desirable.
• Experience in understanding and connecting technology solutions to customer needs.
• Excellent problem-solving skills and ability to work independently and as part of a team.
• Strong communication skills and ability to explain complex AI concepts to non-technical stakeholders.
• US citizenship is required and able to obtain security clearance as needed.

Preferred Qualifications:

• Experience with MLOps best practices for deploying, monitoring, and managing AI models in production.
• Proven ability in solution architecture, designing scalable and resilient AI systems.
• Background in data engineering, including data pipelines, data transformation, and data warehousing.
• Familiarity with AI or data governance principles and practices.

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.