Sr. AI Engineer/Architect

## About the Role As a Senior AI Engineer/Architect at Leidos, you will play a critical role in designing and implementing AI/ML solutions for document processing, classification, and summarization. Your expertise will be instrumental in driving the development of intelligent applications that define the company's software product suite. You will work closely with cross-functional teams to establish and enforce standards for model evaluation metrics, bias mitigation, and AI governance, ensuring the ethical and compliant deployment of machine learning solutions. The role involves leading the strategy for creating, maintaining, and scaling intelligent applications, as well as collaborating with stakeholders to identify business needs and develop tailored solutions. Your technical authority will be crucial in guiding the development of high-performance source code, ensuring seamless integration into the broader software release lifecycle. Leidos is committed to innovation and customer satisfaction, and this role offers a unique opportunity to work on cutting-edge projects that make a real impact. With the rise of remote work, you will have the flexibility to work from anywhere, collaborating with a team of experts who share your passion for AI and machine learning. ## What You Will Do - Design and implement AI/ML solutions for document processing, classification, and summarization - Lead the writing, testing, and maintenance of high-performance source code - Establish and enforce standards for model evaluation metrics, bias mitigation, and AI governance - Collaborate with stakeholders to identify business needs and develop tailored solutions - Develop and implement natural language processing and document AI technologies - Work with cloud services, including Amazon Textract, Comprehend Medical, and Amazon Bedrock - Productionize models, including APIs, pipelines, and monitoring - Ensure seamless integration of AI/ML solutions into the broader software release lifecycle - Provide technical guidance and oversight to junior team members - Stay up-to-date with industry trends and emerging technologies in AI and machine learning ## What We Are Looking For - A minimum of 12-15 years of prior relevant experience, or a Master's degree with 10-13 years of experience - A minimum of 7+ years of dedicated experience in AI/ML engineering - Mastery of Python and deep experience with natural language processing, large language models, and document AI technologies - Advanced proficiency with AWS AI ecosystems, specifically Amazon Textract, Comprehend Medical, and Amazon Bedrock - Proven track record of delivering production-ready models - Strong understanding of model evaluation metrics, bias mitigation, and AI governance - Excellent communication and collaboration skills - Ability to work in a fast-paced environment and adapt to changing priorities ## Nice to Have - A Doctorate in a technical domain - Experience with other cloud services, such as Google Cloud or Microsoft Azure - Familiarity with agile development methodologies and version control systems - Certification in AI or machine learning, such as Certified Data Scientist or Certified AI Engineer ## Benefits and Perks - Competitive salary and benefits package - Opportunity to work on cutting-edge projects with a leader in digital innovation - Flexible work arrangements, including remote work options - Professional development opportunities, including training and certification programs - Access to a network of experts in AI and machine learning - Recognition and reward for outstanding performance - Comprehensive health and wellness programs - Generous paid time off and holiday schedule

- To stand out as a candidate, be prepared to provide examples of your experience with AI/ML engineering, natural language processing, and cloud services.

• Make sure your resume and cover letter are tailored to the specific job requirements, highlighting your relevant skills and experience.
• Be prepared to discuss your approach to model evaluation metrics, bias mitigation, and AI governance, and how you ensure the ethical and compliant deployment of machine learning solutions.
• Familiarize yourself with Leidos' products and services, and be prepared to discuss how your skills and experience align with the company's goals and mission.
• Consider creating a portfolio of your work, including examples of your AI/ML projects and accomplishments, to demonstrate your expertise and showcase your skills.
• During the interview process, ask thoughtful questions about the role, the team, and the company culture to demonstrate your interest and enthusiasm for the position.