Location: Rockville, MD
Required Clearance: Ability to obtain Public Trust
Job Type: Full Time
Required Education: Bachelor's Degree in IT, Computer Science, or a related field is preferred
Required Experience: 10 years of relevant experience
Degrees may be substituted for years of experience: 8 years of experience
Travel: Possibly across US
Description
PingWind is seeking a Lead AI Software Engineer with a strong emphasis on Artificial Intelligence and Machine Learning to join the PingWind team supporting Agency for Healthcare Research and Quality's (AHRQ) Artificial Intelligence / Machine Learning strategy in Rockville, MD. As a Lead AI Software Engineer, you will play a critical role in ensuring the quality and reliability of AHRQ applications and products. Your responsibilities will include providing application and feature development leadership, coordinating with developers, developing reusable code to enable rapid development, and collaborating with cross-functional teams to deliver high-quality software to our stakeholders and users.
Responsibilities
• Provide application and feature development leadership, working with the Technical PM and Solutions Architect to plan projects for the team
• Coordinate and lead Developers and DBAs during development, enhancement, and ongoing maintenance of enterprise applications
• Implement the AHRQ Artificial Intelligence strategy
• Conduct Agile scrum ceremonies to facilitate development and hold team accountable to product roadmap
• Collaborate with stakeholders and users in requirement development and BPR activities
• Develop reusable code to enable rapid development
• Support effective continuous integration pipelines
• Write clean, efficient, and scalable code following best practices
• Debug, troubleshoot, and optimize application performance
• Participate in code reviews to ensure code quality and adherence to standards
• Implement security and data protection measures
• Document technical specifications and development processes
• Stay up to date with emerging technologies and industry trends
• Provide cross training and mentorship for developers on industry standards and best practices
Required Qualifications
• Bachelor's Degree in IT, Computer Science, or a related field
• 10 years of relevant experience
• Artificial intelligence and machine learning engineering
• Generative AI and large language models
• AI solution architecture and systems engineering
• AI/ML prototyping, testing, evaluation, performance assessment, and monitoring
• Integration and deployment of AI/ML capabilities within approved cloud, application, and infrastructure environments
• Responsible AI, information security, privacy, documentation, and technical risk management
Preferred Qualifications
• Proficiency in programming languages such as Java, Python, JavaScript, C/C++, or others
• Experience applying Artificial Intelligence and Machine Learning
• Knowledge of database systems and cloud platforms
• Familiarity with Agile and Scrum methodologies
• Strong problem-solving skills and attention to detail
• Excellent teamwork and communication skills
• Ability to work independently, manage multiple tasks, and meet project deadlines
• Attention to detail and a strong commitment to delivering high-quality software
Our benefits include:
• Eleven Federal Holidays
• Paid Time Off accrued each pay period
• Parental Leave
• Three medical plan choices with generous employer contribution
• Dental and Vision Insurance
• Company paid Short-Term and Long-Term Disability
• Company paid Life and AD&D Insurance
• 401k with competitive matching and vesting schedule
• Continuing education assistance
• Short Term / Long Term Disability & Life Insurance
• Medical, Dependent Care and Commuter Flexible Spending Accounts
• Employee Assistance Program
• Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
• 529 College Savings Plan
• Legal Insurance
• Pet Insurance
Salary Range
$125k-$175K
The pay range for this job 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) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.
Veterans are encouraged to apply
