The Leidos Digital Modernization Sector is seeking an experienced Azure AI Software Engineer which allows for full time telework from any U.S. based location.

POSITION SUMMARY:
We are seeking an experienced Azure AI Software Engineer to design, develop, and deploy intelligent automation solutions leveraging Microsoft Azure. The ideal candidate will be Azure certified, have several years of hands-on Azure experience, and a strong background in automating business processes using Robotic Process Automation (RPA) tools.

PRIMARY RESPONSIBILITIES:

• Design, build, and test AI-driven automation workflows using Azure services and RPA platforms.
• Integrate automation solutions with enterprise systems, APIs, and data sources.
• Collaborate with stakeholders to map processes and define automation logic.
• Implement monitoring, logging, and exception handling for automated workflows.
• Optimize automation performance and reliability.
• Document automation designs and operational procedures.
• Support change management and user enablement for automated processes.
• Apply software engineering best practices (version control, CI/CD, testing, documentation) to all projects.
• Peer review code written by fellow team members.

BASIC QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or related technical discipline (or equivalent professional work experience).
• Azure AI Engineer Associate (AI-102) or similar Azure certification.
• 4+ years of hands-on experience with Microsoft Azure cloud services.
• Experience designing and implementing RPA solutions (e.g., Automation Anywhere, UiPath, Power Automate).
• Proficiency in Python, C#, or other relevant programming languages.
• Experience with data modeling, ETL pipelines, and API integration.
• Strong understanding of cloud computing, data management, and automation best practices.
• Excellent communication and documentation skills.
• Must be a U.S. Citizen and able to obtain and maintain a security clearance.

KEY COMPETENCIES:

• Proficiency in designing and implementing solutions using Microsoft Azure services, especially AI and automation tools.
• Hands-on experience with RPA platforms (e.g., Automation Anywhere, UiPath, Power Automate) for automating business processes.
• Strong programming skills in Python, C#, or similar languages.
• Experience with data modeling, ETL pipelines, and API integration.
• Familiarity with cloud computing concepts, data management, and modern data architectures.
• Understanding of machine learning and AI techniques, including supervised and unsupervised learning.
• Knowledge of software engineering best practices (version control, CI/CD, testing, documentation).
• Experience with database technologies (e.g., SQL, Oracle) and data visualization tools (e.g., Power BI) .
• Collaboration & Communication.
• Ability to communicate complex technical concepts to diverse audiences..
• Strong collaboration skills for working with data scientists, analysts, and business stakeholders.
• Ability to document automation designs and operational procedures clearly.
• Process & Automation Mindset.
• Ability to analyze, map, and optimize business processes for automation.
• Experience in implementing workflow automation solutions to reduce manual effort and enhance efficiency.
• Skills in monitoring, logging, and exception handling for automated workflows
• Continuous Improvement.
• Commitment to optimizing automation performance and reliability.
• Willingness to support change management and user enablement for automated processes

PREFERRED QUALIFICATIONS:

• Familiarity with automation platforms (RPA, workflow, or AI orchestration).
• Experience quantifying and modeling ROI for automation projects.
• Experience with data science, intelligent document processing, agentic AI and machine learning techniques.
• Familiarity with MLOps practices and deploying models into production.
• Experience with data visualization and BI tools (e.g., Power BI).
• Master’s degree in a related discipline.
  

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

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.