Senior AI Software Engineer

Overview

Purpose

The Senior AI Software Engineer is responsible for designing, developing, deploying, and supporting scalable AI-enabled software solutions, cloud-native applications, agentic AI systems, and data platforms within the Microsoft Azure ecosystem. This role partners with business, product, analytics, consulting, and security teams to deliver secure, reliable, and production-ready technology solutions that support healthcare and highly regulated environments.

Responsibilities

Work Performed and Job Requirements

• Solution Design and Engineering
  • Design, develop, deploy, and support scalable AI-enabled applications, agentic systems, APIs, and data solutions.
  • Translate business and client requirements into secure, production-ready technical solutions.
  • Develop cloud, data engineering, and AI/ML solutions using Azure, Databricks, and related technologies.
  • Build and integrate AI-enabled capabilities including generative AI, predictive analytics, automation, and NLP solutions.
  • Apply modern software engineering practices including automated testing, CI/CD, code reviews, and infrastructure-as-code methodologies.
  • Support solution optimization, troubleshooting, scalability, and operational performance improvement.
• Security and Compliance
  • Design and support secure, scalable, and compliant solutions that protect healthcare and other sensitive data.
  • Apply healthcare privacy, security, governance, and compliance standards throughout the solution lifecycle.
  • Support platform reliability, monitoring, and operational improvement initiatives.
• Collaboration and Continuous Improvement
  • Collaborate with product owners, consultants, data engineers, security teams, and business stakeholders to deliver technology solutions.
  • Contribute to technical standards, architecture discussions, best practices, and continuous improvement initiatives.
  • Maintain current knowledge of emerging AI, cloud, healthcare data, and software engineering trends.
  • Support a fast-paced environment with multiple priorities and deadlines.
• All other duties as assigned.

 

Qualifications

Education & Training

Minimum of a bachelor’s degree in computer science, software engineering, data science, information systems, or related field required. Equivalent professional experience may be considered in lieu of a degree. Master’s degree and relevant cloud, data engineering, or AI/ML certifications preferred.

 

Experience

Minimum of 7 years of professional software engineering experience required, including experience designing and deploying cloud-based solutions within Microsoft Azure environments. Experience developing AI-enabled applications, data engineering solutions, and cloud-native technologies required. Experience working with healthcare data, HIPAA-regulated environments, or other highly regulated industries preferred.

 

Knowledge, Skills, and Abilities

• Strong software engineering and application development skills.
• Strong knowledge of Microsoft Azure, cloud architecture, and scalable data engineering practices.
• Understanding of AI/ML solution development, deployment, and operationalization concepts.
• Strong knowledge of agentic systems and multi-agent frameworks.
• Knowledge of healthcare privacy, security, compliance, and governance requirements.
• Ability to design and support secure, scalable, and maintainable technical solutions.
• Strong analytical, problem-solving, organizational, and project management skills.
• Excellent written, verbal, and interpersonal communication skills.
• Ability to explain technical concepts to technical and non-technical audiences.
• Ability to work independently and collaboratively in a fast-paced environment.
• Ability to manage multiple priorities and deadlines while maintaining confidentiality and sound judgment.

EEO

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Additional Info

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