Senior Engineering Manager - AI Application Development

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

DESCRIPTION
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. We are seeking a motivated Senior Manager, AI Application Development to lead a dynamic engineering team focused on integrating AI-driven automation using LLMs and enterprise AI APIs into our RCM (Revenue Cycle Management) products. This role emphasizes AI-enabled software development, requiring expertise in cloud-native architectures, API engineering, and Python-based AI integrations.

THE OPPORTUNITY
In athenaCollector, we build technology solutions that automate RCM workflows—managing claims, billing, and payment processes for healthcare practices. Now, we’re extending these capabilities with AI-powered workflows, leveraging existing LLM APIs (e.g., OpenAI, Azure OpenAI) to automate and optimize RCM processes. This role focuses on seamlessly integrating AI models into enterprise applications, ensuring high reliability, security, and scalability.

THE TEAM
The athenaCollector product is a vital component of the athenaOne platform, processing billions in client revenue annually. As the Senior Manager for AI Application Development, you’ll guide an engineering team specializing in AI-enabled business automation. Our environment values transparency, continuous learning, and a fail-fast mindset—your leadership ensures we consistently deliver cutting-edge capabilities to our healthcare customers.

RESPONSIBILITIES
1. Technical Oversight

• Drive the strategic vision and execution of AI-powered applications, ensuring effective integration of LLM APIs to automate and optimize RCM workflows.
• Ensure technical design specifications align with business objectives, prioritizing reliability, performance, and security.
• Own the AI orchestration layer, ensuring efficient implementation and optimization of AI-powered automation for business workflows.
• Review technical deliverables (e.g., code, documentation) to confirm compliance with coding standards, security protocols, and best practices.

2. Contributions to the Team

• Lead or participate in Agile ceremonies (stand-ups, sprint planning, retros) to foster accountability and ensure timely, high-quality deliverables.
• Drive AI adoption by integrating LLM-based services into existing enterprise APIs and microservices.
• Champion continuous improvement initiatives, setting clear goals and measures of success for the team.
• Help allocate work and remove impediments, ensuring commitments are met on time and with the desired level of quality.

3. Cross-Functional Coordination and Communication

• Collaborate across Technology and Product teams to align AI priorities with broader organizational goals.
• Work closely with product managers, UX teams, analytics, and other stakeholders to develop AI-powered automation solutions that improve user experience and efficiency.
• Establish strong partnerships with external teams (data science, security, compliance) to ensure transparency and unified project efforts.
• Clearly communicate technical roadmaps, project progress, and risk mitigation strategies to diverse audiences, including senior leadership.

4. Mentorship and Team Development

• Provide guidance and coaching to team members, helping them refine skills in AI-powered application development and API engineering.
• Offer regular feedback, performance reviews, and career development support to ensure ongoing growth and engagement.
• Cultivate a culture of innovation, continuous learning, and shared ownership within the engineering organization.

EDUCATION, EXPERIENCE, & SKILLS REQUIRED

• 10 years of experience in software development roles, including 6–8 years in managerial/leadership capacities.
• Experience in Python programming and data processing.
• Exposure in GenAI, AgenticAI, or similar AI tools.
• Hands-on solution delivery experience of integrating LLM APIs (e.g., OpenAI, Anthropic) into real-world applications.
• Proficiency in microservices, event-driven architectures, and scalable API development.
• Experience with cloud-native AI deployment.
• Knowledge of SQL and other database technologies.
• Experience working in HIPAA-compliant or regulated environments is a plus.
• Strong stakeholder management, capable of translating technical AI concepts into actionable business strategies.
• Proven track record of building and scaling high-performing engineering teams.
• Excellent communication, collaboration, an