TRIMEDX-posted 3 months ago
Full-time
Indianapolis, IN
1,001-5,000 employees

The Manager, AI Applications & Software Engineering leads and grows a high-performing software engineering team focused on leveraging Large Language Models (LLMs) and other cutting-edge Artificial Intelligence/Machine Learning (AI/ML) technologies to solve real-world business challenges. This role drives the strategy, design, development, and implementation of intelligent applications that accelerate our digital transformation and unlock new capabilities across the enterprise. This leader operates as a strategic thinker who is also a hands-on technical leader and mentor, capable of shaping the vision for AI/ML-driven application development and translating it into actionable execution plans.

  • Lead cross-functional software engineering teams to build AI-enabled applications using LLMs and other advanced ML models.
  • Collaborate with business stakeholders to identify high-impact opportunities to apply AI to core business problems.
  • Oversee the end-to-end software lifecycle: architecture, development, testing, deployment, and support.
  • Champion AI innovation by integrating generative AI, prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and related techniques into software solutions.
  • Guide development teams in adopting best practices for ethical, responsible AI and model explainability.
  • Partner with data scientists and MLOps teams to operationalize models into scalable and maintainable systems.
  • Lead technology roadmap planning and prioritization to align AI application with business strategies.
  • Ensure applications meet performance, security, compliance, and service-level requirements.
  • Promote a culture of continuous learning and improvement with a focus on emerging AI/ML technologies.
  • Coach, develop, and retain top talent within the engineering organization.
  • Provide clear direction to ensure collective achievement of goals and objectives.
  • Create an environment of respect, collaboration, and open communication.
  • Identify and support development needs of direct reports and team members.
  • Create high levels of employee engagement by understanding organizational and personal drivers.
  • Set clear goals and expectations for teams, monitor, and enable performance.
  • At least 5 years of experience in software engineering with a strong foundation in AI/ML technologies.
  • At least 3 years of experience managing a team, preferably in a software development environment.
  • Proven experience deploying LLMs (e.g., OpenAI, Claude, Mistral, Gemini, LLaMA) in production environments.
  • Deep understanding of modern AI/ML frameworks, MLOps principles, and generative AI patterns.
  • Experience with cloud-based AI platforms (e.g., Vertex AI, SageMaker, Azure OpenAI, or Snowflake Cortex).
  • Strong background in software architecture and agile development methodologies.
  • Exceptional communication skills with the ability to explain complex AI concepts to business leaders.
  • Demonstrated success leading innovation initiatives in high-growth or enterprise environments.
  • Experience in integrating AI into enterprise platforms such as ERP, CRM, or custom business systems.
  • Familiarity with hybrid AI approaches (symbolic + neural), reinforcement learning, or autonomous agents.
  • Strong knowledge of prompt engineering, vector search, fine-tuning, and inference optimization.
  • Experience in regulated industries or handling sensitive data (e.g., healthcare, finance).
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