AI Applications & Software Engineering Manager

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• Everyone is focused on serving the customer and we do that by collaborating and supporting each other
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• Every associate matters and makes a difference

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Summary

The Manager, AI Applications & Software Engineering lead and grow 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.

Responsibilities

• 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.

Leadership: Provide clear direction to ensure collective achievement of goals and objectives. Create an environment of respect, collaboration, and open communication. Associate Development: Identify and support development needs of direct reports and team members including connecting them to resources both internally and externally to ensure a culture of continuous improvement. Associate Engagement: Create high levels of employee engagement by understanding organizational and personal drivers that impact drivers and developing action plans that deliver increased engagement. Performance management: Set clear goals and expectations for teams, monitor, and enable performance and intervene with appropriate action when performance gaps occur and provide timely, honest feedback. Ensure that associates complete assigned actions by required deadlines.

• All other duties as assigned.

Skills and Experience

• At least 5 years of experience in software engineering with a strong foundation in AI/ML technologies is required.
• At least 3 years of experience managing a team is required, preferably in 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.

Preferred Experience:

• 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).

Education and Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field is required, or equivalent experience.

#LI-Remote At TRIMEDX, we are committed to cultivating a workplace culture where every associate feels valued, supported, and empowered to thrive. This culture reflects our belief that our people are our foundation, their well-being is essential, and shared success is built through meaningful work, recognition, and opportunities for growth. We embrace people’s differences which include age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences. Visit our website to view our Workplace Culture Commitment , along with our social channels to see what our team is up to: Facebook, LinkedIn, Twitter. TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace. Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours. Apply tot his job Apply To this Job