Job Title: AI Technical Leader
Location: Roanoke, VA (Hybrid/Remote Considered)
Job Type: Full-Time
Salary: Competitive, Based on Experience
Job Summary
We are seeking an AI Technical Leader to drive the design, development, and optimization of our AI-based solutions. This role requires deep expertise in AI/ML, large language models (LLMs), and system architecture, combined with strong leadership skills to guide development teams toward delivering scalable, efficient, and secure AI solutions.
The AI Technical Leader will work closely with engineers, data scientists, and executive leadership to define and execute AI-driven strategies, ensure best practices in AI system design, and oversee technical implementation.
Key Responsibilities
- Lead the end-to-end technical development of AI-powered applications, including Metis and Hermes.
- Architect and optimize LLM-based RAG systems, ensuring scalability, accuracy, and efficiency.
- Drive AI/ML model training, fine-tuning, and deployment strategies.
- Oversee data pipelines, vector databases, and backend integration with enterprise systems.
- Collaborate with project managers, software engineers, and AI researchers to define technical requirements and deliverables.
- Ensure compliance with security, privacy, and regulatory standards (e.g., HIPAA, SOC 2).
- Guide the team in best practices for AI model evaluation, testing, and continuous improvement.
- Optimize system performance, cost-efficiency, and resource utilization across cloud and on-prem deployments.
- Lead code reviews, mentor engineers, and foster a culture of technical excellence.
- Stay up-to-date with advancements in AI, NLP, deep learning, and RAG technologies, ensuring Ginkgo-AI remains an industry leader.
Required Qualifications
- Bachelor’s degree in Computer Science, AI, Data Science, or a related technical field from an accredited institution.
- 5+ years of experience in AI/ML development, software engineering, or technical leadership.
- Expertise in LLMs, RAG architectures, NLP, and machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Strong experience with vector databases, embeddings, and knowledge graph implementations.
- Proficiency in Python, Java, or other AI-focused programming languages.
- Deep knowledge of cloud AI/ML deployments (AWS, Azure, GCP) and on-prem solutions.
- Strong problem-solving skills with experience in optimizing AI systems for speed, accuracy, and scalability.
- Excellent communication and leadership skills with the ability to translate complex AI concepts for executives and stakeholders.
Preferred Qualifications
- PhD or Master’s degree in AI, Machine Learning, or a related field.
- Experience working with Medicaid, Medicare, or other healthcare AI applications.
- Knowledge of MLOps, CI/CD for AI models, and AI lifecycle management.
- Familiarity with cybersecurity best practices in AI system design.
- Prior experience leading AI research teams or enterprise AI product development.
Why Join Ginkgo-AI?
- Lead cutting-edge AI innovations in the healthcare and enterprise AI space.
- Work with a dynamic and talented team of AI engineers, developers, and researchers.
- Competitive salary and benefits package with growth opportunities.
- Opportunity to shape next-generation AI architectures and deployment strategies.