Senior AI/ML Strategy & Architecture Leader

Ampcus, Inc; Nashville (TN); On-site; USD 180,000 - 260,000; Full time

Job summary

Ampcus Inc. is seeking a strategic and technically strong AI/ML leader to define and execute the organization\'s AI/ML strategy and accelerate adoption across products, engineering, and business functions in the United States.

The role focuses on Generative AI, LLMs, AI agents, MLOps, and scalable, secure AI-enabled software engineering. Lead cross-functional teams to design, develop, evaluate, and productionize AI/ML solutions, establish governance, and drive measurable business outcomes

Qualifications

• 10+ years of experience in software engineering, machine learning, data science, AI engineering, or technology leadership.
• 5+ years hands-on experience with AI/ML technologies.
• Demonstrated experience taking AI/ML solutions from experimentation to production.
• Strong experience with Generative AI and Large Language Models (LLMs).
• Experience designing RAG and agentic AI architectures.
• Strong understanding of APIs, distributed systems, data architectures, and cloud-native technologies.

Responsibilities

• Define and execute the enterprise AI/ML strategy aligned with business and technology objectives.
• Identify and prioritize high-value AI/ML use cases across products, engineering, and business operations.
• Develop AI/ML roadmaps covering experimentation, adoption, productionization, and scale.
• Evaluate emerging AI/ML technologies, models, platforms, and frameworks.
• Establish standards and best practices for AI/ML development, deployment, evaluation, and governance.

Skills

AI leadership

Strategic thinking

Python

Cloud platforms (AWS/Azure/GCP)

LLMs

Kubernetes/Docker

Executive stakeholder management

Tools

LangChain / LangGraph

PyTorch / TensorFlow

Kubernetes

Docker

Job description

Ampcus Inc. is seeking a strategic and technically strong AI/ML leader to define and execute the organization\'s AI/ML strategy and accelerate adoption across products, engineering, and business functions in the United States.

The role focuses on Generative AI, LLMs, AI agents, MLOps, and scalable, secure AI-enabled software engineering. Lead cross-functional teams to design, develop, evaluate, and productionize AI/ML solutions, establish governance, and drive measurable business outcomes