Chief AI/ML Architect & Strategy Leader

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

Job summary

Ampcus Inc. in Nashville, TN, is seeking a strategic AI/ML leader to define and execute the enterprise AI/ML strategy and accelerate AI adoption across products, engineering, and business functions.

The role will lead the design, development, evaluation, and productionization of AI/ML solutions, with a strong focus on Generative AI, LLMs, AI agents, and intelligent automation, translating technical capabilities into measurable business outcomes.

Qualifications

• 10 years of experience in software engineering, machine learning, data science, AI engineering, or technology leadership.
• 5 years of hands-on experience with AI/ML technologies.
• Strong experience with Generative AI and Large Language Models (LLMs).
• Experience designing RAG and agentic AI architectures and cloud AI/ML platforms.
• Excellent communication and executive stakeholder-management skills.

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.
• Lead development of Generative AI solutions using LLMs and multimodal models.
• Establish governance, security, and responsible AI practices across the organization.
• Drive adoption of AI coding assistants and AI-powered software development practices.

Skills

Software engineering leadership

AI/ML leadership

Generative AI

LLMs

APIs & distributed systems

Stakeholder management

Tools

AWS/Azure/GCP

Python

Kubernetes & Docker

LangChain

APIs & Microservices

Job description

Ampcus Inc. in Nashville, TN, is seeking a strategic AI/ML leader to define and execute the enterprise AI/ML strategy and accelerate AI adoption across products, engineering, and business functions.

The role will lead the design, development, evaluation, and productionization of AI/ML solutions, with a strong focus on Generative AI, LLMs, AI agents, and intelligent automation, translating technical capabilities into measurable business outcomes.