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AI Platform Architect​/ML Engineer

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: Phaxis
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 150000 USD Yearly USD 130000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: AI Platform Architect /  ML Engineer

Overview

We are seeking a hands-on AI Architect / Technical Lead to design and deliver enterprise-scale Generative AI and machine learning solutions. This role is open to candidates with strong GenAI, LLM, and ML engineering backgrounds, including those who have built production AI systems. The focus is on taking AI solutions from concept through production while ensuring scalability, security, and real business impact.

Responsibilities
  • Collaborate with business stakeholders and customers to lead AI and GenAI discovery workshops, identify high-value use cases, and translate business challenges into scalable AI and machine learning solution architectures.
  • Define AI strategies, technical roadmaps, and solution blueprints, producing clear proposals, architecture diagrams, and executive-level documentation to support delivery and adoption.
  • Architect, build, and deploy production-ready AI platforms for leading AI/ML frameworks and cloud platforms.
  • Design and develop LLM-based applications, including prompt engineering, orchestration workflows, retrieval-augmented generation (RAG), grounding strategies, evaluation frameworks, and monitoring.
  • Apply broader machine learning techniques (e.g., classification, regression, forecasting, recommendation systems) and integrate ML models into enterprise applications, APIs, and workflows.
  • Establish best practices, reusable components, and governance guardrails for AI development, supporting secure, responsible, and cost-effective enterprise adoption.
  • Act as the AI technical lead, mentoring engineers, leading architecture and design reviews, and ensuring operational readiness, compliance, and responsible AI practices across all deployments.
Ideal Background
  • Experience designing and delivering production AI, ML, or GenAI solutions
  • Hands-on work with LLMs and modern ML frameworks (e.g., OpenAI, Azure OpenAI, AWS, GCP, Hugging Face, Lang Chain, semantic orchestration tools)
  • Backgrounds may include AI Architect, ML Engineer, GenAI Engineer, Principal Engineer, or Technical Lead

Salary: 130k to 150k + bonus

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