Technical Program Manager

Boulder Connect; Franklin (TN); On-site; USD 120,000 - 190,000; Full time

Job summary

Boulder Connect is seeking a Senior AI Engineer to design and implement agentic AI systems, LLM applications, and production ML pipelines in enterprise environments.

You will own full lifecycle development from problem framing to deployment, build scalable backend services, and collaborate with data scientists, engineers, and stakeholders to deliver impactful AI solutions.

Qualifications

• 3+ years of AI/ML experience required.
• Expertise in LLM-powered applications and Python.
• Cloud deployment experience across environments.
• Strong knowledge of GenAI concepts, backend development, and problem solving.

Responsibilities

• Own full lifecycle development from problem framing to deployment.
• Build scalable backend services for enterprise environments.
• Design and implement agentic AI systems and ML pipelines.
• Collaborate with data scientists, engineers and stakeholders to deliver AI solutions, including demos.

Skills

Agentic AI design

LLM applications

Production ML pipelines

Full lifecycle development

Problem framing

Model deployment

API integration

Tools

Python

Cloud platforms

Kaggle

H2O.ai

Job description

We are seeking a Senior AI Engineer to develop impactful AI solutions for complex enterprise challenges.

In this hands-on role, you will design and implement agentic AI systems, LLM applications, and production ML pipelines, ensuring reliability and safety through guardrails and evaluation frameworks.

Your responsibilities include full lifecycle development — from problem framing and data exploration to model deployment and API integration — and building scalable backend services for diverse environments.

Collaboration is key: you will work directly with data scientists, engineers, and stakeholders to translate real-world needs into effective AI solutions, contributing to pre-sales efforts and delivering high-quality demonstrations.

Qualifications include 3+ years of AI/ML experience, expertise in LLM-powered applications, Python, and cloud deployment. Strong knowledge of GenAI concepts, classical ML, backend development, and problem-solving skills are essential.

Preferred skills include Kaggle experience, familiarity with H2O.ai products, and industry-specific deployment experience.

Join a dynamic, inclusive team focused on democratizing AI and delivering innovative solutions across industries.