Agentic AI/ML Engineer - Local to Dallas - In-Person Interview

 

As a Senior AI/ML Engineer, you will own the end-to-end delivery of AI/ML solutions, from problem definition and data enablement through model development, deployment, and ongoing operations. You will design and support agentic and ML-driven capabilities integrated into platform workflows, CI/CD pipelines, and operational tooling.

Key Responsibilities

  - Design and deploy AI/ML models and agent-based systems to automate technology workflows for the Deposits2.0 platform.
  - Lead the integration of intelligent agents into operational processes to improve decision-making and workflow execution.
  - Build AI-assisted tooling to improve Infrastructure as Code (IaC) development and change management (e.g., Terraform, Ansible).
  - Partner with DevOps teams to enhance CI/CD pipelines using AI/ML for signal detection and automated remediation.
  - Develop AI-powered observability automation to manage application and infrastructure health.
  - Automate alert triage, root cause analysis, and incident response workflows.
  - Implement MLOps capabilities including monitoring, quality gates, and rollback strategies.

Required Qualifications

  - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  - 8+ years of total engineering experience, with 3+ years in production AI/ML engineering.
  - Strong Python programming skills (Java is a plus).
  - Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and agent-based systems.
  - Experience applying AI/ML to IaC workflows and observability toolsets (Prometheus, Grafana, ELK).
  - Strong foundations in data structures, algorithms, and software engineering best practices.