Principal AI Engineer

Sonic Healthcare USA

. Lead the architecture and technical direction for enterprise AI and machine learning solutions .

Posted 9/18/2026full-timeDallas • Texas • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading the architecture and technical direction for AI and machine learning solutions, with a strong focus on scalable AI applications, model governance, and compliance. Proven ability to mentor teams and drive AI strategy that aligns with business objectives and security requirements.

Highest-signal resume keywords

AI Architecture LeadershipPython ProgrammingLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI Orchestration Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPyTorchTensorFlowHugging FaceRAG ArchitectureVector DatabasesLangChainKubernetesMLOpsModel Monitoring

Soft Skills

Excellent CommunicationStakeholder Management

Tools & Technologies

MLflowDatabricksAzure AI ServicesAWS AI/ML ServicesVLLMOkta/SSO IntegrationSecurity PlatformsObservability Platforms

Industry Keywords

HealthcareCybersecurityRegulated IndustriesResponsible AI PracticesAI Governance Frameworks

Tech Stack

Tools & technologies

AWSAzureCyber SecurityKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead the architecture and technical direction for enterprise AI and machine learning solutions
Design, build, and deploy AI applications, LLM-powered products, RAG pipelines, and agent-based systems
Establish best practices for model development, evaluation, deployment, monitoring, and governance
Drive AI platform strategy, scalability, reliability, security, and performance
Partner with Engineering, Product, Security, and Data teams to translate business needs into AI-powered solutions
Evaluate emerging AI technologies and recommend adoption opportunities
Mentor engineers and provide technical leadership across AI initiatives
Ensure AI solutions align with security, privacy, and compliance requirements
Shape AI strategy, influence enterprise technology decisions, and build innovative AI solutions with measurable business impact

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Data Science, or related field
8+ years of software engineering experience
4+ years building AI/ML systems in production
Proven experience designing and deploying scalable AI solutions
Strong programming skills, preferably in Python
Experience with Large Language Models (LLMs)
Experience with Retrieval-Augmented Generation (RAG)
Experience with machine learning platforms and frameworks
Experience with AI orchestration frameworks (LangChain or similar)
Experience with vector databases and AI inference platforms
Experience leading complex technical initiatives from concept through production
Excellent communication and stakeholder management skills
Required technical skills: Python, PyTorch and/or TensorFlow, Hugging Face, LLM APIs, RAG Architecture, Vector Databases, LangChain or Similar Frameworks, Kubernetes and Container Technologies
Preferred: experience in healthcare, cybersecurity, or other regulated industries
Preferred: experience with MLOps, model monitoring, and AI governance frameworks
Preferred: knowledge of Responsible AI practices, security controls, and compliance requirements
Preferred: experience with distributed training, large-scale inference, and AI infrastructure
Preferred: contributions to open-source AI projects or published technical research
Preferred technical skills: MLflow, Databricks, Azure AI Services, AWS AI/ML Services, vLLM, Okta/SSO Integration, Security and Observability Platforms

Benefits

Comp & perks

Great Place to Work certified employer
Supportive and inclusive work environment
Teamwork and innovation-focused workplace