# Principal AI & Machine Learning Engineer

**Company**: Hewlett Packard Enterprise
**Location**: Spring, TX
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $157,000 - $361,000 per year in Texas and $178,000 - $361,000 per year in California
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Spring-Texas-United-States-of-America/Principal-AI---Machine-Learning-Engineer--Spring--Texas--Onsite_1206761-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_148c39ba-ed5

## Description

We are looking for an experienced Principal AI Engineer to drive the design, development, and deployment of AI/ML-powered applications. The successful candidate will have strong hands-on experience in application development, lead and mentor a team of AI developers, define best practices, and deliver scalable, production-grade AI solutions aligned with business goals.

**Key Responsibilities:**

- Design, develop, and deploy AI applications, microservices, and APIs on Kubernetes-based infrastructure, ensuring scalability, reliability, and performance across development, staging, and production environments.

- Build and maintain end-to-end AI pipelines covering deployment, monitoring, versioning, and continuous improvement using modern MLOps/AIOps tools and practices.

- Lead and mentor a team of AI/ML engineers, conduct code reviews, and define best practices.

- Continuously evaluate and adopt emerging AI tools, frameworks, LLM technologies, and open-source solutions to enhance platform capabilities and team productivity.

- Collaborate closely with Business Analysts, Architects, and technical teams to align AI engineering efforts with business objectives and ensure secure, compliant solutions.

- Establish and maintain technical documentation, deployment runbooks, and SOPs.

**Required Qualifications:**

- 12+ years of hands-on experience in software engineering, with a strong focus on AI/ML application development and deployment.

- Expertise in Kubernetes – container orchestration, Helm charts, pod management, scaling, and troubleshooting.

- Strong experience with MLOps/AIOps tools and practices (e.g., MLflow, Kubeflow, Airflow, model registries, monitoring frameworks).

- Hands-on experience with cloud platforms – Azure, AWS, or GCP, including their AI services.

- Strong programming skills in Python; familiarity with FastAPI, Flask, or similar frameworks is mandatory.

- Hands-on experience with CI/CD pipelines and tools such as GitOps, Docker, Jenkins, or GitHub Actions.

- Experience working with Agentic and GenAI frameworks and vector databases etc.

- Experience with observability and monitoring tools (Prometheus, Grafana, OpenTelemetry) for AI workloads.

- Good understanding of AI security, responsible AI principles, and governance frameworks.

**Benefits:**

- Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.

- Investment in career development with programs to help reach career goals.

- Unconditional inclusion with flexibility to manage work and personal needs.

**Salary:**

- The expected salary/wage range for this position is $157,000 - $361,000 per year in Texas and $178,000 - $361,000 per year in California.

## Skills

### Required
- Kubernetes
- MLOps
- AIOps
- Python
- FastAPI
- Flask
- GitOps
- Docker
- Jenkins
- GitHub Actions
- Agentic
- GenAI
- vector databases
- Prometheus
- Grafana
- OpenTelemetry

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Spring-Texas-United-States-of-America/Principal-AI---Machine-Learning-Engineer--Spring--Texas--Onsite_1206761-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)