AI/ML Architect, SME

Job not on LinkedIn

🔥 51 minutes ago

⚜️ Louisiana – Remote

⚜️ Louisiana – Remote

💵 $170.1k - $212.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LouisianaNOW.Jobs

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎯 Recruiter

🏪 Marketplace

Recruitment • Marketplace

LouisianaNOW. Jobs is a regional jobs portal and talent attraction site focused on connecting job seekers to employers and economic opportunities across Louisiana. The site highlights regional communities, industry sectors, current employers who are hiring, career advice articles, and job listings, and appears to be operated or supported by LED FastStart (Louisiana Economic Development). It’s positioned as a marketplace that promotes Louisiana’s growing industries and helps match talent with local openings and employer investment announcements.

📋 Description

• Define, document, and maintain a scalable, modular AI/ML architecture aligned with enterprise cloud strategy and CMM Program requirements • Architect and implement end-to-end AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, monitoring, and retraining • Integrate MLOps best practices for continuous integration, delivery, and machine learning model lifecycle management • Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient • Use Infrastructure-as-Code tools to provision and manage cloud-based AI/ML infrastructure according to federal compliance and security standards • Design and support reusable, secure, performant AI/ML services and APIs for enterprise applications • Conduct model validation and optimization in cloud environments while ensuring responsible AI, fairness, and transparency • Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur • Support inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports • Guide teams in selecting and securely integrating third-party ML tools, frameworks, or SaaS offerings • Provide technical leadership, strategic direction, and AI/ML architecture tool recommendations for the CMM Program

🎯 Requirements

• BA/BS or equivalent required; Master of Arts or Science in a related field preferred • 15+ years of related experience required • At least 5+ years of recent, demonstrable, hands-on experience architecting and deploying AI/ML workflows in cloud environments • Experience may be considered in lieu of degree: HS with 19+ years, AA/AS with 17+ years, BA/BS with 15+ years, MA/MS with 13+ years, or Doctorate/Ph.D. with 12+ years • Experience with Amazon SageMaker AI, Azure Machine Learning, and/or Google Cloud Vertex AI • Hands-on experience with TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras • Strong Python programming skills • Experience with Docker containerization and Kubernetes orchestration • Experience with MLflow, Kubeflow, TFX, Airflow, and CI/CD integration for model deployment • Familiarity with federal data governance, security, and privacy standards, including JISF, NIST 800-53, and FedRAMP • Proficiency with Terraform, CDK, or CloudFormation • Experience with multi-tenant distributed systems and cloud-native architecture patterns • Must be able to pass a background check to obtain a position of Public Trust • Must be a US Person: Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen • Preferred but not required: AWS Certified Machine Learning Engineer – Associate; AWS Certified Machine Learning – Specialty; Microsoft Certified: Azure AI Apps and Agents Developer Associate; Microsoft Certified: Machine Learning Operations Engineer Associate; Google Cloud Professional Machine Learning Engineer

🏖️ Benefits

• Comprehensive medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre-tax and post-tax contributions and company match • Full flex work weeks where possible • Vacation, sick, personal, holiday, paid parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team supporting career goals • Wellness packages • Competitive pay • Military-friendly workplace • Growth and professional development opportunities