AI Engineer – I/II/III/Sr./Expert

Job not on LinkedIn

October 30

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🦌 Connecticut – Remote

Although this job is listed in Connecticut, this company may be open to hiring remote in other states.

+7 more states

🏄 California – Remote 🦌 Connecticut – Remote 🌽 Illinois – Remote ⚜️ Louisiana – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Tennessee – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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EQT Corporation

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Energy • Compliance • Environmental

EQT Corporation is America's only large-scale, vertically integrated natural gas producer focused on delivering affordable, reliable, and clean energy. The company aims to operate responsibly while achieving Net Zero emissions for Scope 1 and Scope 2 greenhouse gas emissions, demonstrating a strong commitment to environmental sustainability. EQT is dedicated to creating long-term value for its stakeholders, including employees, landowners, and investors, while continuously improving practices in natural gas production and community engagement.

501 - 1000 employees

Founded 1888

⚡ Energy

📋 Compliance

📋 Description

• Design, build, and deploy AI/ML models end-to-end: from data exploration and feature engineering through training, evaluation, and productionization. • Operate models in production with observability for drift, bias, data quality, and service health; ensure reproducibility, versioning, and governance across data, code, models, and prompts. • Develop and maintain ML infrastructure (pipelines, jobs, orchestration, CI/CD) that scales with our needs. • Evaluate and tune algorithms for accuracy, efficiency, cost, and fairness. • Build generative AI and agent-based solutions (e.g., RAG pipelines, orchestration frameworks) that extend how our teams work and make decisions. • Leverage industry-standard AI tools and managed services when they improve speed, quality, or cost, while ensuring alignment with EQT’s architecture and security practices. • Partner across functions to shape requirements, SLAs, and success metrics; communicate outcomes in a way that drives understanding and adoption. • Stay current with advancements in AI/ML and bring forward ideas aligned with EQT’s architecture, strategy, and evolving business priorities.

🎯 Requirements

• Bachelor’s degree in technical discipline (e.g., computer science, engineering, mathematics) or equivalent combination of education and experience. • Experience designing, building, and operating ML systems in production; strong Python and software engineering fundamentals (git, code reviews, testing, packaging). • Hands-on with Microsoft Azure and Databricks (notebooks/jobs, Delta Lake, Spark, Unity Catalog, MLflow/Model Registry, and model serving patterns). • Solid data engineering skills (advanced SQL, Spark optimization, data modeling, pipeline orchestration, and performance/cost tuning). • Applied machine learning expertise (feature engineering, supervised/unsupervised learning, rigorous evaluation, bias/fairness mitigation). • Experience building LLM/RAG and agentic applications (embeddings, vector indexes, prompt/policy design, evaluation harnesses). • MLOps competency (CI/CD for ML, containerization, secrets/config management, monitoring/alerting). • Strong communicator—able to translate technical details into business impact, document outcomes clearly (e.g., READMEs, technical specs, lightweight dashboards/notebooks), and collaborate effectively across technical and non-technical teams.

🏖️ Benefits

• Remote work is being considered for this role excluding the following states: California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee.