[Remote] AI Engineer I/II/III/Sr./Expert

Note: The job is a remote job and is open to candidates in USA. EQT Corporation is one of the leading producers of natural gas in the United States, striving to evolve into a modern, digitally enabled organization. They are seeking an AI Engineer to join their dedicated AI team, responsible for designing, building, and deploying AI/ML models to drive intelligent automation and data-informed decisions across the business.

Responsibilities

• 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.

Skills

• 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.
• Preferred candidates will have at least 1-2 years of hands-on experience building AI solutions.
• Working knowledge of Salesforce (Flow, Agentforce) and Databricks ecosystem extras (DBSQL, Mosaic AI, Serverless, Model Serving).
• Experience deploying AI agents at scale — managing orchestration, performance, and safety across multiple environments.
• Familiarity with Azure Foundry and large-scale enterprise AI deployment patterns.
• Experience with responsible AI practices (PII handling, safety guardrails, adversarial testing, and human-in-the-loop review).
• Streaming and event-driven ML (Structured Streaming, Delta Live Tables) and feature store practices.
• Performance optimization for inference (vector store tuning, caching, batching, quantization, accelerator-aware serving).
• Experiment tracking and monitoring tools (e.g., MLflow, Evidently, Arize).
• Infrastructure-as-Code and orchestration (e.g., Terraform, Bicep, Airflow, Databricks Workflows).

Company Overview

• EQT Corporation is America's only large-scale, vertically integrated natural gas producer with an evolutionary focus on our future. It was founded in 1888, and is headquartered in Canonsburg, PA, US, with a workforce of 1001-5000 employees. Its website is https://www.eqt.com/.

Company H1B Sponsorship

• EQT Corporation has a track record of offering H1B sponsorships, with 1 in 2024, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role.

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