[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 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. Apply tot his job