[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, bolthires/CD) that scales with our needs. • Evaluate and tune algorithms for accuracy, efficiency, bolthires, 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 bolthires, 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 bolthires Azure and Databricks (notebooks/jobs, bolthires 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/bolthires 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 (bolthires/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, bolthires 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 isCompany 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