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# Senior AI Engineer in Pittsburgh

- **Company:** Energy Jobline
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Python (Programming Language), Machine Learning, Automation of Marketing, PCI Data Security Standards, Azure Machine Learning, Robotic Automation Software, Software Engineering, SQL Databases, Systems Integration, TypeScript, Workflow Management Systems, Scripting, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Containerization, AI Platforms, Kubernetes, Machine Learning Operations, Azure AI, Api Design, Semantic Kernel, Docker, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.energyjobline.com/job/senior-ai-engineer-pittsburgh-32078654

## About the Role

* Strong software development and engineering skills, with proficiency in one or more modern (e.g., C#/.NET, Python, JavaScript/TypeScript)
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 * Hands-on experience building and deploying AI/ML solutions, LLM-based applications, or intelligent automation in production environments
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 * Demonstrated ability to use AI-assisted development tools to design and write code efficiently
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 * Experience leading, mentoring, and guiding teams or organizations on AI adoption and implementation strategy
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 * Strong proficiency with SQL and Python for data manipulation, scripting, and automation
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 * Experience with enterprise AI and automation platforms (RPA, workflow orchestration, ML services, cloud AI tooling)
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 * Solid understanding of API development, microservices, and system integration
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 * Familiarity with cloud platforms (Azure, AWS, or GCP) and CI/CD pipelines
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 * Detail-oriented with excellent organizational, analytical, and interpersonal skills
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 * Ability to work and multi-task in a fast-paced environment
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 * Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical audiences
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 * Knowledge of prompt engineering, RAG (Retrieval-Augmented ), and LLM orchestration frameworks (e.g., LangChain, Semantic Kernel)
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 * Familiarity with MLOps, model risk management, and responsible AI governance
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 * Experience with containerization and orchestration (Docker, Kubernetes)
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 * Relevant certifications (e.g., Azure AI Engineer, AWS Machine Learning, Microsoft Certified: Azure Developer)
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 * Understanding of banking regulations and compliance standards (PCI-DSS, SOX, AML/KYC, GDPR)
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