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# Senior Solutions Engineer in United

- **Company:** Energy Jobline
- **Location:** Carbon, WV, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Python (Programming Language), Machine Learning, Natural Language Processing, Azure Machine Learning, Search Technologies, Data Processing, Retrieval-Augmented Generation, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, Artificial Intelligence Markup Language (AIML), OpenSearch, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.energyjobline.com/job/senior-solutions-engineer-united-32078785

## About the Role

* Requires an BA/BS degree in Information Technology, Computer Science or related field of study
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 * Minimum of 5+ years related experience; multi-dimensional platform experience; Minimum
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 * 3+ years of hands-on AI/ML experience
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 * Experience with business and technical applications
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 * Or a combination of education and experience, which would provide an equivalent background.
\n, * Masters or PhD .
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 * Advanced Python skills for machine learning and data processing .
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 * Experience across the full ML lifecycle (development * deployment * monitoring) .
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 * Hands-on experience with fine tuning SLMs, LLMs, embeddings, RAG, or modern NLP techniques using vector search technologies like OpenSearch .
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 * Experience building production AI systems (APIs, pipelines, microservices) .
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 * Experience designing evaluation frameworks for ML/LLM systems .
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 * Familiarity with responsible AI principles (fairness, explainability, privacy) .
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 * Experience with cloud-based ML platforms and scalable architectures (AWS Bedrock, or equivalent AI model cloud providers) .
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 * Healthcare domain experience, including familiarity with data privacy and regulatory requirements .
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## Description

The Senior AI Solutions Engineer /Sr AI ML Specialist (will build and scale intelligent systems that improve healthcare outcomes. You will design, build, and deploy machine learning and LLM-based systems, taking models from experimentation to production within assigned client group, business unit or corporate department and utilizing various customer technology platforms.