Senior AI Engineer
On-site · St. Louis, Missouri, United States
Job Summary
Senior AI Engineer leading client engagements as the primary technical consultant to translate business problems into production-grade ML solutions with GenAI, NLP, and MLOps. Responsible for end-to-end ML implementations—from architecture to production deployment—building and maintaining CI/CD-enabled pipelines, deploying LLM-based applications (including RAG architectures), managing infrastructure with Docker and orchestration tools, leveraging Apache Spark for large-scale data processing, and contributing to practice growth through knowledge sharing and documentation.
Required Qualifications
- 4+ years of hands-on experience developing, deploying, and maintaining ML models in production environments
- 3+ years in a customer-facing consulting or solutions architect role with a focus on technical delivery
- Strong MLOps experience: model lifecycle management, versioning, monitoring, and automated deployment
- Proficiency with containerization (Docker) and data pipeline orchestration
- Proven experience deploying Generative AI and NLP solutions for client applications
- Excellent written and verbal communication skills
Additional Requirements
- US Citizenship or Green Card holder required to be eligible for this role
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