Senior AI Platform Engineer
Leading Utilities Organization
Senior AI Platform Engineer
Strategic Staffing Solutions (S3) has an opening!
St. Louis, MO (Hybrid/onsite 3 days per week) W2 Contract-to-Hire
Position Summary:
You will work closely with the lead AI platform engineer to develop production-ready AI capabilities, platform components, integrations, and automation solutions that create measurable business value. A key part of the role is ensuring AI systems can be evaluated, monitored, and operated successfully in production.
Job Duties:
- Support the Lead AI Platform Engineer in designing, building, deploying, and operating enterprise AI solutions.
- Help build and evolve RAG, agent-based, and AI workflow solutions under the guidance of senior technical leadership.
- Implement AI observability, tracing, and monitoring capabilities.
- Integrate AI and automation solutions with enterprise applications, databases, APIs, document repositories, and file-based systems.
- Design and develop automation solutions, primarily using Blue Prism, UiPath, and ABBYY OCR.
- Partner with business stakeholders to understand processes and define automation requirements.
- Identify process gaps, business rule exceptions, and AI and automation risks.
- Troubleshoot issues, perform root cause analysis, and implement long-term solutions.
Required Skills:
- 2+ years of experience developing and supporting software solutions in production environments.
- Experience integrating systems through APIs, databases, and enterprise applications.
- Working knowledge of C#, Python, Java, or similar languages.
- Strong troubleshooting, analytical, and problem-solving skills.
- Understanding of testing, quality assurance, and release management practices.
- Interest in AI engineering, RAG applications, agentic workflows, LLM-based systems, or AI-enabled automation.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
Nice to Have:
- Experience with Blue Prism, UiPath, and/or ABBYY OCR.
- Experience with intelligent document processing or AI-enabled automation.
- Experience with AWS, Azure, or other cloud platforms.
- Experience with Databricks.
- Hands-on experience with LangGraph or similar agent orchestration frameworks.
- Experience building AI workflows that leverage tools, APIs, MCP servers, and external systems.
- Understanding of agent architecture patterns, prompt engineering, and LLM evaluation techniques.
* Beware of scams. S3 never asks for money during its onboarding process
Vacancy posted 3 days ago
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