Care Innovation - Senior Solution Engineer 135-2034

Community Care • Tulsa, OK

2d

About The Position

The Senior Solution Engineer is responsible for designing, configuring, and implementing customer-facing AI solutions that translate business and customer requirements into secure, scalable, production-ready systems. This role develops AI-powered applications by selecting and configuring AI models and agents, engineering prompts and agentic workflows, fine-tuning models for customer-specific use cases, and integrating AI capabilities into enterprise applications and business processes. This role delivers accurate, compliant, and measurable solutions that meet performance expectations, service level agreements (SLAs), and return on investment (ROI) objectives within a HIPAA-regulated healthcare environment.

Requirements

• Strong programming skills (e.g., Python and/or C#/.NET), including API usage, integration, and testing.
• Experience with Microsoft Azure services such as Azure Functions, Storage, Key Vault, and App Service; hands-on CI/CD in Azure DevOps and Git branching strategies.
• Solid understanding of REST APIs, JSON and XML, SQL, and data transformation concepts.
• Experience with Git-based workflows and CI/CD, secure SDLC, and secrets management.
• Strong attention to detail and communication skills, with the ability to translate customer and business needs into technical deliverables.
• Ability to work independently while handling multiple tasks and projects simultaneously.
• Willingness to work in a high-tech, continually evolving, innovative environment.
• Successful completion of Health Care Sanctions background check.

Nice To Haves

• Experience working within healthcare, insurance, or public sector environments preferred.
• Knowledge of Integrations with SAP, Oracle reporting, Salesforce, and ServiceNow preferred.
• Certifications in Azure AI Engineer Associate, Azure Solutions Architect, or Azure Data Scientist Associate preferred.
• Prior experience with AI application development frameworks and supporting technologies, including agent orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen, or similar), vector databases, embeddings, and MLOps/LLMOps platforms for deployment, monitoring, and optimization preferred.
• Prior experience integrating AI capabilities into enterprise automation platforms and workflows, such as UiPath or Microsoft Power Platform, preferred.

Responsibilities

• Gather and analyze customer and business requirements; design, implement, and integrate end-to-end AI-powered solutions with enterprise systems using REST and Graph APIs, SQL, files, and message queues to meet defined success criteria and SLAs.
• Evaluate, select, and implement appropriate AI platforms, foundation models, and services (e.g., Azure OpenAI, Cognitive Services, and other LLM and ML services) to deliver capabilities such as retrieval-augmented generation (RAG), document understanding, classification, extraction, and summarization while balancing accuracy, cost, latency, and compliance.
• Partner with stakeholders to manage the AI solution intake pipeline, evaluate ROI opportunities, and contribute to governance standards, reusable solution patterns, and operational runbooks.
• Design, configure, and optimize AI models, agents, and workflows by engineering prompts, system instructions, guardrails, grounding strategies, and multi-step agentic processes to deliver reliable and effective AI solutions.
• Adapt and fine-tune AI models for customer and domain-specific use cases through dataset curation, training, parameter tuning, and evaluation frameworks that measure accuracy, safety, bias, and performance while driving continuous improvement.
• Implement and manage AI solution delivery pipelines using CI/CD tools (Azure DevOps or GitHub Actions), including version control, package management, automated testing, and deployment of AI applications and models.
• Monitor and optimize production AI solutions by tracking performance metrics, managing exceptions, performing root cause analysis, reducing mean time to resolution (MTTR), and ensuring compliance with security, privacy, and protected health information (PHI) requirements.
• Serve as a technical lead for AI solution delivery from proof of concept through production deployment, support, and continuous iteration while mentoring engineers and promoting AI best practices through technical guidance, demonstrations, and knowledge sharing.
• Performs other job-related duties as required or assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior