Care Innovation - Senior Solution Engineer 135-2034

CommunityCare HMO Inc.; Tulsa (OK); On-site; USD 120,000 - 150,000; Full time

Job summary

CommunityCare HMO Inc. is seeking a Senior Solution Engineer to design, configure, and implement customer-facing AI solutions within a HIPAA-regulated healthcare environment.

You will translate business needs into secure, scalable systems, selecting AI models and workflows, fine-tuning models, and integrating capabilities into enterprise applications. You will lead the end-to-end delivery, ensuring performance, SLA attainment, ROI, and governance while mentoring engineers and collaborating with

Qualifications

• Hands-on experience with AI/ML or generative AI in production.
• Strong programming and API integration skills.
• Experience with Azure services and CI/CD automation.
• Ability to work independently on multiple tasks.
• Healthcare, insurance, or public sector experience 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 AI platforms and services (Azure OpenAI, Cognitive Services) for 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 and runbooks.
• Design, configure, and optimize AI models, agents, and workflows by engineering prompts, guardrails, grounding strategies, and multi-step agentic processes.
• Adapt and fine-tune AI models for customer and domain-specific use cases through dataset curation, training, and evaluation frameworks.
• Implement and manage AI delivery pipelines using CI/CD tools (Azure DevOps or GitHub Actions) with version control and testing.
• Monitor production AI solutions, track performance, handle exceptions, perform root cause analysis, and ensure PHI/privacy compliance.
• Serve as a technical lead for AI solution delivery from PoC to production, mentoring engineers and promoting best practices.
• Performs other job-related duties as required or assigned.

Skills

Python

C#/.NET

REST APIs

CI/CD

Azure DevOps

Git workflows

Security & secrets mgmt

Communication

Education

Bachelor's degree in CS/IS/Engineering

5+ years software/solution engineering experience

AI/ML in production

Tools

Azure Functions

Azure Storage

Azure Key Vault

Azure App Service

LangChain

Semantic Kernel

AutoGen

UiPath

Power Platform

Job description

Job Summary

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.

Job Summary

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.

Key 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.

Qualifications

• 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.
• Experience working within healthcare, insurance, or public sector environments preferred.
• Knowledge of Integrations with SAP, Oracle reporting, Salesforce, and ServiceNow preferred.
• Successful completion of Health Care Sanctions background check.

Education/Experience

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• A minimum of five years of progressive experience delivering software, data, or solution engineering initiatives, including hands-on implementation of AI/ML or generative AI solutions in production environments.
• Prior demonstrated experience configuring, fine-tuning, and deploying AI models and agents.
• Prior experience designing, configuring, and optimizing AI solutions using LLMs, generative AI, AI agents, prompt engineering, RAG, grounding strategies, and agent/tool orchestration.
• Prior experience adapting and evaluating AI models through customization, fine-tuning, dataset curation, and performance testing using enterprise AI platforms such as Azure OpenAI, Cognitive Services, or comparable LLM/ML frameworks.
• 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.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin