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Care Innovation - Senior Solution Engineer 135-2034

CommunityCare

Tulsa, Oklahoma • Today

Full-time

Senior Manager - Solution Engineering

CVS Health

Remote or Illinois • Today

Full-time

USD 130,295.00 - 260,590.00 per year

Senior Solution Engineer, HCLS

Snowflake Inc.

Remote or Chicago, Illinois • Today

Full-time

USD 165,000.00 - 216,562.00 per year

Senior Solution Engineer, HCLS

Snowflake Inc.

Remote or Indiana • Today

Full-time

USD 165,000.00 - 216,562.00 per year

Senior Solutions Engineer, Enterprise (Central Region)

Motive

Remote • Today

Full-time

USD 160,000.00 - 200,000.00 per year

Senior Solution Engineer, Media & Entertainment

Snowflake Inc.

Remote or California • Today

Full-time

USD 165,000.00 - 216,562.00 per year

Senior Solution Engineer, Telecommunications

Snowflake Inc.

Remote or Denver, Colorado • Today

Full-time

USD 165,000.00 - 216,562.00 per year

Sr. Software Engineer - AI Innovation Team

Boeing Employees Credit Union

Remote or Washington • Today

Full-time

USD 141,800.00 - 173,300.00 per year

Senior Director, Solutions Engineering | Americas | Remote

Grafana Labs

Remote • Today

Full-time

USD 337,000.00 - 425,000.00 per year

Senior Solutions Engineer

Clockwork.io

Remote or New York, New York • Today

Full-time

USD 170,000.00 - 250,000.00 per year

Senior Solutions Engineer | West Coast | Remote

Grafana Labs

Remote • Today

Full-time

USD 204,000.00 - 254,000.00 per year

Senior Solutions Engineer | East Coast | Remote

Grafana Labs

Remote • Today

Full-time

USD 204,000.00 - 254,000.00 per year

Sr. Solutions Engineer- Institutions

Addepar

Remote or New York, New York • Today

Full-time

USD 146,000.00 - 182,000.00 per year

Senior Engineer, Innovation

FFF Enterprises

Remote or Temecula, California • Today

Full-time

USD 160,000.00 per year

Senior Solution Engineer

Snowflake Inc.

Remote or Texas • Today

Full-time

USD 165,000.00 - 216,562.00 per year

Sr. ServiceNow Solutions Architect

Milestone Technologies, Inc.

Remote • Today

Full-time

Senior ServiceNow Engineer

Inovalon

Remote • Today

Full-time

USD 105,000.00 - 130,000.00 per year

Senior Solution Architect (Remote - USA)

MHP - A Porsche Company

Remote or Atlanta, Georgia • 22d ago

Full-time

USD 135,000.00 - 155,000.00 per year

Solutions Integration Engineer IV

Samsara

Remote • Today

Full-time

USD 105,910.00 - 160,200.00 per year

Senior AEM Co-Innovation Engineer

Adobe Systems

Remote or Illinois • Today

Full-time

USD 159,200.00 per year

Data Center Infrastructure Validation - Innovation Lead

EPRI

Remote or Washington, District of Columbia • Today

Full-time

USD 185,000.00 - 200,000.00 per year

Senior IT Manager - AI Innovation & Engineering

Ferguson Enterprises, LLC

Remote or Springfield, Virginia • Today

Full-time

USD 9,458.97 - 16,551.03 per month

Solutions Engineer III

Sinch

Remote or Missouri • Today

Full-time

USD 92,000.00 - 138,000.00 per year

Solutions Engineer III

Sinch

Remote or St. Louis, Missouri • 16d ago

Full-time

USD 92,000.00 - 138,000.00 per year

Senior Solutions Engineer - West

Webflow

Remote • Today

Full-time

USD 178,000.00 - 210,000.00 per year

Senior Data Scientist, Innovation Lab - Remote

Experian

Remote or San Diego, California • Today

Full-time

USD 153,075.00 - 275,535.00 per year

Senior Solutions Engineer

Snyk

Remote or Boston, Massachusetts • Today

Full-time

USD 137,200.00 - 171,500.00 per year

Senior Software Engineer, Care Experience

Toast

Remote • Today

Full-time

Senior Solutions Architect (Embedded, IoT & Connected Devices)

Innominds Software

Remote • 11d ago

Easy Apply

Full-time

Depends on Experience

Care Innovation - Automation Engineer 136-2000

CommunityCare

Tulsa, Oklahoma • Today

Full-time

Job Details

Skills

Innovation
Customer Facing
Business Process
Service Level
HIPAA
Message Queues
Extraction
Return On Investment
Use Cases
Training
Evaluation
Continuous Improvement
GitHub
Version Control
Automated Testing
Performance Metrics
Root Cause Analysis
MEAN Stack
Regulatory Compliance
Privacy
IT Management
Mentorship
Demonstrations
Knowledge Sharing
Python
C#
.NET
API
Testing
Storage
DevOps
JSON
XML
SQL
Git
Continuous Integration
Continuous Delivery
Software Development Methodology
Management
Attention To Detail
Communication
Health Insurance
Public Sector
SAP
Oracle
Reporting
Salesforce.com
ServiceNow
Health Care
Computer Science
Information Systems
Generative Artificial Intelligence (AI)
Prompt Engineering
Customization
Performance Testing
Machine Learning (ML)
Microsoft Azure
Application Development
Orchestration
LangChain
Semantics
Autogen
Vector Databases
Machine Learning Operations (ML Ops)
Optimization
Artificial Intelligence
Workflow
Microsoft

Innovation
Customer Facing
Business Process
Service Level
HIPAA
Message Queues
Extraction
Return On Investment
Use Cases
Training
Evaluation
Continuous Improvement
GitHub
Version Control
Automated Testing
Performance Metrics
Root Cause Analysis
MEAN Stack
Regulatory Compliance
Privacy
IT Management
Mentorship
Demonstrations
Knowledge Sharing
Python
C#
.NET
API
Testing
Storage
DevOps
JSON
XML
SQL
Git
Continuous Integration
Continuous Delivery
Software Development Methodology
Management
Attention To Detail
Communication
Health Insurance
Public Sector
SAP
Oracle
Reporting
Salesforce.com
ServiceNow
Health Care
Computer Science
Information Systems
Generative Artificial Intelligence (AI)
Prompt Engineering
Customization
Performance Testing
Machine Learning (ML)
Microsoft Azure
Application Development
Orchestration
LangChain
Semantics
Autogen
Vector Databases
Machine Learning Operations (ML Ops)
Optimization
Artificial Intelligence
Workflow
Microsoft

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80184480
Position Id: 95fa46275d206284f64394d1298dc9ec
Posted 11 days ago

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Job Details

Skills

Innovation
Customer Facing
Business Process
Service Level
HIPAA
Message Queues
Extraction
Return On Investment
Use Cases
Training
Evaluation
Continuous Improvement
GitHub
Version Control
Automated Testing
Performance Metrics
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Testing
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Continuous Integration
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Management
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Communication
Health Insurance
Public Sector
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ServiceNow
Health Care
Computer Science
Information Systems
Generative Artificial Intelligence (AI)
Prompt Engineering
Customization
Performance Testing
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Application Development
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Innovation
Customer Facing
Business Process
Service Level
HIPAA
Message Queues
Extraction
Return On Investment
Use Cases
Training
Evaluation
Continuous Improvement
GitHub
Version Control
Automated Testing
Performance Metrics
Root Cause Analysis
MEAN Stack
Regulatory Compliance
Privacy
IT Management
Mentorship
Demonstrations
Knowledge Sharing
Python
C#
.NET
API
Testing
Storage
DevOps
JSON
XML
SQL
Git
Continuous Integration
Continuous Delivery
Software Development Methodology
Management
Attention To Detail
Communication
Health Insurance
Public Sector
SAP
Oracle
Reporting
Salesforce.com
ServiceNow
Health Care
Computer Science
Information Systems
Generative Artificial Intelligence (AI)
Prompt Engineering
Customization
Performance Testing
Machine Learning (ML)
Microsoft Azure
Application Development
Orchestration
LangChain
Semantics
Autogen
Vector Databases
Machine Learning Operations (ML Ops)
Optimization
Artificial Intelligence
Workflow
Microsoft

Summary

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.
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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.
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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.

Dice Id: 80184480
Position Id: 95fa46275d206284f64394d1298dc9ec
Posted 11 days ago

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Create job alert

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