... RAG), prompt engineering, model fine-tuning, evaluation, and AI platform technologies such as Azure OpenAI, Cognitive Services, and comparable LLM/ML platforms with MLOps/LLMOps practices.
... RAG), prompt engineering, model fine-tuning, evaluation, and AI platform technologies such as Azure OpenAI, Cognitive Services, and comparable LLM/ML platforms with MLOps/LLMOps practices.
Care Innovation - Senior Solution Architect 136-2001
Tulsa, OK · On-site
$140 - $190/hr
... RAG), prompt engineering, model fine-tuning, evaluation, and AI platform technologies such as Azure OpenAI, Cognitive Services, and comparable LLM/ML platforms with MLOps/LLMOps practices.
New
Care Innovation - Senior Solution Architect 136-2001
Tulsa, OK · On-site
$140 - $190/hr
... RAG), prompt engineering, model fine-tuning, evaluation, and AI platform technologies such as Azure OpenAI, Cognitive Services, and comparable LLM/ML platforms with MLOps/LLMOps practices.
New
Product Strategist and UX Researcher
Tulsa, OK · On-site
$64K - $85K/yr
... engineering investment. Develop and refine prompts and LLM interaction patterns for production AI features, evaluating output quality and iterating to improve accuracy, reliability, and user ...
Product Strategist and UX Researcher
Tulsa, OK · On-site
$64K - $85K/yr
... engineering investment. Develop and refine prompts and LLM interaction patterns for production AI features, evaluating output quality and iterating to improve accuracy, reliability, and user ...
Product Strategist and UX Researcher
Tulsa, OK · On-site
$64K - $85K/yr
... engineering investment. Develop and refine prompts and LLM interaction patterns for production AI features, evaluating output quality and iterating to improve accuracy, reliability, and user ...
Product Strategist and UX Researcher
Tulsa, OK · On-site
$64K - $85K/yr
... engineering investment. Develop and refine prompts and LLM interaction patterns for production AI features, evaluating output quality and iterating to improve accuracy, reliability, and user ...
AI Analyst
Tulsa, OK · On-site
... engineer). * Proficient in SQL and Python, including pandas, notebook environments, and current business intelligence tools. * Hands-on experience applying LLM-based tools to analytical work beyond ...
AI Analyst
Tulsa, OK · On-site
... engineer). * Proficient in SQL and Python, including pandas, notebook environments, and current business intelligence tools. * Hands-on experience applying LLM-based tools to analytical work beyond ...
AI Analyst
Tulsa, OK · On-site
... engineer). * Proficient in SQL and Python, including pandas, notebook environments, and current business intelligence tools. * Hands-on experience applying LLM-based tools to analytical work beyond ...
AI Analyst
Tulsa, OK · On-site
... engineer). * Proficient in SQL and Python, including pandas, notebook environments, and current business intelligence tools. * Hands-on experience applying LLM-based tools to analytical work beyond ...
AI Analyst
Tulsa, OK · On-site
$92 - $138/hr
... engineer).* Proficient in SQL and Python, including pandas, notebook environments, and current business intelligence tools.* Hands-on experience applying LLM-based tools to analytical work beyond ...
AI Analyst
Tulsa, OK · On-site
$92 - $138/hr
... engineer).* Proficient in SQL and Python, including pandas, notebook environments, and current business intelligence tools.* Hands-on experience applying LLM-based tools to analytical work beyond ...
... as an LLM (masters of law) or graduated with a distinguished record from an ABA-Accredited Law ... Army Corps of Engineers, this requirement does not apply to you). Time in Grade Requirements: If ...
... as an LLM (masters of law) or graduated with a distinguished record from an ABA-Accredited Law ... Army Corps of Engineers, this requirement does not apply to you). Time in Grade Requirements: If ...
Attorney-Adviser (Real Property)
Tulsa, OK · On-site
$106K/yr
... as an LLM (masters of law) or graduated with a distinguished record from an ABA-Accredited Law ... Army Corps of Engineers, this requirement does not apply to you). Time in Grade Requirements: If ...
Attorney-Adviser (Real Property)
Tulsa, OK · On-site
$106K/yr
... as an LLM (masters of law) or graduated with a distinguished record from an ABA-Accredited Law ... Army Corps of Engineers, this requirement does not apply to you). Time in Grade Requirements: If ...
... as an LLM (masters of law) or graduated with a distinguished record from an ABA-Accredited Law ... Army Corps of Engineers, this requirement does not apply to you). Time in Grade Requirements: If ...
... as an LLM (masters of law) or graduated with a distinguished record from an ABA-Accredited Law ... Army Corps of Engineers, this requirement does not apply to you). Time in Grade Requirements: If ...
Llm Developer information
See Tulsa, OK salary details
$23.27 - $27.76
2% of jobs
$27.76 - $32.26
8% of jobs
$35.75 is the 25th percentile. Wages below this are outliers.
$32.26 - $36.75
20% of jobs
The median wage is $40.81 / hr.
$36.75 - $41.24
23% of jobs
$41.24 - $45.73
15% of jobs
$45.73 - $50.22
7% of jobs
$51.34 is the 75th percentile. Wages above this are outliers.
$50.22 - $54.71
4% of jobs
$54.71 - $59.20
5% of jobs
$59.20 - $63.69
5% of jobs
$63.69 - $68.18
5% of jobs
$68.18 - $72.68
5% of jobs
$23
$45
$72
How much do llm developer jobs pay per hour?
As of Aug 21, 2026, the average hourly pay for llm developer in Tulsa, OK is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.01 and $55.53 per hour, depending on experience, location, and employer.
What does an LLM Developer do?
An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.
What are the key skills and qualifications needed to thrive as an LLM Developer?
To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.
What is the role of a large language model developer?
A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.
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Full-time
Posted 28 days ago
Job description
JOB SUMMARY:
The Senior Solution Architect is responsible for owning the enterprise AI architecture and providing technical leadership across AI initiatives by defining target architectures, standards, solution patterns, governance practices, and integration strategies. This role ensures AI solutions are scalable, secure, compliant, and cost-effective within a HIPAA-regulated healthcare environment while providing technical direction and mentorship to Senior Solution Engineers and engineering teams.
KEY RESPONSIBILITIES:
QUALIFICATIONS:
EDUCATION/EXPERIENCE:
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
The Senior Solution Architect is responsible for owning the enterprise AI architecture and providing technical leadership across AI initiatives by defining target architectures, standards, solution patterns, governance practices, and integration strategies. This role ensures AI solutions are scalable, secure, compliant, and cost-effective within a HIPAA-regulated healthcare environment while providing technical direction and mentorship to Senior Solution Engineers and engineering teams.
KEY RESPONSIBILITIES:
- Define and maintain enterprise AI architecture standards, reference architectures, patterns, and blueprints while designing scalable, resilient, and secure AI solutions that meet functional, performance, cost, and compliance requirements across models, agents, data, applications, and infrastructure.
- Establish architectural standards for retrieval-augmented generation (RAG), agentic systems, data grounding, and human-in-the-loop patterns.
- Review and approve solution designs to ensure alignment to enterprise architecture and long-term technical strategy.
- Lead the evaluation, selection, and adoption of AI products, platforms, foundation models, and services by balancing technical capabilities, accuracy, performance, cost, security, and compliance requirements.
- Define selection criteria, conduct proofs of concept, and provide build-vs-buy and vendor recommendations to leadership.
- Define enterprise AI guidance, principles, and usage standards, including responsible and ethical AI, safety, privacy, and acceptable-use policies.
- Partner with the Data Governance Board and security teams to align AI practices with governance goals, HIPAA, and regulatory requirements.
- Establish guardrails, evaluation criteria, and risk controls for AI accuracy, bias, safety, and data protection (PHI).
- Define the secure SDLC and engineering standards for AI/ML solutions, including MLOps/LLMOps practices, CI/CD, versioning, and testing.
- Define enterprise integration architecture standards for APIs, data flows, event messaging, and core system integrations to enable scalable, secure, and reliable solutions.
- Define operational standards for AI systems including monitoring, observability, model performance and drift management, incident response, cost management, and continuous improvement.
- Provide technical leadership and mentorship to Senior Solution Engineers and engineering teams by setting technical direction, promoting best practices, and enabling effective delivery through coaching, collaboration, and knowledge sharing.
- Performs other job-related duties as required or assigned.
QUALIFICATIONS:
- Strong understanding of enterprise solution architecture, including AI integration patterns, APIs, data architecture, security, and scalable cloud design within Microsoft Azure or comparable cloud environments.
- Strong understanding of secure SDLC, CI/CD (Azure DevOps or GitHub Actions), secrets management, and operational best practices.
- Strong knowledge of HIPAA and applying security, privacy, and compliance requirements to enterprise systems handling PHI.
- Strong programming/technical foundation (e.g., Python and/or C#/.NET) sufficient to lead and review engineering work.
- Excellent communication, leadership, and stakeholder engagement skills, with the ability to translate strategy and complex technical concepts for technical and non-technical audiences.
- Ability to work independently while leading multiple initiatives and projects simultaneously.
- Willingness to work in a high-tech, continually evolving, innovative environment.
- Successful completion of Health Care Sanctions background check.
EDUCATION/EXPERIENCE:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience; advanced degree preferred.
- A minimum of eight years in 8+ years of progressive experience in solution architecture, enterprise architecture, software, data, or engineering roles, including architecting enterprise-scale systems and delivering AI/ML or generative AI solutions in production environments.
- Prior experience designing, configuring, and optimizing AI systems, including large language models (LLMs), generative AI, AI agents, retrieval-augmented generation (RAG), prompt engineering, model fine-tuning, evaluation, and AI platform technologies such as Azure OpenAI, Cognitive Services, and comparable LLM/ML platforms with MLOps/LLMOps practices.
- Experience working within healthcare, insurance, or public sector environments preferred.
- Experience defining responsible AI / AI governance frameworks in a regulated environment preferred.
- Experience with agent frameworks and orchestration (e.g., LangChain, Semantic Kernel, Autogen), vector databases, and embeddings preferred.
- Experience with enterprise integration platforms, RPA (UiPath), and Microsoft Power Platform preferred.
- Certifications in Azure Solutions Architect Expert, Azure AI Engineer Associate, or TOGAF 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