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Language Model Jobs in Denton, TX (NOW HIRING)

Synechron

Principal AI Engineer

Dallas, TX · On-site

$140K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies. * Design and deploy LLM-based applications using ...

Synechron

Principal AI Engineer

Dallas, TX

$140K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies. * Design and deploy LLM-based applications using ...

Vizient

AI & Decision Intelligence Director

Irving, TX · On-site

$135K - $236K/yr

Build agentic AI and large language model (LLM)-powered applications and workflows that enhance productivity and insight generation. * Apply advanced analytics techniques to uncover opportunities and ...

Judge Group, Inc.

Software Engineer - Advanced

Plano, TX · On-site

$90 - $95/hr

About the Role We are seeking a Senior AI/ML Full Stack Engineer to design and deliver production-grade intelligent applications powered by modern AI/ML and large language model (LLM) technologies.

PB consulting

Generative AI Engineer

Grapevine, TX · On-site

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Addison, TX

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Highland Park, TX · On-site

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

New

PB consulting

Generative AI Engineer

Dallas, TX · On-site

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

New

PB consulting

Generative AI Engineer

Hurst, TX · On-site

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Coppell, TX · On-site

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Lewisville, TX · On-site

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

PB consulting

Generative AI Engineer

Carrollton, TX

The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and ...

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Showing results 21-40

All JobsLanguage Model JobsLanguage Model Jobs in Denton, TX

Language Model information

See Denton, TX salary details

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How much do language model jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for language model in Denton, TX is $29.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $36.73 per hour, depending on experience, location, and employer.

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What cities near Denton, TX are hiring for Language Model jobs?

Cities near Denton, TX with the most Language Model job openings:

Language Model jobs near you

Principal AI Engineer

Synechron

Dallas, TX • On-site

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

We are
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,700+, and has 57 offices in 22 countries within key global markets.
Our challenge
We are seeking a highly experienced Lead / Principal AI Engineer to lead the design, development, and deployment of advanced AI and large language model (LLM)-powered solutions within a regulated enterprise environment. This role will be responsible for architecting and delivering scalable, secure, and production-ready AI systems that align with enterprise technology standards, governance frameworks, and compliance requirements.
Additional Information*
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Dallas, TX is $140k - $150k/year & benefits (see below).
The Role
Responsibilities:
  • Lead the architecture, design, and implementation of enterprise-grade AI solutions leveraging large language models and related AI technologies.
  • Design and deploy LLM-based applications using platforms such as Amazon Bedrock, Azure OpenAI, and direct model/API integrations.
  • Build scalable orchestration layers for prompt execution, model routing, completion handling, response optimization, and service resiliency.
  • Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases.
  • Architect and develop AI-powered document ingestion, conversion, parsing, extraction, and analysis pipelines.
  • Transform large volumes of complex, unstructured enterprise and financial documents into structured data suitable for downstream AI reasoning and business process automation.
  • Design and optimize data pipelines and ETL processes that enable efficient ingestion, enrichment, indexing, and retrieval of enterprise content.
  • Design and develop backend services using Python, Node.js, Java, and modern enterprise integration patterns.
  • Build and maintain RESTful APIs, microservices, and distributed application components supporting AI-enabled products and services.
  • Partner with user experience and frontend engineering teams to support AI-enabled interfaces built with technologies such as React, Angular, TypeScript, JavaScript, HTML5, and CSS3.
  • Design and implement data solutions utilizing technologies such as MongoDB, Azure Data Services, and Azure AI Search.
  • Enable intelligent document indexing, metadata extraction, semantic retrieval, and enterprise-wide search capabilities.
  • Establish observability and monitoring frameworks for AI systems, including pipeline health, model performance, latency, usage, quality, and cost metrics.
  • Ensure AI platforms and services comply with enterprise requirements related to security, privacy, governance, risk, and regulatory oversight.
  • Build systems with strong support for auditability, traceability, explainability, and operational transparency, particularly in regulated environments.

Requirements:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline; advanced degree preferred.
  • Extensive experience designing, developing, and deploying production-grade AI/ML or LLM-based systems in enterprise environments.
  • Demonstrated hands-on expertise with Amazon Bedrock, Azure OpenAI, and/or direct integration with LLM APIs and model services.
  • Strong experience designing retrieval-augmented generation (RAG) architectures, prompt engineering workflows, and LLM service orchestration layers.
  • Proven experience in AI pipeline engineering, including document ingestion, transformation, structured extraction, and downstream AI consumption.
  • Strong programming expertise in Python, with additional experience in Node.js and/or Java.
  • Experience building and integrating REST APIs, microservices, and cloud-native services.
  • Strong knowledge of ETL processes, data engineering concepts, database design, and enterprise integration patterns.
  • Hands-on experience with MongoDB, Azure Data Services, and Azure AI Search.
  • Familiarity with modern frontend technologies including React, Angular, TypeScript, JavaScript, HTML5, and CSS3.
  • Strong understanding of scalability, security, performance optimization, and enterprise software design principles.
  • Experience developing solutions in regulated environments, preferably within financial services, banking, lending, or compliance-driven organizations.

Preferred, but not required:
  • Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience delivering AI solutions for financial services compliance, risk management, lending operations, or governance functions.
  • Familiarity with enterprise frameworks for AI risk management, model governance, and responsible AI practices.
  • Experience implementing observability and evaluation frameworks for LLM applications in production.
  • Knowledge of secure cloud deployment models across Azure and/or AWS enterprise ecosystems.
  • Demonstrated success leading complex technical initiatives and influencing architecture decisions across multiple teams.

We offer:
  • A highly competitive compensation and benefits package.
  • A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
  • 10 days of paid annual leave (plus sick leave and national holidays).
  • Maternity & paternity leave plans.
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
  • Retirement savings plans.
  • A higher education certification policy.
  • Commuter benefits (varies by region).
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
  • A flat and approachable organization.
  • A truly diverse, fun-loving, and global work culture.

SYNECHRON'S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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