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Nlp Jobs in Raleigh, NC (NOW HIRING)

AI Architect

Raleigh, NC · On-site

$64.50 - $77.75/hr

Understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Experience in programming languages like Python and familiarity with deep learning ...

Familiarity with AI concepts like generative, natural language processing (NLP) and machine learning. * Understanding of data security and privacy best practices. * Soft Skills: * Exceptional problem ...

Familiarity with AI concepts like generative, natural language processing (NLP) and machine learning. * Understanding of data security and privacy best practices. * Soft Skills: * Exceptional problem ...

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

... NLP, LLM fine tuning, and embedding models. Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of ...

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

Showing results 41-60

Nlp information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do nlp jobs pay per year?

As of Sep 2, 2026, the average yearly pay for nlp in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is an NLP?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What does an NLP specialist do?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

What are the key skills and qualifications needed to thrive in the NLP position, and why are they important?

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

Is natural language processing a good career?

Natural language processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.

What qualifications do I need for natural language processing?

To work in natural language processing (NLP), candidates typically need a bachelor's degree in computer science, linguistics, or a related field, with many roles requiring a master's or Ph.D. in a relevant area. Strong programming skills in languages like Python, experience with NLP libraries such as NLTK or spaCy, and knowledge of machine learning concepts are essential. Familiarity with data preprocessing, statistical analysis, and tools like TensorFlow or PyTorch also enhances job prospects.

What are the most commonly searched types of Nlp jobs in Raleigh, NC?

The most popular types of Nlp jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Nlp jobs?

Cities near Raleigh, NC with the most Nlp job openings:

Infographic showing various Nlp job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $119,181 per year, or $57.3 per hour.

$64.50 - $77.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job details
Job Role
Architecture Consultant 3
Career Role
Senior Technology Architect - US
Work Location
Raleigh, NC
State / Region / Province
North Carolina
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
151398BR
Technical Skills 1
Technology|data science|PYTHON
Technical Skills 2
Technology|Agentic AI|Agent Engineering
Technical Skills 3
Foundational|Development Methodology|Model driven development
Technical Skills 4
Technology|AI Engineering|LLMOps
Technical Skills 5
Technology|Cloud Platform|Cloud Platform - ALL
Overview
The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges.The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI.Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands-on leadership, while mentoring teams and influencing best practices across programs.The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys' global delivery ecosystem.
In the assigned Job Role of Architecture Consultant 3, your Area Of Responsibility will be as below:
• Create business requirement documents covering functional and non-functional requirements, basis information gathered as part of workshops and interviews with client stakeholders
• Review, propose, and develop solution architecture, ensuring application design aligns with the proposed framework and which are scalable, reliable and maintainable
• Assess and recommend suitable technologies, tools and platforms for implementation as a part of architectural design, to meet business requirements
• Review technical solutions and develop strategies for integration with different technologies and systems, to ensure seamless communication and data flow
• Resolve complex technical challenges during build, deployment, and support phases while promoting reusable frameworks and artifacts
• Provide specialized insights to development team and build collaborative relationships with clients and internal teams, securing successful execution of projects
• Identify potential risks in the system landscape, monitor system performance and suggest optimization initiatives in line with business requirements and long-term objectives
• Establish and uphold comprehensive knowledge base to guarantee that vital information is systematically recorded and readily available
• Contribute to proposals and RFPs by delivering insights related to architectural solutions, for successfully delivering the proposed solutions
Your contribution to the team:
• Expertise in designing and reviewing solution architectures that align with business goals.
• The ability to provide architectural insights to strengthen solution proposals and ensure successful delivery.
• A strategic mindset to align technical solutions with business goals and market trends.
• Proactively drive initiatives to ensure smooth execution and transition of projects.
• The ability to engage with clients and internal teams to build strong and productive relationships.
• Passion for mentoring and fostering a knowledge-sharing culture.
Required Skill and Experience
Core development & architecture experience
Analysis and Design skills with experience in core development, design & architect experience, implement design patterns, architecture patterns
Experience in developing and applying generative AI models.
Understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP)
Experience in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company).
Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals.
Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment.
Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly.
Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.
Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability
Experience in Open-Source frameworks and tools
Ability to write good quality and highly performant code
Evaluate and review performance aspects of new and existing code.
Perform code reviews to ensure that quality is being maintained.
Perform POCs for any new technologies that we may leverage.
Experience in working in a fast-paced and agile environment
Effective collaboration and communication skills
Preferred Skill and Experience
Master's degree in computer science, Artificial Intelligence, or a related field (or equivalent experience).
Experience in cloud-based platforms like OpenShift, AWS, GCP, Azure
Experience in Fine tuning Open-Source AI Models
Strong understanding of one or more Domain expertise and associated Industry standards
Industry-acclaimed External Certifications, if applicable
Active participation in Technology forums
Contribution to Open-Source Community
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.