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Senior Prompt Engineering Jobs in Tennessee (NOW HIRING)

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

... GenAI engineering, including secure prompt handling, evaluation frameworks, monitoring, logging, and responsible AI principles. • Mentor and guide senior and junior engineers, cultivating deep ...

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Establish and enforce best practices for GenAI engineering , including secure prompt handling, evaluation frameworks, monitoring, logging, and responsible AI principles. * Mentor and guide senior and ...

AI Lead Engineer

Nashville, TN

$99K - $130K/yr

Establish and enforce best practices for GenAI engineering , including secure prompt handling, evaluation frameworks, monitoring, logging, and responsible AI principles. * Mentor and guide senior and ...

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Establish and enforce best practices for GenAI engineering , including secure prompt handling, evaluation frameworks, monitoring, logging, and responsible AI principles. * Mentor and guide senior and ...

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

AllianceBernstein is a leading global investment management firm seeking a Senior AI Solutions ... prompt engineering, orchestration, and AI behavior tuning. • Strong experience designing and ...

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Pilot's Senior AI Engineer will drive technical decisions, own complex projects, demonstrate deep ... Drive prompt engineering strategies and multi-modal AI applications * Lead integration of LLM APIs ...

Working alongside senior AI leadership, this individual will help build, integrate, and deploy ... Experience working with Large Language Models (LLMs), prompt engineering, and AI APIs. * Experience ...

Senior Analyst, Commercial Card

Nashville, TN · Hybrid

$82K - $102K/yr

What We Need Corpay is currently looking to hire a Senior Analyst within our Commercial Card team ... Familiarity with workflow automation, prompt engineering, or LLM-based tooling * SQL, Python, or ...

Senior Analyst, Commercial Card

Nashville, TN · Hybrid

$82K - $102K/yr

What We Need Corpay is currently looking to hire a Senior Analyst within our Commercial Card team ... Familiarity with workflow automation, prompt engineering, or LLM-based tooling * SQL, Python, or ...

Senior AI Solutions Engineer

Nashville, TN

$53.25 - $68.75/hr

Strong understanding of prompt engineering, orchestration, and AI behavior tuning. APIs & Integration * Strong experience designing and consuming REST APIs. * Ability to integrate AI tools with data ...

AI Solutions Engineering Delivery Lead

Nashville, TN · On-site

$99K - $130K/yr

As a senior technical leader, you will leverage deep technical specialization, strategic vision ... and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or ...

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Senior Prompt Engineering information

Are senior prompt engineers still in demand?

Senior prompt engineers are increasingly in demand as organizations adopt AI and natural language processing technologies. Their expertise in designing effective prompts and working with large language models is valuable across industries, and demand is expected to grow with advancements in AI tools and applications.

What are the key skills and qualifications needed to thrive as a senior prompt engineer, and why are they important?

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by senior prompt engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

What is a senior prompt engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.
What are the most commonly searched types of Prompt Engineering jobs in Tennessee? The most popular types of Prompt Engineering jobs in Tennessee are:
What are popular job titles related to Senior Prompt Engineering jobs in Tennessee? For Senior Prompt Engineering jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Senior Prompt Engineering jobs? Cities in Tennessee with the most Senior Prompt Engineering job openings:

Sr. UiPath Developer / AI

Ruri Software Technologies LLC

Nashville, TN • On-site

$92K - $127K/yr

Full-time

Posted 17 days ago


Job description

Title: UiPath Developer - AI/System Programmer 4
Nashville, TN - Onsite/Hybrid
Only Locals required - Tennessee locals only
W2 position / C2C will not considered
The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across state government agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath's automation platform.
Key Duties and Responsibilities
Design, develop, test, and implement UiPath automation solutions for state government
business processes.
Build and maintain automations including attended, unattended, and scheduled bots for
repetitive, rules-based workflows.
Analyze business requirements and translate them into scalable automation solutions using
UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies.
Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation.
Create reusable automation components, libraries, & templates to support enterprise
automation initiatives.
Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services.
Implement secure automation practices aligned with state cybersecurity, privacy, and
compliance standards.
Perform testing, debugging, troubleshooting, and ongoing maintenance of automation
solutions.
Monitor bot performance, resolve production issues, and optimize automation reliability and
efficiency.
Develop technical documentation and workflow diagrams.
Support citizen service modernization initiatives through intelligent automation technologies.
Agentic AI Responsibilities
Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities.
Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls.
Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows.
Build human-in-the-loop workflows that combine AI agents with employee oversight and
approval processes.
Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications.
Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration
techniques within UiPath ecosystems.
Ensure responsible AI practices including transparency, auditability, bias mitigation, security,
and compliance with government policies.
Evaluate emerging AI and automation technologies to improve state operational efficiency and service delivery.
Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies.
Preferred Technical Skills
UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding
REFramework and enterprise RPA design patterns
API integrations, REST/SOAP services, SQL databases
OCR technologies and intelligent document processing
Generative AI, LLM integration, prompt engineering, and AI orchestration
Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript
Cloud platforms and enterprise authentication/security concepts
Agile/Scrum development methodologies