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Manager Prompt Engineering Jobs in Tennessee (NOW HIRING)

ERP AI Engineer - Manager

Nashville, TN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Oracle Management Level Manager & Summary At PwC, our ... and prompt engineering - Building scalable, cloud-native microservices and containerized ...

AI Engineer II

Memphis, TN

$87K - $119K/yr

Skills in working with LLMs, prompt engineering, fine-tuning, and using frameworks like LangChain ... Strong knowledge of both SQL and NoSQL databases for querying and managing data for AI applications.

... of prompt engineering, embeddings, and semantic search • Experience with vector databases ... talent management solutions for clients. Ztek's diversity-focused hiring models have proven ...

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Manager Prompt Engineering information

What is a Manager of Prompt Engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.

What are the key skills and qualifications needed to thrive as a Manager of Prompt Engineering, and why are they important?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a Manager of Prompt Engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.
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 cities in Tennessee are hiring for Manager Prompt Engineering jobs? Cities in Tennessee with the most Manager Prompt Engineering job openings:
Infographic showing various Manager Prompt Engineering job openings in Tennessee as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior AI Solutions Engineer

Senior AI Solutions Engineer

AllianceBernstein

Nashville, TN

$53.25 - $68.75/hr

Full-time

Re-posted 5 hours ago


Job description

Who You'll Work With:

The Investment Technology team is seeking a Nashville, TN based AI Solutions Engineer to build and deliver AIpowered tools that integrate directly with enterprise data and APIs. You will work handson with the latest GenAI technologies, partner closely with business users, and deliver practical AI solutions embedded into real investment workflows. This role is ideal for someone who enjoys building, experimenting, and productionizing modern AI tools in a highly analytical, businessdriven environment.

You will be a handson AI Solutions Engineer responsible for designing, building, and deploying AIpowered tools that integrate with enterprise data platforms and APIs. The role combines deep technical implementation skills with strong business partnership, working directly with investment, risk, and analytics users to deliver AI solutions embedded into real workflows.

This is not a research or advisory role-you will build, integrate, and deliver productionready AI tools using modern GenAI, LLM, and APIbased architectures.

What You'll Do:

Build AI Tools Integrated with Data & APIs
  • Design and implement AIpowered applications that integrate with enterprise data platforms, APIs, and services.

  • Build copilots, assistants, and AI workflows that query, interpret, and act on structured and unstructured data.

  • Integrate AI tools with internal systems, vendor APIs, and curated data layers.

HandsOn GenAI & LLM Development
  • Implement solutions using large language models (LLMs) and modern GenAI frameworks.

  • Build RetrievalAugmented Generation (RAG) patterns using enterprise data sources.

  • Design prompt strategies, orchestration logic, and guardrails for reliable AI behavior.

  • Develop agentstyle workflows that combine reasoning, tool usage, and data access.

Business Liaison & Solution Design
  • Partner directly with business users to understand problems, workflows, and opportunities for AI enablement.

  • Translate business requirements into technical AI solution designs.

  • Rapidly prototype, iterate, and productionize AI tools based on user feedback.
API & Integration Architecture
  • Design and consume RESTbased APIs to connect AI tools with data, services, and downstream systems.

  • Build middleware or service layers that enable secure, scalable AI access to enterprise data.

  • Ensure AI tools are modular, reusable, and extensible.

AI Governance, Security & Responsible Use
  • Ensure AI solutions comply with enterprise security, privacy, and data governance standards.

  • Implement controls around data access, prompt safety, and output validation.

  • Partner with architecture and risk teams to operationalize AI responsibly.

Stay Current with AI Technology
  • Continuously evaluate and apply the latest AI tools, frameworks, and platform capabilities.

  • Bring forward best practices and emerging patterns in GenAI, copilots, and AIdriven applications.

  • Help shape enterprise standards for AI solution development.

What We're Looking For:

AI & GenAI Engineering (Core)
  • Handson experience building AI applications using LLMs (OpenAI, Azure OpenAI, or equivalent).

  • Experience implementing RAG architectures and AI workflows using enterprise data.

  • 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 platforms, internal services, and thirdparty systems.

  • Experience building lightweight service layers or backend components for AI applications.

Programming & Tooling
  • Proficiency in Python and/or TypeScript/JavaScript for AI application development.

  • Familiarity with modern AI frameworks and SDKs (e.g., LangChain, Semantic Kernel, similar).

  • Experience deploying AI solutions in cloud environments (Azure preferred).

Data Literacy
  • Strong understanding of structured and unstructured data concepts.

  • Ability to work with curated datasets, semantic layers, and metadatadriven access patterns.

  • Comfort integrating AI solutions with analytics and reporting data.

Business Partnership
  • Proven ability to work directly with business users and translate needs into working solutions.

  • Strong communication skills across technical and nontechnical audiences.

  • Productoriented mindset focused on usability and adoption.

Nice to Have
  • Experience with Microsoft Copilot, Power Platform, or enterprise AI assistants.

  • Familiarity with Snowflake, Databricks, or enterprise data warehouses (integration focus).

  • Exposure to investment, financial, or analytical domains.

About AB

We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over4,000employees across57locations operating in26countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work.

Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us!

Nashville, Tennessee