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Director Prompt Engineer Jobs in Indiana (NOW HIRING)

$51.75 - $68.50/hr

... to the Director, to IT team, and to the implementation partner. This role requires someone who ... Produce adoption aids and internal tooling including prompt guides, workflow reference materials ...

AI Security Engineer Senior Manager

Indianapolis, IN · On-site

$109K - $150K/yr

Impact This role has direct influence on enterprise risk posture, regulatory compliance, and the ... Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and ...

Manage controls vendors while supporting site operations including direct oversight to all system ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Manage controls vendors while supporting site operations including direct oversight to all system ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Managing direct reports (at this time) What we are looking for: * Background in technology, R&D, or ... integrations, chatbots, prompt engineering, low-code/no-code tools, or scripting * Strong ...

Managing direct reports (at this time) What we are looking for: * Background in technology, R&D, or ... integrations, chatbots, prompt engineering, low-code/no-code tools, or scripting * Strong ...

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Director Prompt Engineer information

What are Director Prompt Engineers?

Director Prompt Engineers are professionals who oversee and lead teams in designing, developing, and refining prompts for artificial intelligence (AI) models, such as large language models. They are responsible for setting prompt engineering strategies, ensuring prompt quality, and collaborating with cross-functional teams to align AI outputs with business goals. Their role often includes managing prompt engineers, establishing best practices, and driving innovation in how AI systems interpret and respond to human input. Director Prompt Engineers play a critical role in shaping the effectiveness and accuracy of AI applications across various industries.

What is the highest paid prompt engineer?

The highest paid prompt engineers typically earn salaries exceeding $150,000 annually, especially those with advanced skills in AI, machine learning, and natural language processing, and experience working with large language models like GPT. Senior roles or those in tech hubs may offer even higher compensation, often including bonuses and stock options.

What engineers make $300,000 a year?

Senior engineers in fields such as software, data engineering, and specialized roles like AI or machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI research directors that offer compensation in that range. These positions often require advanced expertise in AI, extensive experience, and may include bonuses or stock options as part of the total package.

What is the difference between Director Prompt Engineer vs Prompt Engineer?

AspectDirector Prompt EngineerPrompt Engineer
ResponsibilitiesOversees AI prompt strategies, manages teams, and aligns AI outputs with business goalsDesigns and develops prompts to optimize AI model responses
Required SkillsAdvanced AI knowledge, leadership, project managementStrong prompt design, AI understanding, technical writing
Work EnvironmentStrategic, managerial, cross-functional teamsTechnical, focused on prompt creation and testing
Industry UsageUsed in organizations integrating AI at a strategic levelCommon in AI development, research, and product teams

The main difference is that a Director Prompt Engineer leads AI prompt initiatives and manages teams, while a Prompt Engineer focuses on designing effective prompts. The director role involves strategic oversight, whereas the prompt engineer role is more technical and hands-on.

What are the key skills and qualifications needed to thrive as a Director Prompt Engineer, and why are they important?

To thrive as a Director Prompt Engineer, you need deep expertise in natural language processing, AI model development, and prompt engineering, supported by an advanced degree in computer science or a related field. Proficiency with machine learning frameworks, prompt optimization tools, and familiarity with platforms like OpenAI API is essential, along with experience in managing technical teams. Exceptional communication, strategic thinking, and leadership skills help drive innovation and effectively guide cross-functional teams. These skills ensure the delivery of high-performing AI solutions and foster a collaborative environment for continuous improvement in prompt engineering.

What engineer makes $500,000 a year?

A Director Prompt Engineer or senior AI/ML engineer with extensive experience and specialized skills can earn $500,000 or more annually, especially in high-demand industries like technology and finance. Such roles often require advanced knowledge of machine learning, natural language processing, and proficiency with tools like Python, TensorFlow, or PyTorch, along with leadership responsibilities. Compensation at this level typically includes base salary, bonuses, and stock options.

How does a Director Prompt Engineer collaborate with cross-functional teams to implement AI-driven solutions?

A Director Prompt Engineer regularly works with data scientists, product managers, software engineers, and UX designers to ensure that AI prompts align with business objectives and user needs. This collaboration often involves leading brainstorming sessions, reviewing prompt performance analytics, and iterating based on feedback from both technical and non-technical stakeholders. By maintaining clear communication and a shared vision across teams, the Director ensures that prompt engineering strategies are seamlessly integrated into product development cycles. This role also mentors team members and establishes best practices, fostering a culture of continuous learning and innovation.
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Salesforce AI Use Case Developer

$51.75 - $68.50/hr

Full-time

Posted 28 days ago


Job description

Fluence (Nasdaq: FLNC)is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. For more information, please visitfluenceenergy.com.

Job Description:

Role Overview

As AI Specialist / Vibe Coder, you will be the rapid-build engine of Fluence's GTM Technology and Automation team. You will design and configure AI agents, prototype automation workflows, build Salesforce Flow logic, and ship working proofs-of-concept in days - not weeks. You sit at the intersection of AI tooling, low-code platforms, and commercial operations, working directly with Sales and Marketing teams to turn workflow ideas into live, adopted automation.

You will own the execution of AI use cases across Agentforce, Gong integrations, and Salesforce-native automation, operating as a key delivery partner to the Director, to IT team, and to the implementation partner. This role requires someone who builds real things, not someone who consults on them.

Key Responsibilities

  • Design, configure, and iterate on Agentforce agents for Sales use cases including account briefs, proposal support, and next-best-action recommendations

  • Develop and maintain Salesforce Flow automations that reduce manual handoffs, enforce lifecycle rules, and surface timely signals to reps and managers

  • Prototype rapid AI and automation proofs-of-concept for stakeholder review, with a target turnaround of one to three days per prototype

  • Support third-party implementation partner(s) on AI-adjacent implementation decisions, acting as the business-side AI authority during platform builds

  • Produce adoption aids and internal tooling including prompt guides, workflow reference materials, quick-start assistants, and in-platform help content

  • Evaluate new LLM and agent capabilities continuously and translate them into practical, governed, high-value business improvements

  • Collaborate with IT on security review, data access governance, and production deployment of all AI-powered workflows

  • Partner with Sales and Marketing teams in discovery sessions to define automation requirements and validate that shipped solutions match real workflows

Required Qualifications & Experience

  • 3+ years of hands-on experience with Salesforce automation, including Salesforce Flow, Process Builder, or equivalent declarative tools

  • Demonstrated experience with LLM APIs, prompt engineering, or AI agent frameworks - you have built agents or automated workflows using language models

  • Proven ability to deliver working prototypes rapidly from a standing start; a portfolio of things you have shipped matters more than certifications

  • Comfortable working directly and frequently with non-technical commercial stakeholders to define requirements and validate solutions

  • Strong understanding of B2B commercial workflows: lead lifecycle, opportunity management, pipeline reporting, and proposal processes

  • Solid grasp of data security and governance principles relevant to AI systems, including prompt injection risks, data access scoping, and audit logging

Additional Skills

  • Hands-on experience with Salesforce Agentforce or Einstein Copilot agent configuration

  • Experience with Gong, Demandbase, or similar GTM platforms and their integration patterns is a strong plus

  • Experience working alongside third-party implementation partners in a sprint-based delivery model

  • Background in energy, infrastructure, industrial SaaS, or other complex B2B environments

Our Culture

At Fluence, our culture is the foundation that drives our ambitious growth strategy and fuels our mission to transform the future of energy. Our core cultural pillars empower us to innovate, collaborate, and lead with purpose, ensuring we continue to deliver unparalleled value to our customers and the world.

Unleash Voices

We believe every voice matters. We encourage openness, active listening, and decisive action to create a culture where everyone has the opportunity to contribute to our success. We foster an environment where diverse perspectives are heard and valued, driving innovation and progress.

Customer Fluent

Our customers are at the heart of everything we do. We're committed to delivering exceptional value that exceeds expectations by understanding our customers' needs and adapting swiftly to meet them. Our deep focus on customer satisfaction drives us to continuously improve and innovate.

Infinite Impact

We are committed to creating the impossible. We push boundaries to deliver sustainable, game-changing solutions that shape a brighter, more energy-efficient future for all. Our team is passionate about making a lasting impact that will resonate for generations to come.

All In

We are all in for growth. Our teams are relentlessly focused on identifying and seizing opportunities that propel us forward. We embrace an ownership mindset, pushing ourselves and each other to accelerate progress and create lasting success.

Equal Opportunity Employer
At Fluence, we believe great teams are built on a collaborative and connected culture. We're proud to be an Equal Opportunity Employer and welcome qualified applicants of all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other status protected by law.

Work Authorization
To join our team, you'll need to be legally authorized to work in the United States at the time of application and throughout your employment, without the need for employer sponsorship. Please note that Fluence does not sponsor work visas for this position.