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Director Prompt Engineer Jobs (NOW HIRING)

... prompt engineering, RAG architectures, agent frameworks) * Direct experience with Amazon Bedrock, including Agent configuration, Knowledge Base setup, Guardrails, and foundation model invocation

Senior Staff Engineer, DevAI

San Diego, CA

$110K - $152K/yr

This role follows a hybrid work schedule and reports to the Director of Engineering, DevAI You will ... Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and ...

We have a few excellent senior engineers already on the team, one of which will become your direct ... You are an experienced LLM Prompt Engineer and have fine-tuned or deployed LLMs yourself. * You ...

Lead AI Engineer

Columbus, OH ยท Remote

$152K - $190K/yr

Position Summary Reporting to the Director of AI Engineering, the Lead AI Engineer is responsible ... We are seeking a Lead AI Engineer to partner ML Engineers, Prompt Engineers, and Product teams ...

We have a few excellent senior engineers already on the team, one of which will become your direct ... You are an experienced LLM Prompt Engineer and have fine-tuned or deployed LLMs yourself. * You ...

Lead AI Engineer

Columbus, OH ยท On-site

$152K - $229K/yr

Position Summary Reporting to the Director of AI Engineering, the Lead AI Engineer is responsible ... We are seeking a Lead AI Engineer to partner ML Engineers, Prompt Engineers, and Product teams ...

Lead AI Engineer

Columbus, OH ยท On-site

$152K - $190K/yr

Position Summary Reporting to the Director of AI Engineering, the Lead AI Engineer is responsible ... We are seeking a Lead AI Engineer to partner ML Engineers, Prompt Engineers, and Product teams ...

Associate Director, AI Engineer

New York, NY ยท On-site

$94K - $152K/yr

Develop reusable agent components, prompt templates, and tool-use libraries to accelerate future ... Collaborate with the Offshore Director Staff AI Engineer on architecture direction, design patterns ...

Lead AI Engineer - AgenticAI

Santa Clara, CA ยท On-site

$120K - $158K/yr

Prompt engineering as a managed, versioned, testable artifact * Experience deploying and operating LLMs using: * AWS SageMaker, Vertex AI, or equivalent managed platforms * Direct API integrations ...

... prompt engineering, and scalable AI system design Direct collaboration with a fast-moving, high-performance team

Lead AI Engineer - AgenticAI

Santa Clara, CA ยท On-site

$120K - $158K/yr

Prompt engineering as a managed, versioned, testable artifact * Experience deploying and operating LLMs using: * AWS SageMaker, Vertex AI, or equivalent managed platforms * Direct API integrations ...

This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI ... Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and ...

AI Architect

Fairfax, VA ยท On-site

$62.50 - $82.50/hr

Direct experience delivering AI or advanced analytics solutions to U.S. federal agencies ... Data engineering fundamentals (Pandas, NumPy, pipelines, APIs) * This is not a pure GenAI prompt ...

Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and ... Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model ...

Director, Software Engineering Department: Product Development Reports to: SVP, Software ... Familiarity with prompt engineering principles and the ability to coach engineers on effective ...

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Director Prompt Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do director prompt engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for director prompt engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups with high growth potential.

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 extensive experience, advanced skills in AI and machine learning, and proficiency with large language models. Senior roles or specialists working in top tech companies or consulting firms tend to command the highest compensation.

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 is a $900,000 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 this range. These positions often require advanced expertise in AI, extensive experience, and may include stock options or bonuses as part of the total compensation package.

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.

Which 3 jobs will survive AI?

For a Director Prompt Engineer, roles that require complex creativity, strategic decision-making, and emotional intelligence are likely to persist despite AI advancements. These include jobs like executive leadership, specialized healthcare professionals, and roles in research and development. Skills such as critical thinking, interpersonal communication, and domain expertise will remain essential in these areas.
More about Director Prompt Engineer jobs
What cities are hiring for Director Prompt Engineer jobs? Cities with the most Director Prompt Engineer job openings:
What are the most commonly searched types of Prompt Engineer jobs? The most popular types of Prompt Engineer jobs are:
What states have the most Director Prompt Engineer jobs? States with the most job openings for Director Prompt Engineer jobs include:
Infographic showing various Director Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
AI/ML Engineer

AI/ML Engineer

rockITdata

Arlington, VA โ€ข Remote

Full-time

Posted 25 days ago


Key responsibilities

  • Configure and optimize Amazon Bedrock Agents, prompt templates, and knowledge bases to support AI-powered contact center capabilities.

  • Develop and implement coaching rulesets and QA scoring rubrics for real-time compliance monitoring and post-call analysis.

  • Monitor and evaluate AI model performance, including benchmarking new model releases and remediating model drift.


Job description

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to ย government entities to deliver predictable, measurable impact for the American taxpayer and consumer.
rockITdata is seeking an AI/ML Engineer. This role is responsible forย designing, building, andย optimizingย AI-powered capabilities within an Amazon Connect contact center environment running in AWS GovCloud (IL4). This role will focus on Amazon Bedrock Agent configuration, prompt engineering, knowledge base development, coaching ruleset design, QA scoring rubric implementation, and continuous model evaluation. The engineer will work across all four AI capabilities: IVR Call Taking, AI Coaching, Call Summaries, and Post Call Analysis.ย 
Key Responsibilities
  • Configure andย optimizeย Amazon Bedrock Agents for virtual agent fulfillment, real-time coaching, call summarization, and post-call quality analysisย 
  • Design, version-control, and iteratively refine prompt templates for each AI capability, measuring performance against SLA accuracy targets (โ‰ฅ95% QA match)ย 
  • Build andย maintainย the AWS Bedrock Knowledge Base, including content ingestion pipelinesย syncedย from Salesforce and semantic retrieval optimization using Amazon Nova modelsย 
  • Develop coaching rulesets that map required disclosures, HIPAA-sensitive language patterns, and DHA-mandated scripts to specific call types for real-time compliance monitoringย 
  • Implement QA scoring rubrics for the post-call analysis platform, enabling automated evaluation of sentiment, compliance, accuracy, and resolution effectiveness across 100% of callsย 
  • Configure Bedrock Guardrails for PHI/PII redaction, hallucination detection, prompt-injection protection, and content filtering on every inference callย 
  • Evaluate new Amazon Nova model releases (Nova Pro, Nova Lite, Nova Micro) against production benchmarks for accuracy, latency, and cost efficiency, proposing model swaps through change managementย 
  • Collaborate with the Integration Engineer to ensure Bedrock inference outputs are properly formatted for delivery to Salesforce (via Lambda and Platform Events) and to Verintย 
  • Monitor model performance using CloudWatch metrics andย QuickSightย dashboards;ย identifyย and remediate model drift at Day 30 and Day 60 re-benchmarking intervalsย 
  • Participate in biweekly sprint demos, presenting AI performance data, prompt tuning results, and accuracy metrics to TriWest stakeholdersย 
  • Work with TriWest QA reviewers and SMEs to close knowledge gapsย identifiedย through post-call analysis feedback loopsย 
  • Ensure all AI inference and loggingย compliesย with FedRAMP High, DFARS 252.204-7012, HIPAA, and NIST AI RMF requirementsย 
Required Qualifications
  • 3+ years of experience in applied AI/ML engineering, with hands-on work building LLM-based applications (prompt engineering, RAG architectures, agent frameworks)ย 
  • Direct experience with Amazon Bedrock, including Agent configuration, Knowledge Base setup, Guardrails, and foundation model invocationย 
  • Proficiencyย with Amazon Nova model family or equivalent foundation models (e.g., Claude, Titan) in production environmentsย 
  • Strong Python and/or Node.js skills for Lambda function development and AI pipeline integrationย 
  • Experience with retrieval-augmented generation (RAG) patterns, including vector store management, chunking strategies, and semantic search optimizationย 
  • Familiarity with AWS serverless services: Lambda, Kinesis, S3, CloudWatch, and IAM within GovCloud environmentsย 
  • Understanding of healthcare data privacy requirements (HIPAA, PHI/PII handling) and federal compliance frameworks (FedRAMP, NIST 800-53)ย 
  • Experience with version-controlled prompt management and A/B testing of prompt variantsย 
  • Strong analytical skills for interpreting model performance metrics and translating findings into prompt or architecture improvementsย 
  • Bachelorโ€™s degree in Computer Science, Data Science, AI/ML, or related field (or equivalent experience)ย 
Preferred Qualifications
  • Experience with Amazon Connect, Contact Lens, and contact center AI workflowsย 
  • Prior work in FedRAMP High or IL4/IL5 environmentsย 
  • Familiarity with Salesforce integration patterns (Platform Events, Streaming API, REST/SOAP APIs)ย 
  • AWS certifications: Machine Learning Specialty, Solutions Architect, or DevOps Professionalย 
  • Experience with TRICARE, DHA, or healthcare insurance domain knowledgeย 
  • Background in conversational AI design (IVR, chatbots, voice agents)ย 

#LIREMOTE


Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. Theyโ€™re who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.

Know the Why.

Value People Above All Else.

Transparency to a Fault.

Progress, Not Perfection.

Be Good by Doing Good.

Smart People Can Disagree.

Bend but Donโ€™t Break.

Represent Your Brand.

Think Differently.

Be Amazing, Be Fearless, Smile, Have Fun!

Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!


rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seekerโ€™s new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.


rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law.


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