FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
AI Prompt Engineer – Contract
Broadridge. Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in prompt engineering, AI workflow integration, and automation patterns, with a strong focus on validating AI outputs and ensuring compliance with data privacy and governance standards. Proficient in collaborating with cross-functional teams to design and implement effective AI solutions and documentation.
Highest-signal resume keywords
Prompt Engineering TechniquesAI Workflow IntegrationSoftware Development ExperienceExperience with Large Language ModelsStrong Analytical Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Prompt DesignAI ImplementationSoftware DevelopmentData SolutionsJavaSQLPythonJavaScriptAPIsAgile Methodologies
Soft Skills
Analytical SkillsTroubleshooting SkillsProblem-Solving SkillsWritten Communication SkillsMentoring Skills
Tools & Technologies
GitLabJenkinsWindowsLinuxCI/CD PipelinesOraclePostgreSQLSnowflakeJSONEnterprise Software Development
Industry Keywords
AI GovernanceData PrivacyPrompt SafetyEnterprise AI PlatformsKnowledge Management SystemsVector DatabasesChatbotsDocument Analysis ToolsAgentic WorkflowsPrompt Evaluation Frameworks
Tech Stack
Tools & technologiesJavaJavaScriptJenkinsLinuxOraclePostgresPythonSDLCSQLTypeScript
About the role
Key responsibilities & impact- Design, develop, test, debug, and implement prompts, prompt templates, AI workflows, and automation patterns
- Translate business needs into AI interaction patterns, prompt strategies, and technical specifications
- Develop reusable prompt libraries, evaluation criteria, and documentation
- Perform prompt testing, regression testing, and quality evaluation
- Validate AI-generated outputs and resolve defects, inaccuracies, and usability issues
- Integrate prompts and AI capabilities into enterprise systems, APIs, workflows, and user experiences
- Evaluate AI model behavior for summarization, classification, content generation, code assistance, data extraction, workflow automation, and knowledge retrieval
- Apply prompt engineering techniques including role prompting, structured outputs, few-shot examples, tool-use prompting, retrieval-augmented generation, and guardrails
- Support AI governance, data privacy, prompt safety, output validation, and enterprise policy compliance
- Create system documentation, user guidance, prompt instructions, and training materials
- Define requirements, acceptance criteria, success metrics, and evaluation benchmarks
- Monitor production prompt and workflow performance and recommend improvements
- Collaborate on version control, release management, testing automation, and continuous improvement
- Mentor junior team members and establish prompt engineering and responsible AI best practices
- Lead small AI solution design, prompt optimization, or AI-assisted application workstreams
Requirements
What you’ll need- Bachelor of Science in Computer Science, Data Science, Information Systems, Engineering, or equivalent education and experience
- 6+ years of experience in software development, application systems, data solutions, AI implementation, automation, or related technical environments
- Hands-on experience designing, testing, and improving prompts for large language models or generative AI tools
- Experience with Java, SQL, Python, JavaScript/TypeScript, or similar programming and scripting languages
- Experience with APIs, JSON, structured outputs, application integrations, and enterprise software development practices
- Familiarity with large language models, embeddings, retrieval-augmented generation, vector search, model evaluation, grounding, hallucination reduction, and prompt safety
- Experience with databases and data platforms such as Oracle, PostgreSQL, Snowflake, or similar technologies
- Experience with GitLab, Jenkins, Windows, Linux, application servers, and CI/CD pipelines
- Experience in SDLC development methodologies, including Agile
- Strong analytical, troubleshooting, and problem-solving skills
- Strong written communication skills for prompts, documentation, requirements, and user-facing instructions
- Experience collaborating with business users, QA, developers, architects, product owners, and security or compliance partners
- Experience mentoring development or technical team members
- Preferred: enterprise AI platforms, prompt evaluation frameworks, secure enterprise AI use cases, responsible AI, data protection, knowledge management systems, vector databases, AI assistants, chatbots, agentic workflows, document analysis tools, or developer productivity solutions
Benefits
Comp & perks- Hybrid work arrangement with the flexibility to work remotely 3 days per week
- Collaborative, engaging, and inclusive work environment
- Reasonable accommodations during the application and hiring process