AI Platform Engineer
About The Position
HED is hiring an AI Platform Engineer to develop, evaluate, and improve AI capabilities that support its people and practice. Working within the Data & AI team, the engineer will build and optimize production AI solutions, evaluate large language models, improve AI-generated responses, and turn organizational knowledge into secure, accessible, and actionable intelligence. The role owns defined technical initiatives and collaborates with developers, data engineers, and business stakeholders, with opportunities to influence technical decisions and grow into broader platform leadership. The position includes evaluating and improving models, prompts, and configurations; optimizing retrieval-augmented generation and context management; delivering AI use cases from requirements through deployment and ongoing improvement; supporting workflows and structured data for organizational expertise; and applying governance, privacy, security, and access requirements. The engineer also contributes to technical reviews, development practices, testing, and evaluation of emerging generative AI and agentic technologies.
Requirements
- Approximately 4–6+ years of experience in software engineering, machine learning engineering, data engineering, or a related technical discipline.
- Hands-on experience developing, deploying, or supporting LLM applications in production.
- Experience implementing AI evaluations, benchmarks, or performance testing.
- Working knowledge of RAG, information retrieval, prompt engineering, and context optimization.
- Proficiency in Python and SQL, Git, automated testing, and modern software development practices.
- Experience with cloud applications, APIs, and data integration workflows.
- Understanding of enterprise data governance, privacy, and security.
- Ability to independently deliver complex technical assignments and communicate effectively with technical and nontechnical stakeholders.
Nice To Haves
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience.
- Experience with Azure OpenAI, Amazon Bedrock, Anthropic, or comparable AI platforms.
- Familiarity with Databricks, Delta Lake, Unity Catalog, MLflow, or similar platforms.
- Experience with AI agents, automated workflows, experiment tracking, or multi-model systems.
Responsibilities
- Develop and maintain model benchmarks, evaluation datasets, testing methods, and performance baselines for production AI applications.
- Evaluate models, prompts, and configurations for response quality, reliability, cost, latency, and risk; document findings and recommend improvements.
- Support preproduction validation of model, prompt, and application changes.
- Develop and optimize retrieval-augmented generation, retrieval ranking, prompt structures, context management, and caching.
- Measure answer quality, token usage, and operating costs, and use results to guide improvements.
- Collaborate with application developers to improve shared AI capabilities and user experiences.
- Deliver defined AI use cases from requirements and design through implementation, testing, documentation, adoption, and improvement.
- Help design workflows that capture and organize employee expertise, skills, and competencies for AI-powered applications.
- Develop structured data models, skills taxonomies, and knowledge capture workflows, and partner with data engineering to integrate governed datasets.
- Work with business stakeholders to define requirements, success criteria, and practical solutions.
- Apply privacy, security, data classification, consent, retention, and access-control requirements to AI solutions and datasets.
- Support dataset quality, lineage, ownership, documentation, and auditability.
- Contribute to architecture discussions, technical reviews, coding standards, automated testing, CI/CD, and code reviews.
- Use AI-assisted development tools responsibly and share technical knowledge with colleagues.
- Evaluate emerging generative AI and agentic technologies for practical application at HED.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
