AI Engineering Associate Director
New
Remote role to be located in the United StatesFull-TimeManager
SalaryUSD 151400 - 202500 / year
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonSQLArtificial IntelligenceCloud ComputingMachine LearningCI/CDRESTful APIsPrompt EngineeringGenerative AI
Requirements
- Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience.
- 6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting.
- Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications.
- Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, and LLM integration.
- Proficiency in Python and SQL.
- Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud.
- Experience working with APIs, databases, data pipelines, and enterprise integration patterns.
- Familiarity with software engineering practices such as Git, CI/CD, testing, containerization, and deployment.
- Ability to build technically credible solutions while communicating clearly with both technical and non-technical audiences.
- Strong collaboration skills for working with cross-functional teams.
Responsibilities
- Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains.
- Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools.
- Develop solutions using modern AI engineering patterns, including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, and agentic workflows.
- Partner with solution architects, data scientists, cloud engineers, and business stakeholders to translate requirements into technical designs.
- Build and maintain data pipelines, integration services, and model-ready datasets.
- Integrate AI models and services from major cloud providers, commercial model providers, and open-source frameworks.
- Create proofs of concept, prototypes, and technical assets to demonstrate business value.
- Support sales efforts through demo environments, technical walkthroughs, and proposal content.
- Apply responsible AI practices including model evaluation, bias testing, privacy controls, and explainability.
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