The Gen AI Data Engineer/Science Lead role is pivotal in guiding a global Generative AI POD. This position involves overseeing technical team members, reviewing and writing code, and collaborating with business users to translate their requests into actionable requirements for the development team. The work is conducted within an Agile environment, ensuring flexibility and continuous improvement throughout the project lifecycle. Though not developing features day in and out, this is a hands on role.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

Experience leading development teams

Experience in coordinating, planning, and prioritizing tasks for medium-to-large engineering teams, this includes working with business users and translating requests into technical requirements

RAG (retrieval augmented generation) pipelines - real work experience implementing, and using it.

GenAI architecture

Azure AI Vector, MongoDB and Postgres databases

TypeScript, ChatScript, and Python

Familiarity with FAISS, Pinecone, Milvus, and retrieval optimization

Understanding of OpenAI, Anthropic, Google Vertex AI, and AWS Bedrock

API design and integration architecture for AI/ML systems

DevOps - Containerization, Docker, Kubernetes, CICD, Github

Experience in building ETL workflows and data cleaning pipelines for production.

Practical experience with MongoDB, including querying and optimization.

Experience designing reporting and dashboard solutions with Plotly, Dash, PowerBI, or custom tools

Strong debugging and performance optimization skills - Experience leading production-level GenAI or RAG deployments.

Experience building scalable data visualization frameworks and dashboards.

Proficiency with cloud platforms (Azure, AWS, or GCP) for data and AI.

Background in defining and implementing AI system metrics and KPIs

Experience in vendor evaluation and management for AI services

Strong ability to collaborate and mentor across engineering, product, and data science teams. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.