Forward Deployed Engineer - AI/ML Data Science
Tasks
- Architect agentic AI workflows with LLM APIs
- Architect and ship production AI and platform solutions
- Build RAG based course assistant systems
- Build integration middleware and data pipelines
- Create automated AI evaluation frameworks
- Define deployment standards and reusable templates
- Design SSO and grade passback flows
- Design and build adaptive learning paths
- Develop auto graded problem bank tooling
- Embed with institutional partners to gather requirements
- Ensure AI deployments meet FERPA requirements
- Ensure accessibility compliance with WCAG 2.1 AA
- Ensure data governance compliance
- Implement LTI 1.3 integrations with institutional LMS
- Implement LTI Advantage integrations with institutional LMS
- Implement retrieval-augmented generation pipelines
- Lead end to end deployment of AI learning products
- Mentor engineers and conduct technical reviews
- Present architecture and AI safety posture to executives
- Write and own production code
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Lambda | Agentic AI | Amazon ECS | Amazon EKS | Amazon RDS | Amazon S3 | COPPA | Caliper | Cloud Architecture | CloudWatch | Data Pipelines | Deep Linking | Evaluation Frameworks | FERPA | Grade Passback | GraphQL | Integration Middleware | JavaScript | LTI 1.3 | LTI Advantage | Language Models | Large Language Models | Prompt engineering | Python | RAG | REST API | SQL | SSO | Tool-Calling | TypeScript | WCAG 2.1 | WCAG 2.1 AA | XAPI
Education
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