Senior/Lead Forward Deployed AI Engineer/Anthropic – Data Intelligence-US East
Tasks
- Build AI enabled applications using enterprise data
- Build agentic workflows with human in the loop
- Build embeddings chunking indexing and vector search
- Develop prompt and context engineering with guardrails
- Develop test plans evaluations and quality assurance
- Evaluate retrieval quality and model output quality
- Implement data ingestion transformation and enrichment pipelines
- Implement logging, tracing, and monitoring
- Implement structured outputs and tool use
- Integrate AI with ServiceNow workflows and APIs
- Integrate Claude LLMs with approved enterprise systems
- Partner with clients to identify AI use cases
- Set up data discovery retrieval semantic search and RAG
- Translate requirements into technical designs
Perks/Benefits
Skills/Tech-stack
APIs | Access Control | Agentic Workflows | Cloud Computing | Context engineering | Data Governance | Data Quality | ELT | ETL | ETL Pipelines | Embeddings | Function Calling | Human-in-the-loop | Hybrid retrieval | LLM Applications | Logging | Metadata | Model Evaluation | Monitoring | Observability | Prompt engineering | Python | RAG evaluation | Reranking | Retrieval-Augmented Generation | SQL | Semantic Search | ServiceNow | ServiceNow APIs | Structured Output | The Loop | Tool use | Tracing | Vector Databases | Vector Search | Vectorization | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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