Senior AI Context Architect — Remote

TEKsystems

Lee's Summit (MO)

À distance

USD 125 000 - 158 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Health/Vision/Dental benefits
401(k) retirement plan with company/2%
Well-being program
Paid Time Off
Community Enrichment Time
Life and AD&D insurance
Disability insurance
Tuition Assistance Program

Résumé du poste

TEKsystems is seeking a Senior AI Context Engineer to build data foundations powering enterprise AI. You will transform structured and unstructured content, including policy docs, benefit materials, and clinical records, into high-quality AI context.

Role blends software engineering, applied AI, and data architecture with a focus on RAG, vector retrieval, and semantic search. This remote position offers comprehensive benefits and aligns with HIPAA/HITRUST compliance standards.

Qualifications

  • 5+ years in backend software engineering, applied ML/search, or data-centric app development.
  • Hands-on experience optimizing AI and RAG architectures, prompt context strategies, and vector retrieval.
  • Proficient in Python and SQL; familiar with Airflow, Prefect, Temporal.
  • Experience parsing unstructured content using LlamaIndex, Unstructured.io, LangChain loaders.
  • Experience with vector databases, embeddings, and semantic search platforms.

Responsabilités

  • Extraction & Chunking: convert PDFs, clinical notes, and policy docs into contextual units for LLMs.
  • Semantic Search & Reranking: implement hybrid search and reranking to boost precision.
  • Agentic Context Services: design payloads and metadata for MCP servers and LLM tools.
  • Index Design & Optimization: implement vector indexing and embedding schemes in enterprise stores.
  • Vector Metadata: design tagging for precise filtering and hybrid search.
  • Retrieval Evaluation & Groundedness: automate evaluation of relevance and embedding drift.
  • Healthcare Context Compliance: ensure HIPAA/HITRUST, masking PHI data.
  • Context-Level Access Control: RBAC within vector metadata for authorized snippet access.
  • Auditing & Handoff Lineage: maintain context tracking and audit logs for prototypes.
  • Reference Pattern Alignment & Product Support: align with Sr. AI Solutions Architect, support AI features.

Connaissances

genai
vector database
python
Retrieval-Augmented Generation
Semantic Search

Outils

Pinecone
pgvector
Weaviate
Qdrant
Azure AI Search

Description du poste

TEKsystems is seeking a Senior AI Context Engineer to build data foundations powering enterprise AI. You will transform structured and unstructured content, including policy docs, benefit materials, and clinical records, into high-quality AI context.

Role blends software engineering, applied AI, and data architecture with a focus on RAG, vector retrieval, and semantic search. This remote position offers comprehensive benefits and aligns with HIPAA/HITRUST compliance standards.

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