Government Careers
  • Director, Agent Intelligence - HYBRID ROLE

  • Scorpion Therapeutics
  • Boston, Massachusetts 02298 United States View Map

Summary

Hybrid (Boston office required 3 days/week).

Responsibilities:
  • Design and operate Vertex's agent memory layer (personal/org memory), including retention, retrieval, conflict resolution, and classification.
  • Define and steward “personas as code” (voice, remit, boundaries) with versioning, review, composition, and deployment.
  • Curate a skills catalog of atomic tools and higher-order compositions (contracts, registry, quality standards).
  • Design, build, and deploy flagship enterprise agents (Snowflake Cortex AI, Databricks AI, agent orchestration frameworks) to harden primitives.
  • Define and maintain enterprise standards for orchestration, prompt libraries, persona definitions, tool-use patterns, and response quality.
  • Set conversational UX quality bar (tone/persona, citations, error handling, escalation paths, transparency) and drive consistency.
  • Govern reusable prompt and skill assets (system prompts, templates, tool instructions, conversation patterns) with documentation and contribution workflows.
Qualifications / Required skills:
  • 10+ years in data engineering/AI-ML/advanced analytics; 3+ years in NLP, AI agent development, or conversational AI.
  • Production AI agent experience with LangChain/LangGraph or similar.
  • Strong enterprise experience with Snowflake (Cortex) and/or Databricks (Agent Bricks/AI Functions/Mosaic AI).
  • Full-stack AI engineering across prep, prompting, orchestration, eval/testing, deployment, monitoring.
  • Direct experience designing agent memory/state and retrieval.
  • Proven production operations (availability, monitoring, continuous improvement).
  • Leadership/communication with executives.
Preferred:
  • Pharma/life sciences domain experience.
  • Reusable agent abstraction/platform primitive design.
  • Agent evaluation tooling (Braintrust, LangSmith, Mosaic AI Eval, Arize, Ragas).
  • Model fine-tuning/distillation/post-training for domain adaptation.
Compensation:
  • Pay range: $216,400–$324,600; eligible for annual bonus and annual equity awards.
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Job Description

Hybrid (Boston office required 3 days/week).

Responsibilities:
  • Design and operate Vertex's agent memory layer (personal/org memory), including retention, retrieval, conflict resolution, and classification.
  • Define and steward “personas as code” (voice, remit, boundaries) with versioning, review, composition, and deployment.
  • Curate a skills catalog of atomic tools and higher-order compositions (contracts, registry, quality standards).
  • Design, build, and deploy flagship enterprise agents (Snowflake Cortex AI, Databricks AI, agent orchestration frameworks) to harden primitives.
  • Define and maintain enterprise standards for orchestration, prompt libraries, persona definitions, tool-use patterns, and response quality.
  • Set conversational UX quality bar (tone/persona, citations, error handling, escalation paths, transparency) and drive consistency.
  • Govern reusable prompt and skill assets (system prompts, templates, tool instructions, conversation patterns) with documentation and contribution workflows.
Qualifications / Required skills:
  • 10+ years in data engineering/AI-ML/advanced analytics; 3+ years in NLP, AI agent development, or conversational AI.
  • Production AI agent experience with LangChain/LangGraph or similar.
  • Strong enterprise experience with Snowflake (Cortex) and/or Databricks (Agent Bricks/AI Functions/Mosaic AI).
  • Full-stack AI engineering across prep, prompting, orchestration, eval/testing, deployment, monitoring.
  • Direct experience designing agent memory/state and retrieval.
  • Proven production operations (availability, monitoring, continuous improvement).
  • Leadership/communication with executives.
Preferred:
  • Pharma/life sciences domain experience.
  • Reusable agent abstraction/platform primitive design.
  • Agent evaluation tooling (Braintrust, LangSmith, Mosaic AI Eval, Arize, Ragas).
  • Model fine-tuning/distillation/post-training for domain adaptation.
Compensation:
  • Pay range: $216,400–$324,600; eligible for annual bonus and annual equity awards.
#J-18808-Ljbffr
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