AI Engineer, Forward Deployed
Core
Embed as a resident AI expert within internal operational teams to design, build, and optimize LLM-powered applications and agent workflows that drive efficiency and accuracy in business processes.
Role type
Forward-deployed AI Engineer (Hybrid Engineer/Consultant)
Builds
LLM-powered application features, agentic workflows, chat-based analytical interfaces, and backend services for enterprise data applications.
Domain
Life Sciences / Healthcare / Pharmaceutical Market Access
Deliverable
production ML models | product features
Required skills
LLM application patterns, prompt engineering, tool/function calling, agent loop design, Python development, cloud deployment (AWS), SQL integration, chat interface design, token/cost optimization, cross-functional stakeholder translation
Preferred skills
Forward-deployed engineer experience, Snowflake Cortex Analyst, Streamlit/FastAPI/React, AWS container/serverless deployment, life sciences domain knowledge, data visualization/analytics workflows
Technologies
Python, AWS, LLM APIs, Cursor/Claude/Codex, SQL, Git, FastAPI, React, Streamlit, Snowflake Cortex
Responsibilities
Embed with internal departments to identify AI opportunities and translate operational needs into solution requirements; Design and build agent loops with tool-calling, multi-step reasoning, and traceable user responses; Develop production chat interfaces connecting user questions to backend tools and data services; Optimize prompts, context windows, and model costs for reliability and performance; Deploy AI applications on AWS with proper security, observability, and monitoring practices; Lead change management and training for internal teams on new AI workflows.
Seniority
Senior, hands-on IC
