Staff Forward Deployed AI Solutions Engineer

The Staff Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds.

Responsibilities

Map workflows in the domain; Identify step-change opportunities where AI, ML, or automation unlock throughput, coverage, or speed; Build the business case, quantify projected impact, and align with domain leadership on priorities; Map structured and unstructured data flows across systems; Define the target workflow; Design human-in-the-loop checkpoints; Stand up agents and automation pipelines; Connect agents to business systems via MCP servers, APIs, webhooks, CLIs, and skills; Configure tools, prompts, context, and retrieval pipelines; Handle integration issues such as auth, schema drift, rate limits, and data quality; Enable access and training for business users; Own agent performance end-to-end and track KPIs; Build and manage evals; Triage failures, tune prompts and context, iterate on workflows; Instrument observability with tracing, structured logs, and dashboards

Requirements

Hands-on technical fluency; CLIs; APIs; webhooks; SQL; Python scripting; Working knowledge of LLM and agent behavior — prompting, context, tool use, RAG, MCP, evals, failure modes; Comfortable with a cloud platform; Trustworthy with elevated access; Least-privilege, auditability, and safe rollbacks; Strong technical and process judgment; Think in outcomes and KPIs; Defend prioritization calls; Comfortable being the most technical person in a business meeting and the most business-savvy in a technical one

Nice to have

Prior experience working hand in hand with businesses to deliver measurable outcomes; Hands-on experience with an enterprise agentic platform (CrewAI, LangChain, AWS Bedrock, Claude, Codex) or building directly against a model API; Background in product management, solutions engineering, consulting, forward-deployed engineering, or technical operations; Experience in regulated environments (HIPAA, SOC 2, GxP, SOX)

Benefits

Comprehensive medical, dental, vision, life and disability plans; Free testing for employees and their immediate families; Fertility care benefits; Pregnancy and baby bonding leave; 401k benefits; Commuter benefits; Employee referral program; Additional bonus and equity components