Principal Engineer

Maximum Salary (US): 180000

Minimum Salary (US): 150000

Forward-Deployed Engineering Roles:
That require deep platform understanding, ability to proactively identify future needs of clients and have good solution architecture knowledge.

Job Summary Principal Engineer Forward-Deployed Engineering Roles:
That require deep platform understanding, ability to proactively identify future needs of clients and have good solution architecture knowledge. Principal Forward Deployment Engineer

Job Summary Lead end‑to‑end deployment of scalable Generative AI and agentic systems in complex customer environments. Partner closely with engineering, product, and platform teams to transform customer workflows into robust, production‑grade solutions with strong evaluation practices, safety guardrails, observability, and operational reliability.

Key Responsibilities Lead customer‑embedded deployments from discovery through pilot, stabilization, and full production rollout Design multi‑agent workflows, enterprise‑grade RAG pipelines, orchestration layers, and integration patterns Build evaluation harnesses, safety/ethical guardrails, monitoring dashboards, and failure‑mode detection Optimize latency, throughput, reliability, and cost for LLM‑powered applications at scale Diagnose and resolve issues across agents, APIs, data layers, and model‑serving infrastructure Produce reusable architectural patterns, reference implementations, and platform feedback for product teams Work closely with security, governance, and platform engineering teams on responsible deployment practices Mentor Forward Deployment Engineers, guide design reviews, and set engineering quality bars Represent engineering in customer conversations, articulating tradeoffs, risks, and solution paths Skill Requirements Strong Python engineering background Demonstrated experience building and deploying LLM/GenAI solutions Cloud architecture and deployment experience (Azure / AWS / GCP) Excellent client‑facing communication and problem‑solving skills Other Requirements

Experience with OpenAI / Anthropic / Azure OpenAI APIs Hands‑on use of agent frameworks (Auto Gen, CrewAI, Lang Graph, etc.) Familiarity with vector databases (Pinecone, Chroma, FAISS, Weaviate) Prior Forward Deployment Engineering or applied AI deployment experience Knowledge of observability stacks, reliability engineering, and cost/perf tuning Experience Requirements Principal‑level ownership of multiple customer deployments, driving solution design, integration, testing, evaluation, and stabilization.

Leads design reviews, sets engineering and documentation standards, mentors teams, and ensures production‑grade delivery across diverse customer environments.