Principal Engineer

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 (AutoGen, CrewAI, LangGraph, 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.