Forward Deployed Engineer – AI Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteLeadTeam 201-500Since 2021H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

0

Seniority

Lead

Bachelor Degree7 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformPython

Job Description

Forward Deployed Engineer – AI Solutions Architect

Embrace Software Inc

• Design and ship production RAG systems for enterprise customers — chunking strategy, embeddings, hybrid retrieval, reranking, query rewriting, citation grounding, the works. • Own retrieval evaluation end-to-end — define golden sets, build eval pipelines (Ragas, TruLens, LangSmith, or custom), and drive measurable quality wins (think context precision 0.65 → 0.90, not "looks good to me"). • Architect agentic systems layered on top of RAG — multi-step retrieval, tool use, MCP integrations, guardrails, output validation. • Embed directly with customer engineering teams — pair on whiteboards, write code in their repos, debug their data, present to their CTO. • Technically lead a distributed team of FDEs across time zones — set the quality bar, review architecture, mentor engineers, own customer outcomes. • Close the loop with our product org — what breaks in the field shapes what we build next.

Job Requirements

  • 7+ years engineering experience, with at least 2 years shipping production RAG (not POCs) at real scale.
  • Demonstrated depth on the parts of RAG that actually matter: Chunking strategies and the ablations you ran to choose one.
  • Vector DB trade-offs from real production use — Pinecone, Qdrant, Weaviate, pgvector, Vespa, OpenSearch (pick your 2–3 and have opinions).
  • Hybrid search, reranking (Cohere, cross-encoders, ColBERT), HyDE, query rewriting, context compression.
  • Retrieval and generation evaluation — you can quote real numbers from real systems you've owned.
  • The boring-but-critical stuff: access control, citation enforcement, freshness, multi-tenancy, cost-at-scale.
  • Strong Python; production experience on at least one cloud (AWS / Azure / GCP).
  • Hands-on with at least one agent framework — LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
  • Customer-facing presence — you can walk into a Fortune 500 architecture review and earn trust in 30 minutes.
  • Track record of leading engineers, not just being one.

Benefits

  • Competitive salary commensurate with experience.
  • Opportunities for career advancement and professional development.
  • Experience collaborating with a diverse, global team within a remote work setting.

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