채용
Join us and help shape the future of AI by defining the narrative around document understanding.
About the Role:
Llama Index is looking for an Applied AI Solutions Architect to sit at the intersection of enterprise sales and deep technical execution. This role is embedded directly in our revenue motion — you're the person who turns a skeptical engineering team into a champion and a promising evaluation into a signed deal.
You'll own the technical relationship from first discovery through proof of concept, working alongside Account Executives on live opportunities with the world's most ambitious AI teams. You're not just demoing a product — you're diagnosing real infrastructure problems, designing solutions, and earning trust with the people who have to live with the architecture long after the contract is signed.
What You'll Do:
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Lead technical evaluations, proofs of concept, and solution design sessions for enterprise prospects across a range of industries and use cases
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Partner closely with AEs to de-risk deals, surface technical blockers early, and build credible paths to "yes"
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Communicate complex AI and data infrastructure concepts clearly to both engineers and C-level stakeholders in the same conversation
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Design and prototype solutions using Llama Index's platform that directly address customer requirements around accuracy, latency, cost, and scale
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Represent the voice of the customer internally — feeding insights to Product and Engineering that sharpen the roadmap
What We're Looking For:
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Strong engineering foundation with experience in AI/ML systems, data pipelines, or enterprise software architecture
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Demonstrated ability to work in customer-facing technical roles — pre-sales, solutions engineering, or technical consulting
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Comfort operating under ambiguity: you can scope a problem, make reasonable assumptions, and move forward without waiting for perfect information
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GTM instincts — you understand what it takes to build technical consensus across a buying committee
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Clear, confident communicator who can translate system design trade-offs into business risk language for executives
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Prior experience with Llama Index or Llama Cloud is not required — we care about how you think and how you ramp
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Llama Index does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. Llama Index is not responsible for any fees related to unsolicited resumes.
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모의 지원자 수
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LlamaIndex 소개

LlamaIndex
Series ALlamaIndex is an open-source data framework that enables developers to connect custom data sources to large language models. The company provides tools and infrastructure for building LLM-powered applications with retrieval-augmented generation capabilities.
1-50
직원 수
San Francisco
본사 위치
$100M
기업 가치
리뷰
4.1
44개 리뷰
워라밸
3.8
보상
4.2
문화
4.4
커리어
4.3
경영진
3.6
82%
친구에게 추천
장점
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
단점
Work-life balance can be challenging during product launches
Internal politics in some teams
Organizational changes and restructuring can be disruptive
연봉 정보
5개 데이터
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Software Engineer
0개 리포트
$149,250
총 연봉
기본급
-
주식
-
보너스
-
$126,862
$171,638
면접 경험
1개 면접
난이도
4.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Technical Knowledge
FAISS/Vector Database
LLM/AI Experience
뉴스 & 버즈
Using LlamaIndex for AI-Assisted Knowledge Management - Packt
Packt
News
·
3d ago
LlamaIndex Targets Fintech With Hands-On AI Workshop on Financial Document Processing - TipRanks
TipRanks
News
·
1w ago
LlamaIndex Expands San Francisco Presence With New Office and Community Focus - TipRanks
TipRanks
News
·
2w ago
LlamaIndex Demonstrates Gemini 3.1 Voice Agent Integration With Local Document Parsing - TipRanks
TipRanks
News
·
3w ago