AI架构师
AI Architect
公司简介:
Avahi 是一家值得信赖的 AWS 高级合作伙伴,通过基于云的解决方案帮助企业在运营上实现转型。我们是一家充满活力且快速发展的公司,以充满活力的文化和创新方法而闻名。作为行业中的新兴力量,我们乐于接受挑战,寻找对参与我们激动人心的创业旅程充满热情的人才。我们正在寻找积极进取、准备产生重大影响并成为注重协作、创造力和持续学习的团队一员的人选。
职位概述:
我们正在寻找一位经验丰富的 AI 架构师加入我们不断壮大的 AI 与云业务。您将负责设计和实现由 AWS AI 服务驱动的智能系统,特别关注 Amazon Bedrock、Bedrock Agents 和 OpenSearch。您将与客户和跨职能团队紧密合作,交付安全、成本高效且企业就绪的生产级 AI 架构。
主要职责:
AI 架构与设计
- 利用 AWS Bedrock 基础模型(Anthropic Claude、Amazon Titan、Meta Llama、Mistral 等)构建端到端的 AI/ML 解决方案
- 使用 Amazon Bedrock Agents 设计多代理编排系统,包括代理动作组、知识库和防护机制
- 定义 RAG(检索增强生成)应用的嵌入管道、向量索引策略和检索模式
- 使用 Amazon OpenSearch Service 建立语义和词法搜索架构(包括 k-NN 向量搜索和混合搜索)
- 创建 AI 平台的架构蓝图、决策记录(ADRs)和技术参考设计
AWS 云与平台工程
- 在 AWS 上设计和实现可扩展的云基础设施,使用 Lambda、ECS/EKS、API Gateway、Step Functions、S3 和 IAM 等服务
- 将 Bedrock 工作流与 AWS 数据服务(Glue、Athena、RDS、DynamoDB)和事件驱动流水线(Kinesis、SQS、EventBridge)集成
- 实施安全最佳实践,包括 VPC 隔离、PrivateLink、KMS 加密以及针对 AI 工作负载的细粒度 IAM 策略
- 推动基础设施即代码实践,使用 AWS CDK、CloudFormation 或 Terraform
技术领导力
- 成为客户的首要 AI/ML 架构顾问,将业务需求转化为可操作的技术路线图
- 领导 AI 功能的原型开发,并向工程和高管团队汇报发现结果
查看英文原文
Company Overview:
Avahi is a trusted AWS Advanced Partner that helps businesses transform their operations with cloud-based solutions. We are a dynamic and rapidly growing company known for its vibrant culture and innovative approach. As an emerging player in the industry, we thrive on challenges and seek individuals who are enthusiastic about contributing to our exciting startup journey. We are on the lookout for motivated go-getters who are ready to make a significant impact and be part of a team that values collaboration, creativity, and continuous learning.
Role Summary:
We are looking for a seasoned AI Architect to join our growing AI & Cloud practice. You will lead the design and implementation of intelligent systems powered by AWS AI services — with a particular focus on Amazon Bedrock, Bedrock Agents, and OpenSearch. You will work closely with clients and cross-functional teams to deliver production-grade AI architectures that are secure, cost-efficient, and enterprise-ready.
Key Responsibilities:
AI Architecture & Design
- Architect end-to-end AI/ML solutions leveraging AWS Bedrock foundation models (Anthropic Claude, Amazon Titan, Meta Llama, Mistral, etc.)
- Design multi-agent orchestration systems using Amazon Bedrock Agents, including agent action groups, knowledge bases, and guardrails
- Define embedding pipelines, vector indexing strategies, and retrieval patterns for RAG (Retrieval-Augmented Generation) applications
- Establish semantic and lexical search architectures using Amazon OpenSearch Service (including k-NN vector search and hybrid search)
- Create architecture blueprints, decision records (ADRs), and technical reference designs for AI platforms
AWS Cloud & Platform Engineering
- Design and implement scalable cloud infrastructure on AWS using services such as Lambda, ECS/EKS, API Gateway, Step Functions, S3, and IAM
- Integrate Bedrock workflows with AWS data services (Glue, Athena, RDS, DynamoDB) and event-driven pipelines (Kinesis, SQS, EventBridge)
- Implement security best practices including VPC isolation, PrivateLink, KMS encryption, and fine-grained IAM policies for AI workloads
- Drive infrastructure-as-code practices using AWS CDK, CloudFormation, or Terraform
Technical Leadership
- Act as the primary AI/ML architecture advisor to clients, translating business needs into actionable technical roadmaps
- Lead proof-of-concept (PoC) development for AI features and present findings to engineering and executive stakeholders
- Mentor development teams on prompt engineering, model evaluation, LLM fine-tuning, and responsible AI practices
- Conduct architecture reviews and ensure adherence to AWS Well-Architected Framework principles
Collaboration & Delivery
- Collaborate with product managers, data scientists, and software engineers throughout the software development lifecycle
- Define and track AI solution KPIs including latency, accuracy, retrieval relevance, cost-per-query, and model hallucination rates
- Produce detailed technical documentation, runbooks, and client-facing deliverables
Required Qualifications:
Core Experience
- 8+ years of software engineering or cloud architecture experience, with 3+ years focused on AI/ML or generative AI solutions
- Proven hands-on expertise with Amazon Bedrock, including model invocation APIs, Bedrock Agents, Knowledge Bases, and Guardrails
- Deep experience designing and operating Amazon OpenSearch Service clusters, including vector search (k-NN), index management, and relevance tuning
- Strong proficiency in Python; familiarity with LangChain, LlamaIndex, or equivalent orchestration frameworks is a plus
- Experience building and deploying RAG pipelines integrating foundation models with enterprise data sources
AWS Expertise
- AWS Certified Solutions Architect (Associate or Professional) strongly preferred; AWS Certified Machine Learning – Specialty is a plus
- Solid understanding of AWS networking, identity, and security services in the context of AI workloads
- Experience with multi-account AWS architectures (AWS Organizations, Control Tower) and enterprise-scale deployments
Why Work Here
Remote-First Flexibility:
Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere.
Innovative Culture:
We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions.
Career Development:
Avahi is committed to your growth, offering mentorship and opportunities to advance your career.
Purpose-Driven Mission:
Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices.
Global Collaboration:
Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact.
Accessibility and Inclusivity Statement
At Avahi, we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds, experiences, and perspectives, including those from underrepresented communities.
We are proud to be an equal opportunity employer, providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process, please let us know, and we will work to meet your needs.
Salary: 50 LPAOriginally posted on Himalayas