AI 工程师负责人
Lead AI Engineer
泰格分析正在寻找一个经验丰富的领先 AI 工程师，以领导 Luma 平台的端到端 AI 工程工作流。这是负责推动企业规模 Agentic AI 解决方案的架构，设计和交付的实践技术领导角色，同时成为客户的主要技术界面。理想候选人将结合人工智能工程，分布式系统，云本土建筑和 MLOP 方面的深入专业知识，并具有特殊的利益相关者管理技能。这个人将监督多个工程组，辅导技术团队，推动工程卓越性，并与客户领导层密切合作，塑造 AI 路线图，确保成功交付。要求关键责任 · 引领 AI 架构和人工智能平台的工程路线图。·设计和提供可扩展的生产级 AI 解决方案。·监督 AI 平台服务，后端 API,微服务，MLOps,可观察性和云基础设施。· 与客户合作，将业务需求转化为 AI 解决方案，领导建筑讨论。· 引导 AI 工程师进行设计/代码审查，并驱动工程最佳实践。· 领导多个工程团队，管理交付，风险和技术路线图。·评估并采用新兴的 AI 技术和框架。所需技能 · AI/ML:GenAI,LLMs,Agentic AI,多代理系统，RAG,快速工程，AI Guardrails,MLOps. ·编程：Python （专家）,Golang,REST API,Async 编程。·云：AWS （Bedrock/AgentCore 优先）,Lambda,ECS/EKS,API 门户端，步骤功能，S3,DynamoDB,CloudWatch. ·后台：微服务，Docker,Kubernetes,分布式系统。·领导力：面向客户咨询，建筑设计，利益相关者管理，辅导和技术领导能力。· 1015年以上软件工程，拥有5年以上的领先 AI/ML 工程团队。· AWS 上建立和部署企业 AI 平台经验。·强大的面向客户，解决方案架构和跨功能领导经验。首选 · AWS Bedrock,LangGraph,CrewAI,AutoGen,人工智能副驾驶员，人工智能的可观察性，企业 SaaS 以及大规模分布式系统。随着公司的发展而有显著职业发展机会。该职位提供了一个独特的机会成为一个小型，快速增长，具有挑战性的和创业环境的一部分，具有高水平的低级环境。
查看英文原文
Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.
The ideal candidate will combine deep expertise in AI engineering, distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams, drive engineering excellence, and partner closely with client leadership to shape the AI roadmap and ensure successful delivery.
Requirements
Key Responsibilities
- Lead AI architecture and engineering roadmap for Agentic AI platforms.
- Design and deliver scalable, production-grade AI solutions.
- Oversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure.
- Partner with clients to translate business needs into AI solutions and lead architecture discussions.
- Mentor AI engineers, conduct design/code reviews, and drive engineering best practices.
- Lead multiple engineering teams, manage delivery, risks, and technical roadmaps.
- Evaluate and adopt emerging AI technologies and frameworks.
Required Skills
- AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
- Programming: Python (expert), Golang, REST APIs, Async Programming.
- Cloud: AWS (Bedrock/AgentCore preferred), Lambda, ECS/EKS, API Gateway, Step Functions, S3, DynamoDB, CloudWatch.
- Backend: Microservices, Docker, Kubernetes, Distributed Systems.
- Leadership: Client-facing consulting, architecture design, stakeholder management, mentoring, and technical leadership.
Qualifications
- 10–15+ years in software engineering with 5+ years leading AI/ML engineering teams.
- Experience building and deploying enterprise AI platforms on AWS.
- Strong client-facing, solution architecture, and cross-functional leadership experience.
Preferred
· AWS Bedrock, LangGraph, CrewAI, AutoGen, AI Copilots, AI Observability, Enterprise SaaS, and large-scale distributed systems.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Originally posted on Himalayas