人工智能工程经理
AI Engineering Manager
Anju Software AI 工程经理
AI 工程经理领导一个跨职能团队（开发与测试），负责技术架构、交付成果、AI 赋能系统设计，并推动团队中的 AI 优先文化。该职位兼具战略性和实操性。需要在现代 AI 框架、应用 AI 架构和可扩展系统设计方面具备深厚的专业知识。经理需对交付稳定、安全、AI 驱动的能力负责，而不仅仅是管理执行。
核心职责
技术领导与架构
• 负责产品架构，包括 AI/大语言模型（LLM）集成组件
• 设计可扩展、安全且易于维护的系统
• 主导以下决策：
o 大语言模型（LLM）集成（OpenAI、Azure OpenAI 等）
o RAG 架构和向量数据库
o AI 编排框架（LangChain、Semantic Kernel、LlamaIndex）
• 确保系统可靠性、可观测性和成本效率
• 建立 AI 治理和安全使用实践
AI 框架与方法论专长
• 应用现代 AI 方法论，包括：
o 检索增强生成（RAG）
o 提示工程与评估
o AI 输出验证与防护机制
o 人机协作工作流
o 模型监控与性能评估
• 推动实验、A/B 测试和基于遥测数据的决策
团队领导
• 领导并指导开发人员和测试工程师
• 提升团队的 AI 素养
• 建立 AI 原生的编码与评审标准
• 平衡速度、质量和架构完整性
交付与成果负责
• 负责可预测的高质量发布
• 确保 AI 功能可测量、经过验证并可用于生产环境
• 作为技术问题升级点
• 推动与产品、数据和 DevOps 团队的跨团队协作
AI 驱动的工程卓越
• 利用 AI 辅助开发工具提升开发速度
• 优化 AI 成本与性能的权衡
• 将自动化嵌入测试和 CI/CD 流水线
资格要求
- 7 年以上软件工程经验，2 年以上技术领导经验
- 具有构建和部署 AI 赋能系统的实际经验
- 熟悉以下内容：
- LLM 集成与提示设计
- RAG 架构与向量搜索
- AI 编排框架
- 云平台（Azure、AWS 或 GCP）
- 设计可扩展分布式系统的经验
优先考虑
- 在监管行业的工作经验
- AI 治理与合规知识
- 模型生命周期管理和监控工具
关于 Anju Software
查看英文原文
Anju Software AI Engineering Manager
The AI Engineering Manager leads a cross-functional team (Development & QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team. This role is both strategic and hands-on. It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design. The manager is accountable for delivering stable, secure, AI-powered capabilities — not just managing execution.
Core Responsibilities
Technical Leadership & Architecture
•Own product architecture, including AI/LLM-integrated components
•Design scalable, secure, and maintainable systems
•Lead decisions involving:
oLLM integration (OpenAI, Azure OpenAI, etc.)
oRAG architectures and vector databases
oAI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)
•Ensure system reliability, observability, and cost efficiency
•Establish AI governance and safe usage practices
AI Framework & Methodology Expertise
•Apply modern AI methodologies, including:
oRetrieval-Augmented Generation (RAG)
oPrompt engineering and evaluation
oAI output validation and guardrails
oHuman-in-the-loop workflows
oModel monitoring and performance evaluation
•Drive experimentation, A/B testing, and telemetry-based decision making
Team Leadership
•Lead and mentor developers and QA engineers
•Raise AI literacy across the team
•Establish AI-native coding and review standards
•Balance speed, quality, and architectural integrity
Delivery & Outcome Ownership
•Own predictable, high-quality releases
•Ensure AI features are measurable, validated, and production-ready
•Act as technical escalation point
•Drive cross-team alignment with Product, Data, and DevOps
AI-Driven Engineering Excellence
•Leverage AI-assisted development tools to improve velocity
•Optimize AI cost-performance tradeoffs
•Embed automation into testing and CI/CD pipelines
Qualifications
- 7+ years software engineering experience, 2+ years in technical leadership
- Hands-on experience building and deploying AI-enabled systems
- Strong knowledge of:
- LLM integration and prompt design
- RAG architectures and vector search
- AI orchestration frameworks
- Cloud platforms (Azure, AWS, or GCP)
- Experience designing scalable distributed systems
Preferred
- Experience in regulated industries
- AI governance and compliance knowledge
- Model lifecycle management and monitoring tools
About Anju Software
Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor. Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more efficiently.
Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long-term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise.
We are entering a new phase of growth, focused on embedding AI deeply into our systems and workflows. We are excited to add talent who will help lead our transformation into a truly agentic, automation-driven organization that redefines how work gets done in life sciences.
Originally posted on Himalayas