出海雷达

AI集成与自动化开发工程师

AI Integration & Automation Developer

AI开发工程限定地区(需当地身份)
公司Logicalis Spain
薪资$77,517 - $100,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

摘要
AI集成与自动化开发人员设计、构建、测试并支持AI驱动的集成和自动化解决方案,以提高托管服务运营的效率、可扩展性和质量。该职位以交付为导向,注重实践,将运营问题转化为实际的自动化和AI工作流解决方案,减少人工操作,提高服务一致性,并创造可衡量的业务价值。
该职位需要具备强大的批判性思维能力,对新兴AI自动化能力充满好奇,并能够评估AI、编排、脚本、工作流自动化或传统流程改进在何处能带来最佳结果。开发者将与技术和运营利益相关者密切合作,并可能从AI集成与自动化工程师处获得非直接的技术指导。

核心职责和任务
AI集成与自动化开发

  • 设计、开发和维护支持托管服务的AI驱动的自动化、集成和工作流解决方案。
  • 构建实用的AI编排模式,连接系统、数据、提示、API、脚本和操作工作流。
  • 开发减少人工工作、提高服务交付速度、增加一致性或实现可衡量成本节约的自动化解决方案。
  • 创建可跨多个用例复用的组件、连接器、脚本和工作流模式。
  • 作为托管服务自动化组合的一部分,支持内部AI编排能力和相关自动化服务的实施。

批判性思维与运营问题解决

  • 分析运营痛点,并确定AI、自动化、集成、流程改进或综合方法是否是最佳解决方案。
  • 识别解决系统性问题的自动化机会,而不仅仅是孤立的人工任务。
  • 平衡实验与生产稳定性、可支持性、安全性和操作准备度。
  • 利用数据、结果指标和利益相关者反馈来验证自动化工作是否带来效率提升或业务价值。

AI自动化交付与支持

  • 开发具有适当保护机制和回退逻辑的LLM驱动的工作流、代理自动化模式和AI辅助的操作流程。
  • 根据需要与企业工具、监控平台、ITSM系统、云服务和内部应用程序进行集成。
查看英文原文

Summary

The AI Integration & Automation Developer designs, builds, tests, and supports AI-enabled integrations and automation solutions that improve the efficiency, scalability, and quality of Managed Services operations. This role is delivery-focused and hands-on, translating operational problems into practical automation and AI workflow solutions that reduce manual effort, improve service consistency, and create measurable business value.
This position requires strong critical thinking, curiosity about emerging AI automation capabilities, and the ability to evaluate where AI, orchestration, scripting, workflow automation, or traditional process improvement will drive the best outcome. The developer will work closely with technical and operational stakeholders and may receive dotted-line technical guidance from the AI Integration & Automation Engineer.
Essential Duties and Responsibilities
AI Integration & Automation Development

  • Designs, develops, and maintains AI-enabled automations, integrations, and workflow solutions supporting Managed Services.
  • Builds practical AI orchestration patterns that connect systems, data, prompts, APIs, scripts, and operational workflows.
  • Develops automation solutions that reduce manual work, improve service delivery speed, increase consistency, or create measurable cost avoidance.
  • Creates reusable components, connectors, scripts, and workflow patterns that can be leveraged across multiple use cases.
  • Supports implementation of internal AI Orchestration capabilities and related automation services as part of the Managed Services automation portfolio.

Critical Thinking & Operational Problem Solving

  • Analyzes operational pain points and determines whether AI, automation, integration, process improvement, or a combination of approaches is the best solution.
  • Identifies automation opportunities that address systemic problems, not only isolated manual tasks.
  • Balances experimentation with production stability, supportability, security, and operational readiness.
  • Uses data, outcome measures, and stakeholder feedback to validate whether automation work is creating efficiency gains or business value.

AI Automation Delivery & Support

  • Develops LLM-enabled workflows, agentic automation patterns, and AI-assisted operational processes with appropriate guardrails and fallback logic.
  • Integrates with enterprise tools, monitoring platforms, ITSM systems, cloud services, and internal applications as needed.
  • Troubleshoots automation defects, integration failures, and AI workflow issues, driving durable fixes and continuous improvement.
  • Documents solution design, configuration, support steps, ownership, and knowledge articles to reduce key-person dependency.
  • Participates in testing, UAT, release readiness, change control, and production support activities for automation solutions.

Managed Services, ITIL & Collaboration

  • Applies awareness of Managed Services delivery models, ITIL processes, and operational impact when designing automation solutions.
  • Collaborates with engineers, service owners, process owners, developers, and stakeholders to understand requirements and validate outcomes.
  • Communicates technical concepts clearly to both technical and non-technical audiences.
  • Stays current on emerging AI automation development practices, AI orchestration patterns, LLM tooling, integration frameworks, and service operations trends.

General

  • Demonstrates and actively promotes an understanding and commitment to the mission of Logicalis through behaviors consistent with the organization's values.
  • Maintains a working knowledge of applicable Federal, State, and Local laws and regulations as well as policies and procedures of Logicalis in order to ensure adherence in a manner that reflects honest, ethical, and professional behaviors.
  • Supports and conducts self in a manner consistent with customer service expectations.

Supervisory Responsibilities

This job has no supervisory responsibilities. The role may receive dotted-line technical guidance from senior AI automation resources and may collaborate with other developers, engineers, and process owners.
Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education/Experience/Technical Requirements/Certifications

Equivalent combination accepted.
Education
· Bachelor’s degree in computer science, information technology, software engineering, or related field, or equivalent experience.

Experience / Technical Requirements

  • 5+ years of experience developing automations, integrations, scripts, workflows, or application solutions in enterprise or services environments.
  • Hands-on experience with automation development using tools or languages such as Python, PowerShell, JavaScript, APIs, workflow platforms, or low-code/no-code automation tools.
  • Experience designing or supporting AI-enabled workflows, LLM-driven processes, AI agents, orchestration patterns, or intelligent automation solutions.
  • Understanding of prompt design, structured outputs, human-in-the-loop patterns, guardrails, fallback logic, and practical considerations for production AI use cases.
  • Experience integrating with operational platforms such as ITSM tools, monitoring/observability tools, cloud platforms, ticketing systems, knowledge bases, or internal business applications.
  • Ability to analyze business or operational processes and convert requirements into working automation solutions.
  • Working knowledge of Managed Services operations, ITIL practices, or service management processes is preferred.
  • Experience with cloud environments such as Azure, AWS, or GCP is preferred.
  • Experience with data pipelines, vector databases, embeddings, event-driven workflows, or containerized environments is a plus.
  • Strong troubleshooting skills with the ability to identify root causes, evaluate trade-offs, and implement sustainable fixes.
  • Strong communication and collaboration skills with the ability to work across technical and operational teams.

Certifications
· Certifications related to AI, automation, cloud platforms, ITIL, or service management are preferred but not required.

(Examples may include Microsoft Azure AI Engineer, Azure Administrator Associate, AWS certifications, ITIL Foundation, or relevant automation/platform certifications.)
Other Skills and Abilities

  • Critical thinker with the ability to challenge assumptions, evaluate options, and recommend practical solutions.
  • Curious and current on emerging AI automation development practices, orchestration frameworks, and service operations technology trends.
  • Outcome-oriented mindset focused on measurable efficiency gains, cost avoidance, quality improvement, and operational scalability.
  • Ability to operate as a hands-on developer while collaborating effectively with senior technical resources and business stakeholders.
  • Strong documentation discipline, including solution design, support procedures, ownership details, release notes, and knowledge articles.
  • Ability to manage multiple priorities in a fast-paced environment while maintaining quality and production stability.
  • Comfortable experimenting, learning quickly, failing fast, and iterating toward durable solutions.

Physical Demands

The physical demands described here are representative of those that should be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this Job, the employee is constantly required to sit, talk, see, hear, and use hands and arms. The employee is frequently required to stand; move about, climb steps or balance and stoop, kneel, crouch, or crawl. The employee may occasionally lift and/or move up to 10 pounds.
The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified.
Logicalis is an Equal Opportunity Employer. It is our policy to employ people who are qualified by reason of education, training, experience, and demonstrated performance. We value inclusion and belonging at our company. We do not discriminate on the basis of race, color, religion, national origin, sexual orientation, gender identity and gender expression, marital status, age, height, weight, disability, veteran status, or any other reason prohibited by applicable federal or state laws.
Salary Compensation Range: $77,517 - $100,000/yr.

LogicalisUS Benefits Summary
Originally posted on Himalayas

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