出海雷达

Sr. AI Solution Architect

AI开发工程职能支持限定地区(需当地身份)
公司DigiCert
薪资未公开
工作地点US, Remote
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间昨天
数据来源Greenhouse
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关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

我们是谁?迪吉塞尔是一个智能信任的全球领导者。我们通过确保每个互动的安全,隐私和真实性来保护数字世界。我们的人工智能驱动 DigiCert ONE 平台统一了 PKI, DNS 和证书生命周期管理,以保障基础设施,软件,设备,消息,人工智能内容和代理人。了解为什么超过10万个组织,包括 Fortune 500中90%的人选择 DigiCart 来阻止当今的威胁并为量子安全未来做好准备 www.digicert.com 工作总结 你将与各种业务功能 (销售,支持,财务,法律,人力资源,采购,营销)嵌入,了解工作实际上是如何完成的,并构建改变它的 AI 解决方案:自动化的工作流程,我们记录系统上的代理人和人工智能原生工具已经被连接到人们使用的平台中。你在一个子里与高级商业建筑师 (拥有问题框架和商业案例)和从职位的运算者 (拥有采用).你拥有解决方案:设计,建造,启动,测量,反复。这不是研究角色,也不是传统的软件工程。你将通过 CISO 进行访问模型。你将根据企业可以指向的生产价值而测量,而不是试点。你将做什么。嵌入式解决问题和交付。坐在一个函数内完成任务长度。绘制工作流程,找出 AI 消除摩擦或创造容量的地方,并运送修复。拥有每个解决方案从发现到监控产品。一年有三至四次生产启动是条路。自动化,代理人和人工智能原生工具。基于我们的编排和平台层 (Salesforce 和 Agentforce, Microsoft 365 和 Copilot, Slack, AWS 和边界模型 API 以及连接它们的集成工具).设计代理工作流程与检索,工具使用,评估和人-在循环审查内置。在构建定制之前配置和扩展供应商 AI 工具。知道每一个是正确的呼叫时。人工智能基础设施和供应商架构。与 IT,安全和工程合作,为每个生产代理所需的共同基础设计:模式访问,身份和许可证,数据连接,记录和可观察性,评价。领导供应商评估和概念证明的技术方面。转一次性获胜 int

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Who we are

DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com

Job summary

You will embed with various business functions (Sales, Support, Finance, Legal, HR, Procurement, Marketing), learn how the work actually gets done, and build the AI solutions that change it: automated workflows, agents on our systems of record, and AI-native tools wired into the platforms people already use. You work in a pod with a Senior Business Architect (who owns the problem framing and business case) and an operator from the function (who owns adoption). You own the solution: design, build, launch, measure, iterate.

This is not a research role and it is not a traditional software engineering seat. It is the person who can sit in a Finance close review on Monday, prototype an agent against NetSuite and Salesforce data by Wednesday, and walk the CISO through the access model on Friday. You will be measured on production value the business can point to, not pilots.

What you will do

Embedded problem solving and delivery. Sit inside a function for the length of an engagement. Map the workflow, find where AI removes friction or creates capacity, and ship the fix. Own each solution end to end, from discovery through production monitoring. Three to four production launches a year is the bar.

Automation, agents, and AI-native tools. Build on our orchestration and platform layer (Salesforce and Agentforce, Microsoft 365 and Copilot, Slack, AWS and frontier model APIs, and the integration tooling that connects them). Design agent workflows with retrieval, tool use, evaluation, and human-in-the-loop review built in. Configure and extend vendor AI tools before building custom. Know when each is the right call.

AI infrastructure and vendor architecture. Partner with IT, Security, and Engineering to design the shared foundation every production agent needs: model access, identity and permissions, data connectivity, logging and observability, evaluation. Lead the technical side of vendor evaluations and proofs of concept. Turn one-off wins into reusable patterns the next pod can pick up.

Enablement for everyday users. Design the services that help regular employees use AI well: templates, guided workflows, office hours, a path from "I have an idea" to "it runs in production." Coach power users so workflows outlive the person who built them. Success is the business owning and extending what you built.

Intake and governance, the technical half. Serve as the technical reviewer in DigiCert's AI intake and governance process. Assess proposed use cases for data exposure, security posture, and feasibility. Recommend the right build path (vendor tool, configuration, custom). Keep every AI deployment safe, auditable, and inside DigiCert's security and compliance requirements, including FedRAMP-adjacent constraints where they apply.

ROI and measurement. Instrument what you build. Every solution ships with a baseline, a metric, and a dashboard the sponsoring executive can read. Feed results into the company AI measurement program run with the CFO.

First 90 days

  • Days 1 to 30: learn the stack and the governance process. Shadow the current pod. Review in-flight intake requests.
  • Days 31 to 60: ship a first production workflow or agent with the pod.
  • Days 61 to 90: second engagement in flight. First enablement service live (template library, office hours, or guided intake). Present measured results from the first launch to the sponsoring executive.

What great looks like

  • Business leaders ask for you by name because the last thing you built is still running and still measured.
  • You can explain a permissions model to the CISO and a workflow change to a sales rep in the same afternoon.
  • You default to the smallest solution that works, and you know when a vendor tool beats a custom build.
  • You leave behind patterns, documentation, and trained operators, not dependency on you.
  • You treat governance as a design input.

What you will have

  • 5+ years building and shipping technical solutions in a business context: solutions engineering, business systems, integration, automation, or forward-deployed work.
  • 2+ years hands-on with LLM-based systems in production or near-production: agent frameworks, retrieval, tool calling, prompt and evaluation design.
  • Working proficiency in Python or JavaScript and comfort with APIs, webhooks, data pipelines, and authentication (OAuth, SSO, role-based access). You do not need to be a career software engineer, but you need to build and debug without waiting on one.
  • Experience with enterprise platforms: Salesforce, Microsoft 365, NetSuite, Jira, and modern data warehouse.s
  • A track record of working directly with non-technical teams and translating messy processes into working systems.
  • Judgment in security- and compliance-sensitive environments. You know what data cannot leave the building and design accordingly.
  • Clear written and spoken communication. You can write a one-page architecture memo an executive will actually read.

Nice to have

  • Prior forward-deployed, solutions architect, or embedded consulting experience.
  • Hands-on with Agentforce, Copilot Studio, AWS Bedrock, Anthropic or OpenAI APIs, or MCP-based tool integration.
  • Experience with intelligent automation or workflow platforms (Power Automate, Workato, n8n, UiPath).
  • Exposure to SOX, FedRAMP, or similar control environments.
  • Experience in a security or PKI company, or another business where trust is the product.

Benefits

  • Competitive compensation and comprehensive health, dental, and vision coverage
  • Retirement savings programs with company matching (401(k) or RRSP)
  • Generous paid time off, including holidays, and vacation
  • Paid parental leave and family support benefits
  • Life and disability coverage
  • Flexible spending and health savings options (where applicable)
  • Health and wellness support, including gym reimbursement and wellness programs
  • Employee Assistance Program with 24/7confidential support for employees and families
  • Education assistance and professional development opportunities
  • Access to LinkedIn Learning and continuous learning resources
  • Employee referral bonus program and additional company perks and discounts
  • Internal rewards and recognition platform (Motivosity) to celebrate and acknowledge project wins, milestone achievements, and the outstanding contributions of our colleagues
  • Business travel insurance and global employee support programs

To protect candidate information and maintain a secure hiring process, all applications must be submitted through our careers portal. Resumes or CVs sent directly via email will not be reviewed or considered.

DigiCert is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, DigiCert prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified person with disabilities, and protected veterans are strongly encouraged to apply.

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Compensation Transparency:

The total on-target earnings (OTE) for this role, including base salary and variable incentive compensation (at 100% target performance), are outlined below.

Each candidate’s compensation offer will be determined based on factors including experience, skills, qualifications, performance expectations, business needs, and location. Actual earnings may vary based on individual performance. This role may also be eligible for additional compensation and benefits, which will be discussed during the hiring process.

We are committed to fair and transparent pay practices and comply with all applicable pay transparency requirements. If you would like more information about compensation or benefits, we are happy to provide additional details during the hiring process.

For more information regarding our comprehensive benefits, see the benefits section.

OTE
$170,500—$220,000 USD

Base Salary
$155,000—$200,000 USD

Incentive Compensation
$15,500—$20,000 USD

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