обновлено 6 дней назад
AI Automation Engineer
102 300 - 160 820$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Automation Engineer (AI/LLM): Building AI chat assistants, workflow automations, and agentic applications for post-sales customer teams with an accent on prompt engineering, multi-agent architecture, and enterprise AI integrations. Focus on designing human-in-the-loop guardrails, optimizing model and workflow performance, and connecting AI capabilities with Salesforce, data platforms, and broader customer-success systems.
Location: California, United States
Base pay range: USD 102,300–160,820 annually for California excluding the San Francisco Bay Area.
Company
provides human- and agent-centric cybersecurity solutions that protect people, data, and AI workflows across email, cloud, and collaboration tools.
What you will do
- Design, build, and evolve AI chat assistants for Customer Success, Renewals, Technical Account Management, and Managed Services personas.
- Apply prompt engineering, usage data, and user feedback to improve assistant accuracy and reliability.
- Build scheduled and trigger-based AI workflow automations with evaluation logic, downstream actions, and human-in-the-loop checkpoints.
- Optimize AI architecture by modularizing agent workflows, improving data retrieval, and deciding which logic belongs in prompts versus Python code.
- Integrate AI capabilities with MCP, data warehouses, Salesforce, Gainsight/Totango, Clari, Gong, Pendo, Snowflake/Redshift, AWS, and Power BI.
- Build agentic customer-success applications with monitoring, evaluation logic, and safety guardrails for reliable operation at scale.
Requirements
- Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
- 8+ years of professional experience, including at least 2 years focused on AI technologies.
- Proven experience building AI applications with measurable results, including multi-agent systems.
- Strong command of advanced prompt engineering and context construction for reliable model output.
- Working knowledge of Python and experience with enterprise orchestration platforms and LLM platforms such as Anthropic, OpenAI, and Amazon Bedrock.
- Experience in go-to-market or post-sales functions and strong communication skills for explaining AI concepts to business stakeholders.
Nice to have
- Experience with Amazon Quick Automate, UnifyApps, OpenAI Codex, Claude CoWork, or similar tools.
- Familiarity with the broader customer-success technology stack.
Culture & Benefits
- Flexible work environment and a three-week Work from Anywhere option.
- Competitive compensation and comprehensive benefits.
- Flexible time off, two paid Wellbeing Days, and two paid Volunteer Days annually.
- Annual wellness and community outreach days.
- Global collaboration, networking opportunities, and recognition for contributions.
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