Senior Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Forward Deployed Engineer (AI/AWS): Building and deploying production-grade AI agents, RAG pipelines, and LLM-native applications for enterprise clients with an accent on end-to-end account ownership and technical architecture. Focus on translating ambiguous business requirements into scalable software and managing the full delivery lifecycle from discovery to close.
Location: Remote (Must be based in Mexico). This role may require up to 50% travel depending on business needs.
Company
is an AI-first cloud services company and AWS Premier Tier Services Partner that helps organizations move AI from experimentation into production.
What you will do
- Own the full client relationship on your account from initial discovery through project close.
- Architect and build production-grade AI systems, including agents and data products, tailored to client constraints.
- Translate ambiguous business problems into scoped, deliverable technical work and manage stakeholder interviews.
- Identify and mitigate scope creep while surfacing opportunities for account expansion.
- Develop and transfer maintainable software and automations that remain functional after engagement.
- Contribute reusable patterns, templates, and components back to the internal AI practice.
Requirements
- 5+ years of engineering or technical delivery experience, with significant time in client-facing contexts.
- Proven track record of owning solo account delivery from kickoff to close without supervision.
- Hands-on depth in LLM application development, cloud-native architecture (AWS preferred), or backend systems at scale.
- Ability to make independent technical decisions and manage delivery quality within client environments.
- Strong communication skills, capable of interacting precisely with engineers and confidently with VP-level leadership.
- Must be based in Mexico; no visa sponsorship is provided now or in the future.
Nice to have
- Experience building production AI systems (RAG pipelines, agents, fine-tuned models).
- Hands-on experience with Claude, AWS Bedrock, prompt architecture, and tool use.
- Background in management consulting, systems integration, or professional services.
- AWS certifications: Solutions Architect Professional or DevOps Engineer Professional.
- Familiarity with automation tools like Zapier, Power Automate, Airtable, or enterprise systems like Salesforce and Workday.
Culture & Benefits
- 100% remote work environment.
- Medical insurance for employees and eligible dependents.
- Generous holidays, flexible PTO, and phantom equity.
- Stipends for equipment, home office setup, and annual Learning and Development.
- Paid certification exams and peer bonus awards.
- Individual professional development plans within a worldwide team.
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