
Forward Deployed AI Engineer (Retail & CPG) | US, Remote
C&D Talent Advisory - Academy · Seattle, WA
- Hybrid
- Full-time
- $150,000 / year
- Seattle, WA
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Subject: Interested in the Forward Deployed AI Engineer (Retail & CPG) | US, Remote role at C&D Talent Advisory - Academy
Hi Taylor — I came across the Forward Deployed AI Engineer (Retail & CPG) | US, Remote opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and C&D Talent Advisory - Academy stood out because…
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Job highlights
- Deploy AI solutions directly to enterprise clients.
- Analyze workflows and improve business processes.
- Utilize LLMs, agent frameworks, and prompt engineering.
- Build integrations with APIs, SQL, Python, JavaScript.
- Shape US market entry with high autonomy.
About the role
About Our Client
Our Client is building AI agents that automate and improve complex business workflows across enterprise organizations. As the company expands into the United States, they are seeking a Forward Deployed AI Engineer to work directly with customers, deploy AI-powered solutions, improve operational processes, and drive measurable business outcomes. This is a highly strategic hire and one of the company's top priorities as they establish their US presence.
Key Responsibilities
- Partner directly with customers from implementation through expansion.
- Analyze and map operational workflows.
- Identify opportunities for automation and process improvement.
- Redesign inefficient processes before automation.
- Configure and deploy AI agents into customer environments.
- Translate business requirements into agent logic and decision frameworks.
- Build integrations using APIs, webhooks, SQL, Python, JavaScript, and enterprise systems.
- Develop scripts, prototypes, and workflow automations.
- Troubleshoot deployments and optimize production performance.
- Lead customer workshops and working sessions.
- Build trusted relationships with technical and business stakeholders.
- Create reusable implementation assets, templates, and deployment frameworks.
- Collaborate closely with Product and Engineering teams to improve future deployments.
Required Qualifications
- 5+ years of experience in customer-facing technical roles.
- Proven experience deploying AI or automation solutions into real customer environments.
- Background in Forward Deployed Engineering, Solutions Engineering, Applied AI Engineering, Technical Consulting, or Enterprise Automation Delivery.
- Hands-on experience with LLMs, Agent frameworks, Prompt engineering, Retrieval systems, and AI deployment workflows.
- Strong experience with SQL, Python and/or JavaScript, APIs, JSON, Webhooks, and Enterprise integrations.
Nice to Have
- Experience at AI-native companies.
- Previous Forward Deployed Engineering or Solutions Engineering experience.
- ERP implementation or integration experience.
- Technical consulting experience focused on AI or automation.
- Additional European language skills.
- Experience building internal AI-powered operational tools.
What We Offer
- Competitive compensation package.
- Meaningful equity participation.
- Opportunity to help establish the company's US presence.
- Direct customer and product impact.
- High-autonomy and high-ownership environment.
- Exposure to cutting-edge AI technologies.
- Fast-moving and entrepreneurial culture.
If you're excited about solving real business problems with AI and enjoy working directly with customers to create measurable impact, we'd love to hear from you.
Key skills/competency
- Forward Deployed AI Engineer
- AI Agents
- Customer Facing Technical Roles
- AI Deployment
- LLMs
- Prompt Engineering
- SQL
- Python
- JavaScript
- APIs
Skills & topics
- Forward Deployed AI Engineer
- AI Engineer
- AI
- LLM
- Agent Frameworks
- Prompt Engineering
- Customer Facing
- Solutions Engineering
- Python
- SQL
- Remote
- US
- Retail
- CPG
- Automation
How to get hired
- Tailor your resume: Highlight customer-facing experience, AI/automation deployment, and specific technologies like LLMs, Python, and SQL.
- Showcase relevant projects: Detail your experience with agent frameworks, prompt engineering, and building integrations.
- Prepare for technical interviews: Brush up on Python, SQL, API integration, and AI deployment workflows.
- Demonstrate customer focus: Be ready to discuss how you've partnered with clients to solve problems and drive outcomes.
- Research the company: Understand their mission to automate business workflows with AI agents.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of a Forward Deployed AI Engineer at this company?
- The primary focus is to work directly with enterprise clients in the US to deploy AI-powered solutions, improve their operational workflows, and achieve measurable business outcomes. This role involves a blend of technical implementation, customer consulting, and process optimization.
- What are the key technical skills required for the Forward Deployed AI Engineer role?
- Key technical skills include hands-on experience with Large Language Models (LLMs), agent frameworks, prompt engineering, retrieval systems, and AI deployment workflows. Strong proficiency in SQL, Python, JavaScript, APIs, JSON, and webhooks for building integrations is also essential.
- What does 'Forward Deployed' mean in the context of this AI Engineer position?
- 'Forward Deployed' signifies a role that operates at the customer's site (or virtually, in this remote case) to implement and customize solutions. It involves deep engagement with clients to ensure successful adoption and integration of AI technologies into their existing business processes.
- How does the company support its Forward Deployed AI Engineers?
- The company offers a high-autonomy and high-ownership environment, exposure to cutting-edge AI technologies, and a competitive compensation package with meaningful equity. Engineers collaborate closely with Product and Engineering teams to shape future deployments.
- What is the expected career growth for a Forward Deployed AI Engineer?
- Given the company's expansion and the strategic importance of this role, there's a significant opportunity for career growth. You'll be instrumental in establishing the company's US presence, potentially leading to roles with increased responsibility in customer success, technical leadership, or product development.
- Is experience with specific AI frameworks crucial for this Forward Deployed AI Engineer role?
- Yes, hands-on experience with LLMs, agent frameworks, prompt engineering, and retrieval systems is a required qualification. Demonstrating practical application of these technologies in real-world customer environments is key.
- How does the company approach customer engagements for AI solutions?
- The company partners directly with customers from implementation through expansion, analyzing operational workflows, identifying automation opportunities, and redesigning processes. This involves leading customer workshops and building trusted relationships with stakeholders.
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