Forward Deployed AI Engineer

IFS • Palo Alto, CA

15h • $150,000 - $170,000

About The Position

As a Forward Deployed AI Engineer, you’ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You’ll lead the design and deployment of intelligent agents across customer workflows—owning everything from discovery and prototyping to configuration, testing, and launch. This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer’s needs—ensuring rapid value delivery and laying the foundation for long-term success.

Requirements

• 2–5 years of experience in a software engineering, solutions engineering, or ML deployment role
• Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)
• Familiarity with building LLM applications, RAG systems, or conversational AI workflows
• Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)
• Ability to translate business problems into technical solutions—and deliver them fast
• Strong interpersonal skills; you’re just as comfortable on a whiteboard with a customer as you are in code
• Bias toward action, ownership, and continuous learning in dynamic environments

Nice To Haves

• Background in SaaS, customer experience, support operations, or manufacturing systems
• Experience deploying AI in mission-critical environments
• Prior work with enterprise AI platforms or multi-agent orchestration

Responsibilities

• Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows
• Integrate IFS Loops platform with customer systems
• Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)
• Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
• Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap
• Document technical decisions and hand off stable deployments to customer engineering or support teams

Benefits

• Flexible paid time off, including sick and holiday
• Medical, dental, & vision insurance
• 401K with Company contribution
• Flexible spending accounts
• Life insurance and disability benefits
• Tuition assistance
• Community involvement and volunteering events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees