Forward Deployed AI Engineer

IFS

Forward Deployed AI Engineer delivering custom AI solutions directly to enterprise customers. Handling design and deployment of intelligent agents across customer workflows for real-world problem solving.

Posted 7/1/2026full-timeRemote • Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML frameworks and Python programming to develop and implement AI Agent solutions for enterprise customers. Proven ability to integrate systems, troubleshoot deployments, and collaborate effectively with cross-functional teams to enhance user adoption and performance.

Highest-signal resume keywords

Python ProficiencyAI/ML Frameworks KnowledgeLLM Application DevelopmentAPI Integration ExperienceStrong Interpersonal Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI/ML FrameworksOpenAIHugging FaceLangChainPineconeWeaviateAPI IntegrationMiddlewareConversational AI Workflows

Soft Skills

Interpersonal SkillsOwnershipContinuous LearningBias Toward Action

Tools & Technologies

IFS LoopsSalesforceServiceNowSAPOracle

Industry Keywords

AI AgentComplex WorkflowsCustomer InsightsTechnical SolutionsUser Adoption

Tech Stack

Tools & technologies

OraclePythonServiceNow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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