AI/ML Enablement Lead Engineer

Jobtailor; Illinois; On-site; USD 130,000 - 170,000; Full time

Job summary

Jobtailor seeks an experienced AI/ML engineer to bridge business needs with our AI platform, delivering impactful AI use cases. You will embed within business lines, translate requirements into scalable designs, and guide LLM/RAG-enabled solutions across architecture and tooling.

Collaboration with engineering and stakeholders is essential for secure, compliant, scalable delivery. You will champion enterprise AI adoption, drive standardization, and accelerate delivery while navigating access and

Qualifications

• 6+ years in software engineering, AI/ML engineering, or solution engineering.
• Hands-on experience with Generative AI, LLMs, and RAG.
• Strong Python skills and API/microservices know-how.
• Experience with Azure and/or AWS cloud platforms.
• Familiarity with Kubernetes and modern engineering environments.
• Ability to design and guide enterprise AI solutions.
• Excellent cross-functional communication with stakeholders.
• Proven trouble-shooting, blockers removal, and delivery acceleration.

Responsibilities

• Serve as liaison between business teams and the AI platform team.
• Embed within a business line to drive AI use case delivery.
• Translate business needs into technical requirements and designs.
• Guide implementation of AI solutions using LLMs, RAG, and related tech.
• Provide hands-on guidance across architecture, tooling, and platform capabilities.
• Unblock AI initiatives by resolving access, tooling, and process challenges.
• Partner with engineering to ensure scalable, secure, compliant implementations.
• Communicate priorities, timelines, and constraints across stakeholders.
• Drive adoption of enterprise AI platforms and best practices.
• Contribute to standardization and scaling of AI solutions.

Skills

Python

API-based architecture

Microservices

Generative AI

LLMs

RAG

Cloud platforms

Azure

AWS

Kubernetes

Communication skills

Cross-functional collaboration

Troubleshooting

Problem-solving

Stakeholder management

Guidance

Delivery acceleration

Prioritization

Timelines management

Standardization

Tools

Python

API

microservices architecture

Job description

Responsibilities

• Serve as the primary liaison between business teams and the AI platform team
• Embed within a business line to drive delivery of AI use cases
• Translate business needs into technical requirements and solution designs
• Guide implementation of AI solutions leveraging LLMs, RAG, and related technologies
• Provide hands‑on technical guidance across architecture, tooling, and platform capabilities
• Unblock and accelerate AI initiatives by resolving access, tooling, and process challenges
• Partner with engineering teams to ensure scalable, secure, and compliant implementations
• Communicate priorities, timelines, and constraints across stakeholders
• Drive adoption of enterprise AI platforms and best practices
• Contribute to standardization and scaling of AI solutions across the organization

Requirements

• 6+ years of experience in software engineering, AI/ML engineering, or solution engineering
• Hands‑on experience with Generative AI technologies, including LLMs and RAG
• Strong proficiency in Python and API-based or microservices architecture
• Experience with cloud platforms (Azure and/or AWS)
• Familiarity with Kubernetes and modern engineering environments
• Ability to design and guide implementation of AI solutions in enterprise systems
• Strong communication skills with experience working cross-functionally with business stakeholders
• Proven ability to troubleshoot issues, remove blockers, and accelerate delivery

Hard Skills

• Python
• API
• microservices architecture
• Generative AI
• LLMs
• RAG
• cloud platforms
• Azure
• AWS
• Kubernetes

Soft Skills

• communication
• cross-functional collaboration
• troubleshooting
• problem-solving
• stakeholder management
• guidance
• delivery acceleration
• prioritization
• timelines management
• standardization