ERP AI Engineer – Manager

Jobtailor; Illinois; On-site; USD 180,000 - 250,000; Full time

Job summary

Jobtailor is seeking a senior AI/ML leader to guide and mentor teams of data scientists and ML engineers, translating complex business challenges into AI-driven strategies and architectures. You will manage client relationships, drive innovative engagements, and ensure high quality deliverables.

Strong background in large language models, MLOps, and cloud-native deployments is expected, with a focus on responsible AI practices.

Qualifications

• Bachelor's degree in a technical field.
• 7+ years of experience in AI/ML engineering, data science, or related technical role.
• Master's degree preferred in CS/AI/DS/SE or related field.
• Experience with Large Language Models and prompt engineering.
• Building scalable, cloud-native microservices and containerized deployments.
• Proficiency with MLOps tooling and CI/CD pipelines for ML.
• Experience with vector databases and semantic search architectures.
• Translating complex business problems into AI solution designs.
• Contributing to business development and proposal writing.
• Cloud certifications in AI/ML or solutions architecture preferred.
• Familiarity with Responsible AI principles and bias mitigation practices.

Responsibilities

• Lead and mentor teams of data scientists and ML engineers.
• Manage client relationships and promote satisfaction with deliverables.
• Translate intricate business challenges into AI-driven strategies.
• Design and implement AI solution architectures.
• Drive innovation and excellence in client engagements.
• Analyze data to derive actionable insights and solutions.
• Collaborate with stakeholders to align on project objectives.
• Uphold exceptional standards of quality and integrity in every task.

Skills

AI/ML Engineering

Large Language Models

MLOps Tooling

Cloud-Native Microservices

Prompt Engineering

Semantic Search Architectures

CI/CD Pipelines

Education

Bachelor's Degree

Master's Degree in CS/AI/DS/SE

Tools

Vector Databases

Containerized Deployments

CI/CD Tooling for ML

Job description

• Lead and mentor teams of data scientists and ML engineers
• Manage client relationships and promote satisfaction with deliverables
• Translate intricate business challenges into AI-driven strategies
• Design and implement AI solution architectures
• Drive innovation and excellence in client engagements
• Analyze data to derive actionable insights and solutions
• Collaborate with stakeholders to align on project objectives
• Uphold exceptional standards of quality and integrity in every task

Requirements

• Bachelor's Degree
• At least 7 years of experience in AI/ML engineering, data science, or a related technical role
• Master's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field preferred
• Experience with Large Language Models and prompt engineering
• Building scalable, cloud-native microservices and containerized deployments
• Proficiency with MLOps tooling and CI/CD pipelines for ML
• Experience with vector databases and semantic search architectures
• Translating complex business problems into AI solution designs
• Contributing to business development and proposal writing
• Cloud certifications in AI/ML or solutions architecture preferred
• Familiarity with Responsible AI principles and bias mitigation practices

Core Competencies

Demonstrates expertise in AI/ML engineering and data science, with a strong focus on designing AI solution architectures and managing client relationships. Proven ability to lead teams, drive innovation, and uphold quality standards in project execution.

Highest-signal resume keywords

• AI/ML Engineering
• Large Language Models
• MLOps Tooling
• Cloud-Native Microservices
• Responsible AI Principles

ATS Optimization Keywords

Hard Skills

• Data Science
• AI Solution Architecture
• Prompt Engineering
• Semantic Search Architectures
• CI/CD Pipelines

Soft Skills

• Team Leadership
• Client Relationship Management
• Collaboration
• Business Development

Certifications & Qualifications

• Bachelor's Degree
• Master's Degree in Computer Science
• Cloud Certifications in AI/ML

Industry Keywords

• AI-Driven Strategies
• Bias Mitigation Practices
• Quality Standards
• Actionable Insights

Tools & Technologies

• Vector Databases
• Containerized Deployments