Associate Reliability Engineer Jobs in Atlanta, GA

Job Summary:
Manhattan Associates is a company that connects two billion people to consumer choices through their supply chain commerce technology. They are seeking a Principal AI Engineer to design and develop advanced artificial intelligence systems that support business goals, drive AI initiatives, and mentor teams in adopting AI solutions.
Responsibilities:
• Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.
• Lead development of machine learning, deep learning, and generative AI models for production environments.
• Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.
• Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.
• Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.
• Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions
• Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.
• Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.
Qualifications:
Required:
• 7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.
• 3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.
• Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as Microsoft Copilot, Glean, and Google Agentspace.
• Deep knowledge of: Machine Learning (classification, regression, clustering, recommendation systems), Deep Learning (CNNs, RNNs, Transformers, GANs), Natural Language Processing (BERT, GPT, LLM fine-tuning), Computer Vision (YOLO, ResNet, object tracking, OCR).
• Expertise in: Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face), Data engineering and pipeline development (Airflow, Spark, ETL systems), MLOps, model lifecycle management, and production-grade deployment, Cloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes).
• Track record of scaling ML models from experimentation to production across teams or business units.
• Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.
• Demonstrated ability to set research and development direction based on business needs.
• Possesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments.
• 3+ years experience interfacing and partnering with vendors.
• 3+ years experience assisting in strategy/roadmap and planning.
• Strong communication skills and ability to communicate at all levels of the organization (technical and business).
• 2+ years experience leading/mentoring more junior staff members.
• Highly self-motivated, directed, ability to work independently and be results-driven.
• 5+ years experience with SharePoint for document management and sharing.
• 5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA).
• 3+ years experience in agile/waterfall software delivery methodologies.
• 3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar.
• 5+ years experience working with small, geographically distributed teams.
• 5+ years experience working both independently and in a team oriented, collaborative environment.
• Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs.
• Bachelor’s degree or foreign equivalent in computer science, engineering or related field or equivalent work experience.
Company:
Manhattan Associates is a producer of supply chain omni-channel products. Founded in 1990, the company is headquartered in Atlanta, USA, with a team of 1001-5000 employees. The company is currently Late Stage.