AI Engineer – Partner Ecosystem
Company: IBM
Education: Bachelor's Degree

Job Introduction

At IBM, work is more than just a job – it's a calling to innovate, solve complex challenges, collaborate across ecosystems, and drive technology that transforms the world. As an AI Engineer in the Partner Ecosystem, you will bridge the gap between IBM’s cutting-edge AI capabilities and its partner network to enable scalable, responsible AI adoption.

Key Responsibilities

Partner Enablement & AI Adoption

• Educate partners on AI frameworks, tools, and best practices.
• Conduct workshops, webinars, and training sessions.
• Provide guidance for AI/ML integration and optimization in partner solutions.

AI Solution Development & Integration

• Collaborate with partners to design and implement AI-powered solutions.
• Integrate AI models (ML, NLP, CV) into partner platforms.
• Ensure scalability, performance, and compliance of AI deployments.

Technical Support & Troubleshooting

• Offer hands-on support throughout AI development and deployment cycles.
• Resolve AI-related issues and collaborate with internal AI teams for resolutions.

Collaboration & Relationship Management

• Act as the key liaison between IBM’s AI teams and external partners.
• Understand partner needs and align AI strategies with business objectives.
• Collect feedback to improve AI offerings and partner experiences.

AI Research & Innovation

• Stay current with AI trends, tools, and models (e.g., LLMs, GenAI).
• Experiment and innovate with emerging AI capabilities.
• Contribute to advancing IBM’s AI ecosystem.

Compliance, Ethics & Responsible AI

• Promote ethical and responsible AI practices.
• Guide partners on AI governance, fairness, data privacy, and transparency.

Required Technical Skills

• AI/ML Frameworks: Proficient in large-scale models including LLMs, GenAI, RL.
• Programming: Expert in Python; experience with APIs, SDKs, DevOps/MLOps.
• Cloud & Deployment: Knowledge of Kubernetes, Docker, serverless AI deployments.
• Data Engineering: Proficient in Spark, Hadoop, Databricks, SQL/NoSQL, GraphDBs.
• AI Monitoring: Experience with observability, explainability, and performance tuning tools.

Preferred Skills

• Hands-on experience in Generative AI, Deep Learning, and Data Science.
• Proficiency in TensorFlow, PyTorch, and cloud AI platforms (AWS, Azure, GCP).
• Strong cross-functional collaboration and communication skills.
• Experience deploying AI models using MLOps and optimizing for edge/cloud.

Join IBM to shape the future of AI and enable a global network of partners to innovate responsibly, at scale.