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Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio

Your role and responsibilities

• Solution Architecture & Design

  • Lead the end-to-end architecture design of AI and machine learning solutions, ensuring scalability, performance, and compliance with enterprise standards.

  • Evaluate client requirements and translate them into technical solution blueprints leveraging cloud, data, and AI technologies.

  • Define reference architectures, best practices, and reusable solution components.

• Client Engagement & Advisory

  • Act as a trusted advisor to C-level executives and technical leaders on AI adoption strategies.

  • Present AI solution proposals, including cost-benefit analyses and implementation roadmaps.

  • Bridge the gap between business objectives and AI technology capabilities.

• Technical Leadership

  • Guide teams of data engineers, data scientists, and software developers in implementing AI solutions.

  • Provide expertise in AI model lifecycle management, including data ingestion, training, deployment, monitoring, and governance.

  • Ensure solutions align with AI ethics, responsible AI, and regulatory compliance (e.g., EU AI Act, ISO/IEC 42001).

• Innovation & Ecosystem Building

  • Stay current with emerging AI/ML technologies, frameworks, and industry trends.

  • Drive PoCs (Proof of Concept) and pilots to validate new AI use cases.

  • Build partnerships with cloud vendors, AI platforms, and open-source communities.

Required education

Master's Degree

Required technical and professional expertise

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related fields (PhD is a plus).

• Experience:

  • 8+ years of experience in IT solution architecture, with at least 4 years focused on AI/ML solutions.

  • Proven track record of delivering large-scale AI projects in enterprise environments (banking, healthcare, retail, or manufacturing preferred).

• Technical Skills:

  • Strong proficiency in cloud platforms (AWS, Azure, GCP) and their AI/ML services.

  • Deep understanding of data engineering, ML pipelines, MLOps, and model deployment.

  • Hands-on knowledge of AI frameworks (TensorFlow, PyTorch, Scikit-learn).

  • Familiarity with data governance, security, and compliance frameworks.

• Soft Skills:

  • Excellent communication, stakeholder management, and presentation skills.

  • Ability to lead cross-functional teams and influence decision-making at all levels.

  • Strategic thinker with a strong balance of business and technical perspectives.

Preferred technical and professional experience

• Certifications in cloud architecture (AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect).

• Experience with AI governance standards (ISO/IEC 42001, NIST AI RMF).

• Knowledge of Generative AI, LLMs, and prompt engineering.