Your role and responsibilities
Your primary responsibilities will include:
- Client Strategy Design: Creating client strategies for Data & AI infrastructure.
- Solution Definition: Defining IBM Data & AI solutions that enhance technology stacks.
- Educational Support: Providing proof of concepts and simplifying complex topics to educate clients.
- Credibility Building: Establishing credibility and trust to facilitate the closure of intricate Cloud tech deals.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- Cutting-Edge Data Architecture (Lakehouse, Data Fabric) & Integration
- Engineer and optimize advanced data ecosystems that unify transactional and analytical workloads—leveraging Lakehouse concepts (e.g., Delta Lake, Databricks) to streamline data access.
- Adopt Data Fabric or Data Mesh approaches for seamless data discovery, governance, and orchestration across distributed environments.
- Deep ML & AI Expertise
- Own the end-to-end model lifecycle—from rapid prototyping in TensorFlow, or PyTorch to productionizing advanced AI techniques like NLP.
- Continuously explore new frameworks and methodologies, pioneering innovative solutions that push Data and AI boundaries.
- Proficiency in MLOps & Lifecycle Management
- Implement CI/CD pipelines with tools like MLflow or Kubeflow, ensuring automated model retraining, performance tracking, and timely updates.
- Enabling ML solutions to deliver consistent, measurable outcomes solutions.
- Cloud & Infrastructure Mastery (Highly Valued Plus)
- Leverage AWS, Azure, or Google Cloud to build secure, scalable AI solutions; utilize microservices, Docker, and Kubernetes for agility and efficiency.
- Apply DevOps and DataOps best practices to accelerate deployments and optimize solution performance in production.
- Hands-On Innovation & Consultative Solution Selling
- Rapidly build proofs-of-concept (POCs) to showcase real-world ROI, fueling stakeholder excitement and fast-tracking decisions.
- Translate complex data and AI capabilities into compelling, results-oriented narratives—guiding clients from initial discovery to successful implementation.
- Collaborate seamlessly with both technical and executive teams to ensure maximum ROI and enable transformative digital outcomes.
Preferred technical and professional experience
- Data Governance & Security Leadership
- Architect data solutions aligned with evolving regulations (GDPR, HIPAA, etc.), embedding robust governance into every layer of the data pipeline.
- Promote ethical data usage and proactive risk management, instilling trust and transparency across all stakeholders.
- Cloud & Infrastructure Mastery (Highly Valued Plus)
- Leverage AWS, Azure, or Google Cloud to build secure, scalable AI solutions; utilize microservices, Docker, and Kubernetes for agility and efficiency.
- Apply DevOps and DataOps best practices to accelerate deployments and optimize solution performance in production.
