Kyndryl
Data&AIArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data & AI Architect at Kyndryl. Skills: Data & AI Solutions, Cloud-native data platforms, Machine Learning Architecture, Generative AI. Lead architecture, design, implementation of data and AI platforms. Define end-to-end architectures”
What You'll Achieve.
Ensure architectural integrity; Ensure technical excellence; Ensure successful delivery; Create scalable platforms and AI systems aligned with client objectives; Automate and scale ML/AI workloads; Enhance delivery efficiency
Industry & Context.
Excellent problem-solving skills; Troubleshooting complex distributed systems
Work with Kyndryl stakeholders in other Canadian provinces, the United States, or internationally, Fluency in French
What They're Looking For.
Must Have
8+ years of experience designing and implementing data and AI solutions, Proven expertise building cloud-native data platforms on Azure, AWS, or GCP, hands-on experience with Spark, Databricks, Snowflake, Synapse, BigQuery, or Redshift, hands-on experience with Airflow, Data Factory, Glue, or similar, hands-on experience with Python, TensorFlow, PyTorch, scikit-learn, Azure ML, SageMaker, Vertex AI, hands-on experience with LLM integration, RAG, vector databases, prompt engineering, hands-on experience with MLflow, Kubeflow, or similar, foundation in data architecture, governance, and security best practices, Demonstrated ability to lead or oversee technical delivery teams, Excellent problem-solving and collaboration skills, Knowledge of the English language
Nice to Have
Certifications in one or more cloud platforms (Azure Solutions Architect, AWS Data Analytics, or GCP Professional Data Engineer), Experience integrating data and AI platforms with enterprise applications and APIs, Knowledge of containerization and orchestration (Docker, Kubernetes), Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
What You'll Do.
implementation of data and AI platforms
Define end-to-end architectures
Establish architectural standards
Provide technical direction and mentorship
Design and oversee modern data platforms
Define and implement data architectures
Lead data integration
Guide teams on data quality
lineage best practices
Architect and implement machine learning and AI systems
Apply MLOps and LLMOps principles
Design solutions leveraging Generative AI
Integrate AI models with enterprise systems
Provide technical oversight across technology domains
Collaborate with infrastructure and cloud teams
Lead troubleshooting and performance optimization
Evaluate emerging tools and architectures
Create reusable frameworks
Mentor technical teams
How You'll Work.
Team & Collaboration
Work closely with senior architects, engineers, and delivery teams; Collaborate with infrastructure and cloud teams; Work across disciplines and technologies; Mentor technical teams, fostering a culture of innovation, quality, and collaboration
Full Job Description
**Who We Are** At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. **The Role** **The Role** We are seeking a **Data & AI Architect** to provide deep technical leadership across modern data and AI engagements. In this role, you will **design, build, and guide implementation of enterprise-grade data and AI solutions** , ensuring architectural integrity, technical excellence, and successful delivery. You will work closely with senior architects, engineers, and delivery teams to create scalable platforms and AI systems that are both technically sound and aligned with client objectives. This is a **hands-on technical leadership role** for someone who thrives in designing complex architectures, mentoring teams, and bridging across data, AI, and cloud technologies. **Key Responsibilities** **Architecture Design & Technical Leadership** * Lead the **architecture, design, and implementation** of enterprise data and AI platforms using cloud-native and hybrid architectures. * Define end-to-end architectures that span **data ingestion, storage, processing, analytics, ML/AI, and governance**. * Establish architectural standards, patterns, and reference models for data modernization and AI enablement. * Provide **technical direction and mentorship** to data engineers, ML engineers, and solution developers. **Data Platform Engineering** * Design and oversee **modern data platforms** using technologies such as Databricks, Snowflake, Synapse, BigQuery, and Azure Data Lake. * Define and implement data architectures (data la
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