Solution Architect - Data & AI (Remote)

About the Role

We are seeking a Solution Architect - Data & AI to lead the design and delivery of scalable, secure, and high-performance data and AI solutions. This remote Solution Architect position is crucial in shaping our modern data ecosystem, including cloud data platforms, advanced analytics, machine learning, and enterprise data integration strategies.

What You'll Do

• Architect end-to-end data and AI solutions across cloud platforms (Azure, AWS, or GCP), including data ingestion, processing, storage, analytics, and ML/AI services.
• Lead the design of modern data Lakehouse architectures, data warehouses, and real-time analytics pipelines using tools such as Databricks, Synapse, Azure Data Factory, and Power BI.
• Define AI/ML solution frameworks, including feature stores, model lifecycle management, and responsible AI practices.
• Partner with business and technology stakeholders to understand strategic goals and translate them into scalable technical solutions.
• Ensure all solutions comply with data governance, privacy, and regulatory requirements (e.g., GDPR, HIPAA).
• Guide enterprise adoption of emerging AI technologies, including Generative AI, NLP, and predictive analytics.
• Provide technical oversight during solution implementation, ensuring best practices in DevOps, CI/CD, infrastructure as code (IaC), and monitoring.
• Mentor technical teams and enable knowledge transfer through architecture diagrams, documentation, and working sessions.

Requirements

• 8+ years of experience in data architecture, data engineering, or AI/ML solution design.
• Proven success delivering cloud-native data platforms and AI solutions (Azure preferred).
• Hands-on experience with tools like Azure Data Factory, Synapse Analytics, Databricks, Power BI, SQL, Python, and Spark.
• Experience with machine learning workflows, MLOps, and integration into production environments.
• Strong understanding of data governance frameworks, metadata management, and security best practices.
• Excellent communication and presentation skills; ability to engage both technical and non-technical stakeholders.

Nice to Have

• Experience deploying Generative AI / LLM-based solutions using Azure OpenAI, LangChain, or similar frameworks.
• Knowledge of Microsoft Purview, Unity Catalog, or similar data cataloging/governance tools.
• Certifications such as Azure Solutions Architect Expert, DP-203, or AI-102 are a strong plus.
• Experience in regulated industries (healthcare, energy, financial services) a plus.

What We Offer

• Opportunity to shape enterprise-scale solutions with meaningful business impact.
• Collaborative environment with technical autonomy.
• Ongoing professional development and certifications in cloud and AI technologies.
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.