Designs and drives deployment of GPU-accelerated AI factories and high-performance computing infrastructure, partnering with AI specialists and ecosystem partners to shape end-to-end solutions for clients. Focuses on technical solution strategy, architecture, and pre-sales for private AI assets.

Senior AI Engineer / Solutions Architect role focused on designing and deploying robust AI infrastructure and deployment services for machine learning applications. The role involves working cross-functionally to leverage advanced technical skills in modern data architecture, data science engineering, and data transformation, using cloud or on-prem technologies. Key responsibilities include designing scalable data architecture solutions for AI/GenAI use cases, supporting data pipelines, defining database schemas, and leading technology proof of concepts. The role also emphasizes adopting best engineering practices in automation, HPC, and AI/GenAI infrastructure, with a consultative, platform-agnostic approach.

Consultant role focused on implementing and optimizing the Databricks platform for clients, covering data engineering, data analytics, and machine learning model deployment. Requires hands-on expertise in Databricks, cloud platforms (AWS, Azure, GCP), SQL, Python, and Apache Spark.

Senior Databricks Consultant role focused on designing and deploying enterprise solutions on the Databricks Platform, encompassing data engineering, data science, and business intelligence. The role involves architecting and implementing advanced solutions from data pipelines to AI/ML models, advising clients on data strategy, and mentoring junior team members. Experience with Databricks suite, cloud ecosystems, and MLOps principles is required.

This role focuses on securing AI and Machine Learning solutions on the Microsoft Azure platform, including implementing security for Azure AI Services, designing security playbooks for AI models, developing secure CI/CD pipelines for AI model deployment, and automating security guardrails. It involves a strong security focus within an enterprise consulting context.

Senior Consultant role focused on AI & Data Risk Management within the Financial Services industry. Responsibilities include delivering data-driven solutions, integrating technologies like ML and GenAI, developing data pipelines, and conducting technical analysis. Requires experience in data architecture, management, or engineering, with a strong background in financial services or fintech.