Director – AI & Data Architecture (Pre-Sales & Solutioning)

About the role

We're looking for a client-facing AI & Data Architecture leader to help shape and win large-scale digital transformation opportunities. In this role, you'll partner with executives, sales teams, and delivery leaders to design innovative AI and data solutions that solve complex business challenges. You'll combine deep technical expertise with strong consulting and commercial skills—leading discovery sessions, developing enterprise architectures, supporting strategic pursuits, and guiding clients through AI and data modernization initiatives. This is an excellent opportunity for someone who enjoys influencing enterprise strategy while remaining hands-on with modern cloud and AI technologies.

Responsibilities

• Lead AI & Data Solutioning
• Partner with sales and account teams to qualify and shape AI and data transformation opportunities.
• Lead technical solutioning for enterprise pursuits ranging from strategic initiatives to large multi-million-dollar engagements.
• Facilitate executive workshops, discovery sessions, and AI strategy discussions.
• Translate business challenges into scalable technical solutions and implementation roadmaps.
• Architect Modern Data Platforms
• Design enterprise solutions leveraging technologies such as: AWS, Azure, or Google Cloud Snowflake Databricks Data Lakes & Lakehouse Architectures Data Warehousing ETL/ELT Pipelines Streaming Data Platforms Data Governance & Master Data Management
• Drive AI Innovation
• Design and architect solutions utilizing: Generative AI Agentic AI Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) AI Assistants Machine Learning Intelligent Automation
• Evaluate emerging technologies and build reusable AI accelerators, reference architectures, and best practices.
• Client Engagement
• Serve as a trusted advisor to executive stakeholders.
• Present solution strategies and technical recommendations to business and technology leaders.
• Support proposal development, RFP responses, and executive presentations.
• Partner with delivery teams to transition solutions into successful implementation.
• Mentor architects and engineers across the AI and Data practice.
• Promote architecture standards, governance, and engineering best practices.
• Foster innovation and continuous learning throughout the organization.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 12+ years of experience in Data, Analytics, or Cloud Architecture.
• 5+ years designing enterprise AI or cloud-based data solutions.
• Experience supporting pre-sales, consulting, or solution architecture engagements.
• Strong expertise with AWS, Azure, or Google Cloud.
• Hands-on experience with Snowflake and modern cloud data platforms.
• Experience designing scalable ETL/ELT, analytics, and data integration solutions.
• Knowledge of modern AI technologies including Generative AI, LLMs, Agentic AI, and RAG architectures.
• Strong understanding of data governance, security, and enterprise architecture principles.
• Excellent communication and executive presentation skills.

Preferred Experience

• Experience with one or more of the following: Azure OpenAI AWS Bedrock Google Vertex AI Databricks Snowflake Cortex Python, SQL, Spark, or Java Power BI, Tableau, or Microsoft Fabric
• Industry experience in Financial Services, Insurance, Healthcare, Manufacturing, Retail, or Energy is preferred.
• Cloud and AI certifications are a plus.