Data & AI Solutions Architect

CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.

Position Overview: 

The Senior Data & AI Solutions Architect will be a pivotal, client-facing role responsible for designing, selling, and delivering cutting-edge data and AI solutions. This individual will serve as a trusted advisor to cbts clients, guiding them through complex data transformations from strategic conceptualization to hands-on implementation and adoption. The role demands a unique blend of deep technical proficiency in cloud data platforms, strong architectural acumen, advanced analytical capabilities, and exceptional communication skills to translate intricate technical concepts into tangible business value. This is a highly billable role, requiring a consistent focus on client satisfaction and project profitability. 

Key Responsibilities: 

• 1. Architecture & Pre-Sales: 

• • Assist in technical pre-sales engagements, collaborating with sales teams to understand client business requirements and translate them into compelling, technically sound data and AI solution architectures. 

• • Develop and present comprehensive solution proposals, technical designs, and compelling business cases that articulate the quantifiable value and Return on Investment (ROI) of proposed data and AI initiatives. 

• • Conduct technical deep-dives and workshops with prospective clients, addressing complex data integration, quality, governance, and security concerns to de-risk proposals and build client confidence. 

• • Utilize rapid prototyping and proof-of-concept development to demonstrate the tangible impact of proposed solutions, accelerating sales cycles and securing new engagements. 

• 2. End-to-End Data Solution Delivery: 

• • Design, develop, and implement robust, scalable, and secure end-to-end data pipelines and architectures on leading cloud platforms (AWS, Azure) leveraging Snowflake and Databricks. 

• • Lead the development, validation, and operationalization of advanced analytical models and machine learning solutions, ensuring they address core business problems and deliver measurable insights. 

• • Drive the hands-on implementation, customization, and integration of data and AI solutions directly within client environments, ensuring seamless adoption and value realization. 

• • Oversee data quality, integrity, and governance throughout the solution lifecycle, establishing best practices and monitoring mechanisms. 

• • Apply DevOps/MLOps principles to automate deployment, monitoring, and maintenance of data and AI systems in production. 

• 3. Client Relationship & Advisory: 

• • Act as a primary technical point of contact and trusted advisor for clients, fostering strong, long-term relationships built on trust and demonstrated value.