Practice Architect-AI​/ML

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. The Practice Architect I provides consulting leadership and delivery assurance for clients across a range of internal and external functions, including Consulting, Account Interaction, Service Delivery, and Practice Delivery. In addition to traditional consulting and delivery management responsibilities, this role requires hands‑on and architectural experience across the AI/ML lifecycle, including building machine learning models, operationalizing them at scale in production environments through MLOps practices, and supporting ongoing model performance, governance, and reliability. This role may require up to 50% travel.Essential FunctionsGain a clear understanding of customers’ business objectives, data landscape, and technical requirements for AI/ML and Generative AI solutions based on the agreed solution architecture and Statement of Work (SOW).Understand, develop, and mature AI/ML and GenAI solution designs by collaborating with customers and internal stakeholders to manage expectations, resolve architectural, data, model, and delivery issues, and ensure alignment with production and scalability goals.Facilitate internal communication and coordinate the assembly of cross‑functional AI/ML delivery teams, including data science, MLOps, cloud engineering, security, practice support, and account team members for new engagements.Consolidate and communicate delivery status, model readiness, MLOps maturity, and agreed costing information across project stakeholders to ensure transparency and alignment throughout the engagement lifecycle.Ensure delivery escalation procedures are clearly defined, addressed, and communicated to clients, consultants, and management, particularly for risks related to data quality, model performance, GenAI behavior, infrastructure, and compliance.Implement and oversee a knowledge management strategy for AI/ML engagements, ensuring effective knowledge transfer from sales and solutioning to delivery teams, including GenAI architectures, agentic workflows, and operational considerations.Perform delivery risk and issue management across AI/ML and GenAI programs, proactively identifying risks related to data, models, infrastructure, governance, and security, and facilitating timely resolution with appropriate stakeholder communication.Identify, manage, and coordinate delivery change control processes for AI/ML and…

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