TAI is a 330-person engineering and construction firm serving advanced manufacturing, life sciences, food and beverage, energy, and government sectors. The tech stack reflects a controls-heavy operation: DCS, SCADA, HMI, and PLC platforms (DeltaV, Wonderware, iFix, Ignition, Rockwell, Siemens, Modicon) paired with design tools (Revit, AutoCAD, Navisworks, Bluebeam). The hiring acceleration — 36 roles posted in the last 30 days with 34 engineering positions — suggests aggressive capacity building around greenfield GMP warehouse projects and automation system implementation, while pain-point data flags design compliance and securing large-scale facility opportunities as operational constraints.
TAI delivers integrated engineering, construction, systems integration, on-site, and technical services for complex facilities across advanced manufacturing, life sciences, food and beverage, energy, and government. The company designs and builds facilities from concept through long-term operation, with core expertise in mechanical, electrical, plumbing, process, structural, and controls engineering. Headquartered in Owings Mills, Maryland, TAI operates nationwide with 201–500 employees and has served clients for over 35 years. Active projects include greenfield GMP warehouse construction, automation system implementation, facility design pipelines, and management-of-change documentation for capital upgrades.
TAI uses industrial control systems (DeltaV, Wonderware, iFix, Ignition, Rockwell Automation, Siemens PLCs), design software (Revit, AutoCAD, Navisworks, Bluebeam), and enterprise tools (HubSpot, Sage Intacct, SAP, AWS, Microsoft Project).
TAI is headquartered in Owings Mills, Maryland, and operates nationwide with 201–500 employees.
TAI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.