Enterprise Solutions Architect - AI & Engineering Systems

This role partners with a senior architecture team to design and implement agentic AI workflows that modernize the client's engineering infrastructure and drive measurable productivity gains across product development., *Partner with the lead architect and delivery lead to design agentic workflows that automate routine engineering tasks while keeping engineers in the loop *Break down the new product development process into discrete, agent-executable capabilities *Bridge the client's existing enterprise tech stack, including PLM, ERP, cloud data platforms, and homegrown tools, with a modernized AI architecture *Establish architectural standards and evaluate AI tools as the organization transitions from legacy to agentic-ready infrastructure *Collaborate cross-functionally with data analysts, application developers, and engineering teams *Contribute to active proof-of-concept work currently underway *Shift from strategy-heavy engagement in year one to leading implementation of complex engineering use cases in year two

*10 years of enterprise technology experience, with 5 years of hands-on AI/ML work *Proven experience designing or building agentic workflows and agentic frameworks *Strong working knowledge of current AI technologies and LLM-based architectures *Proficiency in Python and Java *AWS cloud experience (Azure concepts considered transferable) *Enterprise architecture background with a developer-to-architect career progression *Experience working in or alongside manufacturing or engineering environments *Demonstrated presence in high-level architecture decision-making, not solely downstream execution

Preferred Qualifications: *Agentic platform experience, such as Mulesoft or similar integration platforms *PLM or Windchill integration experience *Familiarity with engineering simulation tools (e.g., ANSYS or similar) *Background working with homegrown or custom-built engineering tooling *Exposure to any of the following: Mulesoft, PTC Windchill, PTC Creo, ANSYS, AWS Databricks, Synera, Colab, or SAP *, *10 years of enterprise technology experience, with 5 years of hands-on AI/ML work *Proven experience designing or building agentic workflows and agentic frameworks *Strong working knowledge of current AI technologies and LLM-based architectures *Proficiency in Python and Java *AWS cloud experience (Azure concepts considered transferable) *Enterprise architecture background with a developer-to-architect career progression *Experience working in or alongside manufacturing or engineering environments *Demonstrated presence in high-level architecture decision-making, not solely downstream execution

Preferred Qualifications: *Agentic platform experience, such as Mulesoft or similar integration platforms *PLM or Windchill integration experience *Familiarity with engineering simulation tools (e.g., ANSYS or similar) *Background working with homegrown or custom-built engineering tooling *Exposure to any of the following: Mulesoft, PTC Windchill, PTC Creo, ANSYS, AWS Databricks, Synera, Colab, or SAP