Senior Engineering AI / Advisory Lead

Tek Analytics, LLC.; Chicago (IL); On-site; USD 180,000 - 240,000; Full time

Job summary

Tek Analytics, LLC. seeks a seasoned Engineering AI Advisor to lead advisory and delivery engagements across industrial engineering, manufacturing, and asset-intensive environments.

You will own portfolio discovery, maturity assessments, technical architecture, and the direction of AI/ML solution development, including integration with PLM/ERP/MES and industrial data systems. 16–20+ years of experience in AI/industrial solutions is expected.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or a related discipline.
• 16–20+ years of relevant technology experience in AI/ML, industrial digital solutions, or solution architecture.
• Experience owning technical delivery from discovery to deployment and maintenance.
• Experience leading technical assessments, architecture reviews, and complex industrial initiatives.

Responsibilities

• Lead discovery workshops and assess existing Engineering AI solutions, prototypes, production applications, and roadmap initiatives.
• Evaluate solution maturity, architecture, data pipelines, and production readiness.
• Define target-state architectures, roadmaps, and governance for Engineering AI implementations.
• Lead technical direction for industrial AI use cases including predictive maintenance and AI-powered quality inspection.
• Guide AI/ML, computer vision, GenAI, local LLMs, RAG, and agentic AI applications to industrial problems.
• Assess integration approaches across PLM, ERP, MES, EAM, PLC/SCADA, and industrial data systems.

Skills

AI/ML architecture

GenAI/LLMs

Computer vision

Industrial engineering workflows

Industrial software integration

AVEVA/Hexagon/AutoCAD

CAD/DXF data

MLOps/production readiness

Delivery leadership

Stakeholder management

Education

Bachelor's or Master's in Engineering/CS/Data Science

Tools

AVEVA

Hexagon

AutoCAD

Job description

Role Summary

Lead Engineering AI advisory and delivery engagements across industrial engineering, manufacturing, and asset-intensive environments. Own portfolio discovery, solution maturity assessment, technical architecture, AI/ML solution development direction, industrial integration, deployment, and ongoing improvement of Engineering AI solutions.

Key Responsibilities

• Lead discovery workshops and assess existing Engineering AI solutions, prototypes, production applications, and roadmap initiatives.


• Evaluate solution maturity, functional depth, adoption, architecture, AI/ML approaches, data pipelines, integration patterns, and production readiness.


• Identify technical gaps, bottlenecks, improvement opportunities, reusable components, and capability requirements.


• Define target-state architectures, technical roadmaps, implementation priorities, and solution governance.


• Lead technical direction for industrial AI use cases, including predictive maintenance, engineering drawing intelligence, automated BOM extraction, engineering knowledge graphs, 3D model intelligence, digital twins, and AI-powered quality inspection.


• Guide the application of AI/ML, computer vision, GenAI, local LLMs, RAG, and agentic AI to industrial engineering problems.


• Assess and guide solutions involving AVEVA, AutoCAD, Hexagon, DXF, engineering drawings, 3D models, drone/scan data, point clouds, and pipe-routing workflows.


• Define integration approaches across industrial engineering platforms, PLM, ERP, MES, EAM, PLC/SCADA, and industrial data systems.


• Lead technical design reviews, model validation, integration testing, deployment readiness, and resolution of complex technical issues.


• Establish production monitoring, maintenance, model improvement, and continuous optimization practices.


• Identify required specialist skills, delivery capabilities, and reusable engineering AI components; guide technical teams and client stakeholders.

Required Skills

• Strong expertise in AI/ML solution architecture and applied AI, with working knowledge of GenAI, LLMs, RAG, computer vision, and agentic AI.


• Strong understanding of industrial engineering, manufacturing, asset management, or engineering design workflows.


• Experience with industrial engineering software and integration patterns, preferably AVEVA, Hexagon, AutoCAD, or comparable platforms.


• Understanding of engineering data, CAD/DXF, 3D models, engineering BOMs, industrial data pipelines, and enterprise/operational systems.


• Experience assessing model accuracy, robustness, edge cases, scalability, observability, security, and production readiness.


• Knowledge of deployment architecture, MLOps, monitoring, maintenance, and solution lifecycle management.


• Strong technical advisory, architecture, problem-solving, delivery leadership, and stakeholder management capabilities.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or a related discipline.


• 16–20+ years of relevant technology experience, including substantial experience in AI/ML, industrial digital solutions, or solution architecture.


• Demonstrated ownership of technical delivery from discovery and solution design through implementation, deployment, and maintenance.


• Experience leading technical assessments, architecture reviews, and complex industrial or enterprise technology initiatives.

Expected Capabilities

Lead structured discovery and maturity assessments; define technical direction and roadmaps; guide specialized Engineering AI implementations; and own architecture, technical quality, delivery outcomes, and production readiness.