Lead AI Architecture & Strategy
Define the long-term AI architecture and technical vision for construction solutions
Establish scalable architecture patterns and standards for AI systems
Bring together GenAI, machine learning, and rule-based systems into cohesive platforms
Ensure AI initiatives deliver measurable business and customer value
Opportunity to shape AI strategy for construction at global scale
Solve novel, high-impact problems in a mission-critical industry
Design Agentic & Assistant-Based Experiences
Architect the evolution of an AI-powered Construction Assistant
Design multi-agent AI workflows that plan, reason, validate, and act
Define MCP-based orchestration and agent-to-agent collaboration patterns
Integrate Construction Assistant experiences across shared AI platforms
Define agent governance models for memory, planning, safety, and escalation
Build Modern AI & ML Systems
Modernize and scale existing ML solutions into a unified AI framework
Define best practices for LLMs, prompting, tool use, and retrieval
Apply classical ML for forecasting, optimization, risk detection, and prediction
Design hybrid reasoning systems combining ML, rules, and generative AI
Guide model evaluation, monitoring, and continuous improvement
Bring Deep Construction Intelligence to AI
Architect construction-specific ontologies, knowledge graphs, and reasoning frameworks
Model relationships across scope, schedule, cost, risk, contracts, and resources
Enable domain-aware AI that understands construction workflows and trade complexity
Solve domain-specific challenges that generic AI platforms cannot
Influence at Enterprise Scale
Partner with Platform Services teams on shared AI infrastructure
Align Construction AI systems with enterprise Trusted AI, security, privacy, and compliance frameworks
Drive reuse of platform capabilities while enabling domain-specific innovation
Influence platform AI roadmap based on construction use cases and requirements

Requirements

Experience as a senior/director level individual contributor
Deep experience designing and deploying large-scale AI systems using GenAI and traditional ML
Strong background in distributed systems, cloud platforms, and AI infrastructure
Experience with multi-agent systems, orchestration frameworks, and AI governance
Ability to communicate complex ideas clearly to technical and executive audiences
A track record of leading, influencing and driving technology strategy

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

AI architecturemachine learningGenAImulti-agent systemsorchestration frameworksLLMsclassical MLknowledge graphsreasoning frameworksAI governance

Soft skills

communicationleadershipinfluencingstrategic thinkingproblem-solving