The AI Implementation Engineer is responsible for building, deploying, and maintaining AI-powered systems across the company’s bidding operations.

This is a builder role, focused on delivering working systems that reduce manual, document-heavy work and allow estimators to focus on engineering judgment.

The role operates directly with ownership and estimating leadership, executing rapid system deployments that produce measurable business outcomes.

Key Responsibilities

Sub & Vendor RFQ Automation

• Build automated RFQ outreach segmented by trade
• Implement follow-up sequences until quotes are received
• Deploy AI-powered quote parsing from PDFs and emails
• Generate standardized quote comparison sheets
• Maintain dashboards of outstanding quotes per bid

Bid Template Automation

• Build workflows connecting takeoffs and quotes to bid templates
• Implement AI validation for missing scope and inconsistencies
• Create pre-submission review checklists
• Ensure accuracy and completeness of bids

Plan & Spec Intelligence

• Expand AI-powered plan and spec analysis systems
• Enable fast, cited responses for estimators
• Detect conflicts between plans and specifications
• Improve retrieval accuracy based on team feedback

Bid/No-Bid Decision System

• Build intake workflow for bid invitations
• Create scoring system (scope fit, size, schedule, geography, risks)
• Generate recommendation reports for estimators
• Improve decision-making before resource allocation

Historical Bid Library

• Build indexed database of past bids (won and lost)
• Enable search by trade, project type, and location
• Provide comparable pricing references
• Feed insights into future bidding workflows
• RFI Automation
• Identify plan/spec conflicts automatically
• Generate draft RFIs using AI
• Reduce RFI cycle time to same-day turnaround
• Standardize communication format

Executive AI Support

• Operate and expand executive AI workflows
• Support communication, decision-making, and planning
• Continuously improve executive-level automation
• Reduce leadership involvement in manual processes

System Deployment & Training

• Train estimating team on AI systems
• Provide ongoing support and optimization
• Maintain documentation and SOPs
• Ensure adoption across team

Continuous Improvement

• Identify new automation opportunities
• Improve existing systems based on usage
• Stay updated on AI tools relevant to construction
• Support expansion into project management systems

Qualifications

Required

• Experience building AI-powered workflows in business operations
• Strong understanding of AI tools (Claude, ChatGPT, etc.)
• Experience with automation platforms (Zapier, Make, n8n)
• Ability to structure and process unstructured data (PDFs, plans, emails)
• Strong systems thinking and problem-solving skills
• Excellent English communication skills
• High ownership and execution mindset

Preferred

• Experience in construction or document-heavy industries
• Engineering or technical background
• Spanish proficiency
• Experience with estimating tools or workflows

Typical Work Day

• Review system performance and dashboards
• Coordinate with estimating team on active bids
• Build and deploy AI workflows
• Train team on new systems
• Optimize existing processes
• Document updates and improvements
• Capture feedback for next iteration

Typical Workweek

• Deploy at least one system improvement per week
• Run weekly check-ins with ownership and estimators
• Maintain Plan & Spec systems across active bids
• Expand historical bid database
• Deliver system launch reports
• Identify new automation opportunities

Performance Evaluation

Performance is measured based on:

• Increase in bids submitted (+25% target)
• Reduction in estimator hours per bid (-30% target)
• Sub/vendor quote response rate (80%+ by Day 5)
• RFI turnaround time (same-day target)
• Improvement in bid win rate (+10%)
• Reduction in owner involvement in bid processes (-50%)
• System adoption by estimating team
• Frequency of system deployments

Work Environment

• Fully remote role
• High-performance, execution-focused environment
• Requires autonomy and ownership
• Fast-paced, system-building environment
• Alignment with U.S. Eastern Time

Software & Tools

• Claude (primary AI system)
• ChatGPT / other LLMs
• RedTeam (project management)
• Bluebeam Revu (estimating reference)
• Automation tools (Make, Zapier, n8n)
• Email and communication tools
• Document management systems

Final Notes

This role is critical to transforming the company’s bidding operations into a scalable, AI-powered system.

The AI Implementation Engineer directly impacts:

• Bid volume and speed
• Operational efficiency
• Estimator productivity
• Revenue growth

About our Client

A Florida-based civil construction firm specializing in heavy site work and underground utilities, operating as a subcontractor for general contractors and developers.

The company delivers full civil packages including:

• Erosion control
• Site demolition
• Earthwork
• Water and fire mains
• Sanitary sewer and storm drainage
• Site concrete and asphalt paving

With a bidding volume of 15–20 projects per month ($500K–$3M each), the company is investing in AI-driven systems to scale bid output, reduce turnaround time, and improve win rates without increasing headcount.

Success in this role means:

Measurable time savings Increased bid capacity Higher win rates Fully systemized workflows Reduced dependency on manual processes