Talent Engineering Consultant

Job Description

Job Description

Project Overview

HireScale is partnering with an innovative organization to reimagine how talent systems are built, operated, and scaled in an AI-enabled world. This is a 6-month full-service Talent Engineer engagement focused on designing and deploying intelligent hiring infrastructure that transforms how teams source, evaluate, and engage talent.

The work is centered on building modern, AI-powered talent systems—not incremental recruiting improvements, but 0→1 transformation of the hiring stack. You will operate at the intersection of recruiting strategy, data systems, automation, and applied AI to create workflows that meaningfully improve speed, quality, and decision-making in talent acquisition.

This engagement is built around shipping real systems, not strategy decks. You’ll use AI-assisted development and automation tools as force multipliers to rapidly design, test, and deploy scalable recruiting infrastructure—while maintaining strong discipline around data integrity, system design, and long-term maintainability.

This is a hands-on builder role across the full lifecycle:

• Translating hiring challenges into structured, systemized solutions
• Designing and deploying AI-enabled sourcing and screening workflows
• Building scalable talent pipelines and automation layers across ATS, CRM, and sourcing tools
• Turning fragmented recruiting processes into cohesive, data-driven systems
• Establishing infrastructure that can evolve from experimentation → production-grade talent systems

The goal is not just to improve hiring—it’s to rebuild how hiring works, using AI and automation as core infrastructure.

Scope of Work & Core Capabilities

• Design and ship AI-enabled talent systems aligned to hiring and workforce goals
• Build and optimize end-to-end recruiting workflows across sourcing, screening, scheduling, and evaluation
• Translate ambiguous talent challenges into structured, scalable systems and automations
• Develop integrations across ATS, CRM, sourcing platforms, and internal HR systems
• Leverage AI and automation to improve recruiter productivity and candidate experience
• Apply strong systems thinking to ensure scalability, reliability, and maintainability
• Work across data layers to improve talent intelligence, reporting, and decision-making
• Utilize modern AI and automation tooling (LLMs, workflow automation, and orchestration platforms)
• Develop across Python, JavaScript/TypeScript, and SQL-based environments where needed
• Work with APIs and platforms such as ATS systems, HRIS tools, and recruiting tech stacks
• Design and manage data flows supporting sourcing intelligence and candidate pipelines
• Collaborate closely with talent and business stakeholders to translate needs into systems
• Document architecture, workflows, and operational playbooks for long-term scalability and handoff

Engagement Brief

This 6-month consulting engagement is focused on building production-ready, AI-enabled talent infrastructure that materially improves how organizations hire and scale teams. Success is defined by shipped systems, measurable improvements in hiring performance, and sustainable internal capability—not advisory output.

• Target Outcomes: Production-ready talent systems and AI-enabled recruiting workflows that improve sourcing efficiency, candidate quality, and time-to-hire. Deliver scalable hiring infrastructure, automation of repetitive recruiting tasks, and data-driven decision systems that elevate hiring quality and consistency. Ensure all systems are maintainable and fully operational for internal talent teams post-engagement.
• Duration: 6 months (full service engagement)
• Commitment: Full-service or fractional engagement
• Budget: Flexible based on scope, complexity, and proposal
• Start Date: ASAP
• Portfolio Requirements:
• 2–3 relevant projects in talent systems, recruiting technology, automation, HR tech, or AI-enabled workflow design
• Demonstrated end-to-end ownership (problem → system design → implementation → measurable outcome)
• Clear evidence of impact (reduced time-to-hire, improved quality of hire, automation gains, or adoption metrics)
• Supporting materials such as system diagrams, GitHub repos, case studies, or technical documentation preferred

About HireScale

HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.