HR Process Automation & AI Specialist

Work Locations:
Reston, VA and Glendale, AZ. Telework Type:
Part-Time Telework. Relocation Authorized:
None.

Since 1898, Bechtel has helped customers complete more than 25,000 projects in 160 countries on all seven continents, creating jobs, growing economies, improving infrastructure resilience, increasing access to energy and vital services, and making the world a safer, cleaner place. Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact.

We serve the Infrastructure;
Nuclear, Security & Environmental;
Energy;
Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start‑up and operations.

The HR Process Automation & AI Specialist accelerates productivity, quality, and data‑driven decision‑making across HR by embedding Artificial Intelligence (AI), automation, and advanced analytics into core workflows. Partnering with HR leaders, process owners, EPC functions, various GBUs, and I&D technology teams, this role identifies high‑value opportunities, designs scalable and secure AI solutions, and stewards end‑to‑end delivery—from discovery and proof‑of‑concept through machine learning operations (MLOps), productionization, monitoring, and continuous improvement.

Operating at the intersection of process improvement, AI strategy, data engineering, and responsible AI, the specialist ensures solutions are explainable, auditable, and trusted, improving accuracy, speed, compliance, and employee experience.

This position is designated as part‑time telework per our global telework policy and will require at least three days of in‑person attendance per week at the assigned office or project (Reston, VA or Glendale, AZ). Weekly in‑person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership.

• Lead structured discovery to identify, assess, and prioritize HR automation and AI use cases aligned to enterprise productivity goals and priorities; quantify value and risk.
• Translate HR process needs into clear solution designs (process maps, data flows, model design choices), selecting the right patterns (automation, machine learning, large language models (LLM) with retrieval‑augmented generation (RAG), fine tuning vs. grounding) for each use case.
• Define success metrics, telemetry, and guardrails at the outset (accuracy, bias/fairness, latency, cost, adoption, compliance).
• Lead full lifecycle delivery: feasibility, proof of concept, pilot, production rollout, and scale‑out—coordinating scope, schedule, resources, and change management across HR, IS&T, and the business.
• Implement LLM solutions with strong prompt engineering, chain‑of‑thought alternatives (where appropriate), RAG using governed HR data, and hallucination mitigation techniques; optimize for latency and cost.
• Collaborate with data architects/engineers/AI specialists to ingest and govern HR data (from HRIS/ATS/LMS), build feature pipelines, and enable secure access patterns (e.g., attribute‑based access) for AI applications.
• Establish and maintain CI/CD for ML/AI (experiment tracking, model registry, reproducible training), including automation via tools such as Azure ML, MLflow/Databricks, and Git Hub Actions.
• Define model lifecycle standards (versioning, promotion criteria, rollback, retraining schedules) and automate data and concept drift detection with alerting and SLA/SLO reporting.
• Implement observability (dashboards for quality, latency, cost, safety events) and incident response runbooks for AI services.
• Ensure adherence to data privacy, security, and ethical AI principles; operationalize bias testing, disparate‑impact assessment, red‑teaming, content moderation/guardrails, and human‑in‑the‑loop controls.
• Partner with Security, Legal, and Compliance to maintain audit trails, model documentation (model cards, datasheets), and evidence for regulatory or customer audits.
• Design AI/automation solutions for HR use cases (talent…