Deloitte
AI Engineer III
Richmond, Virginia · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$17,110 more — $139,110 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $139,110 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Richmond, VA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Recruiting for this role ends on 10/30/2026.
- The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
Responsibilities
- Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success.
- You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.
- Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines, containers/serverless) meeting availability, performance, and security expectations.
- Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt/context patterns.
- Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills).
- Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content filtering, policy-based access) with security and risk stakeholders.
- Establish data/model reliability and cost-performance discipline (data quality, schema evolution, lineage/metadata, monitoring; right-sizing, query tuning, LLM token/cost telemetry), and contribute to MLOps/LLMOps and production operations (versioning, reproducibility, CI/CD, automated testing, observability, incident response); support design reviews, deployment readiness, and runbooks.
Requirements
- 4+ years leading security/compliance efforts, including experience with enterprise security controls such as identity and access management (IAM), encryption, secrets, and audit logging
- Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- 4+ years of experience with Human Capital platforms and integrations, including Workday, SAP SuccessFactors, Oracle HCM, or Salesforce, and HR data domains
- 4+ years of experience operationalizing LLMOps/MLOps capabilities, including evaluation, monitoring, governance workflows, and model/prompt/version management
- and 4+ years of cloud experience on one or more of Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including managed data platforms and scalable compute patterns
- 4+ years of experience using structured problem solving to translate business needs into requirements, acceptance criteria, and shippable increments
- and 4+ years of experience explaining AI/GenAI trade-offs involving quality, latency, cost, and risk to stakeholders and documenting decisions
- 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security
- and 4+ years of experience performing threat testing, monitoring, and operational-readiness activities
- 4+ years of experience identifying consent, PII, and bias boundaries and escalating appropriately
Skills
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
- Limited immigration sponsorship may be available.
- Master of Science (MS) or Doctor of Philosophy (PhD) degree and/or cloud and AI/ML certifications
- A reasonable estimate of the current range is $122,000 to $240,500.
Compensation
- $122k-$241k
Company info
- HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.
- We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics.
Visa & Work Authorization
- Limited immigration sponsorship may be available
This listing is sourced directly from Deloitte's careers page and normalized into a canonical job model.