About the Role
Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. 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.
This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, Gemini-class, and other models, with strong governance, observability, and cost/performance discipline.
Recruiting for this role ends on 10/30/2026.
Work you'll do
As an AI and Data Science Engineer II on the HC Forward team, you will be responsible for designing, building, and running the trusted, governed data, feature, and retrieval layer used by artificial intelligence/machine learning (AI/ML) and generative artificial intelligence (GenAI) solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for predictive machine learning (ML) and large language model (LLM)-based experiences.
• 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, including application programming interfaces (APIs), services, pipelines, and containers/serverless solutions that meet availability, performance, and security expectations.
• Build and operationalize LLM-enabled capabilities, including copilots, human resources (HR) knowledge assistants, summarization, and policy question-and-answer experiences, using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt/context patterns.
• Implement LLM application patterns, including retrieval-augmented generation (RAG), document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry.
• Deliver governed datasets and feature engineering/serving for ML training and real-time inference, including online/offline consistency, caching, latency service-level objectives (SLOs), and backfills.
• Operationalize data quality and lineage and enable secure consumption patterns for predictive ML and LLM-based experiences.
A successful candidate would possess these skills:
• Ability to work independently and collaborate as part of a team
• 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
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
The team
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.
Qualifications
Required:
• Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
• 2+ years building and delivering large language model (LLM) and generative artificial intelligence (GenAI) solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration; and 2+ years implementing retrieval-augmented generation (RAG)/retrieval, including document processing, embeddings, vector/hybrid search, and enterprise governance controls.
• 2+ years of data and artificial intelligence engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals; and 2+ years building production, real-time inference services, including application programming interface (API) design, latency/performance, and reliability patterns.
• 2+ years leading platform/integration engineering across enterprise systems, including API/integration experience with Representational State Transfer (REST), GraphQL, event-driven capabilities, microservices, and middleware; and 2+ years of development operations (DevOps) and development, security, and operations (DevSecOps) experience, including continuous integration/continuous delivery (CI/CD), infrastructure as code (IaC) using Terraform/CloudFormation, Docker/Kubernetes, observability, and monitoring.
• 2+ years leading security/compliance efforts, including enterprise security controls-iden
