AI Engineer III

Deloitte is seeking an AI Engineer III for the HC Forward team to design, build, and operate governed data and retrieval layers that power Human Capital AI products and GenAI solutions. The role supports production pipelines and services for model training, real-time inference, and LLM application delivery with a focus on governance, observability, and cost-performance discipline.

Role Responsibilities

• Partner with the Lead AI Solutions Architect and AI Data Engineer to convert Human Capital product requirements into secure, scalable technical designs and delivered solutions, including APIs, services, pipelines, and containers/serverless, aligned to availability, performance, and security expectations.
• Build and operationalize LLM-enabled capabilities such as copilots, HR knowledge assistants, summarization, and policy Q&A using Claude/GPT (Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt and context patterns.
• Implement LLM application patterns including RAG, document ingestion and chunking, embeddings, and vector or hybrid search, along with retrieval and evaluation telemetry.
• Deliver governed datasets and feature engineering and serving for ML training and real-time inference, including online/offline consistency, caching, latency SLOs, and backfills.
• Implement safety, privacy, and access controls, including PII handling, prompt-injection defenses, content filtering, and policy-based access, working with security and risk stakeholders.
• Establish data and model reliability with cost-performance discipline, covering data quality, schema evolution, lineage and metadata, monitoring, right-sizing, query tuning, and LLM token and cost telemetry.
• Contribute to MLOps/LLMOps and production operations, including versioning, reproducibility, CI/CD, automated testing, observability, and incident response; support design reviews, deployment readiness, and runbooks.

Required Qualifications

• Bachelor’s degree in a STEM field (for example, Computer Science, Engineering, Statistics, Data Science).
• 4+ years building and delivering LLM and GenAI solutions using Claude/GPT (Codex)/Gemini-class models, including prompt and context design, tool or function calling, evaluation, and production integration.
• 4+ years implementing RAG/retrieval including document processing, embeddings, vector or hybrid search, and enterprise governance controls.
• 4+ years in modern data and AI engineering, including data modeling, batch and streaming pipelines, structured and unstructured processing, feature engineering and serving fundamentals, and production real-time inference services with API design and reliability patterns.
• 4+ years leading platform or integration engineering across enterprise systems, including experience with REST, GraphQL, event-driven architecture, microservices, and middleware.
• 4+ years of DevOps or DevSecOps experience, including CI/CD, infrastructure as code such as Terraform/CloudFormation, Docker/Kubernetes, and observability and monitoring.
• 4+ years leading security and compliance efforts, including IAM, encryption, secrets, and audit logging, plus data and privacy controls such as PII, retention, and access controls.
• Ability to travel 0–25%, on average.
• Limited immigration sponsorship may be available.

Technologies

• Claude, GPT (Codex), Gemini
• RAG, embeddings, vector search, hybrid search
• APIs, LLM, GenAI
• REST, GraphQL, event-driven architecture, microservices, middleware
• CI/CD, Terraform, CloudFormation, Docker, Kubernetes
• IAM, encryption, secrets, audit logging
• PII, MLOps, LLMOps

Preferred Qualifications

• Master of Science (MS) or Doctor of Philosophy (PhD) degree and/or cloud and AI/ML certifications.
• 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 or prompt or version management.
• 4+ years of cloud experience on one or more of AWS, Microsoft Azure, or Google Cloud Platform (GCP), including managed data platforms and scalable compute patterns.
• 4+ years of experience translating business needs into requirements, acceptance criteria, and shippable increments using structured problem solving.
• 4+ years of experience explaining AI/GenAI trade-offs involving quality, latency, cost, and risk, and documenting decisions.
• 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security.
• 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, including experience supporting SOC 2, GDPR, or HIPAA requirements.

Team Overview

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.

Compensation and Location

• Location: Tampa, FL (onsite)
• Salary: USD 122,000 - 240,500 per yearly
• Wage range estimate: A reasonable estimate of the current range is $122,000 to $240,500.

Benefits

• Discretionary annual incentive program (subject to program rules, where any award depends on various factors including individual and organizational performance).