AI Engineer II

Deloitte is hiring an AI Engineer II on the HC Forward team to build trusted, governed data and retrieval layers for Human Capital AI and GenAI products.

Responsibilities

• Collaborate with the Lead AI Solutions Architect and AI Data Engineer to convert Human Capital product needs into secure, scalable designs and delivered solutions
• Deliver production-ready components, including APIs, services, pipelines, and containers/serverless solutions aligned to availability, performance, and security expectations
• Operationalize LLM-enabled capabilities such as copilots, HR knowledge assistants, summarization, and policy question-and-answer experiences
• Build LLM application interfaces using Claude/GPT (Codex)/Gemini, including secure endpoints and tool/function calling plus reusable prompt/context patterns
• Implement LLM application patterns including retrieval-augmented generation (RAG), document ingestion and chunking, embeddings, and vector/hybrid search
• Use retrieval/evaluation telemetry to support retrieval performance and quality monitoring
• Provide governed datasets and feature engineering/serving for ML training and real-time inference, including online/offline consistency, caching, and latency SLOs
• Support data operations including backfills and operationalization of data quality and lineage
• Enable secure consumption patterns for predictive ML and LLM-based experiences

Requirements

• Bachelor’s degree in a STEM field (examples: Computer Science, Engineering, Statistics, Data Science)
• 2+ years building and delivering LLM and GenAI solutions using Claude/GPT (Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration
• 2+ years implementing RAG/retrieval with document processing, embeddings, vector/hybrid search, and enterprise governance controls
• 2+ years data and AI engineering: data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals
• 2+ years building production real-time inference services, including API design, latency/performance, and reliability patterns
• 2+ years leading platform/integration engineering across enterprise systems, including REST, GraphQL, event-driven capabilities, microservices, and middleware
• 2+ years DevOps and DevSecOps experience including CI/CD, IaC using Terraform or CloudFormation, Docker/Kubernetes, and observability
• 2+ years leading security/compliance efforts: IAM, encryption, secrets, and audit logging, plus data/privacy controls including PII, retention, and access controls
• Ability to travel 0-25% on average
• Legally authorized to work in the United States without employer sponsorship (now or in the future)
• Ability to work independently and collaborate with a team
• Effective written and verbal communication; meticulous attention to detail
• Ability to build professional relationships, lead projects or workstreams, manage priorities, and meet deadlines
• Ability to provide clear guidance to others

Technologies

• Claude, GPT/Codex, Gemini
• APIs, LLMOps, MLOps
• RAG, embeddings, vector search, hybrid search
• REST, GraphQL
• Event-driven capabilities, microservices, middleware
• DevOps, DevSecOps, CI/CD
• Terraform, CloudFormation, Docker, Kubernetes
• Observability, monitoring
• IAM, encryption, secrets, audit logging
• PII
• Workday, SAP SuccessFactors, Oracle HCM, Salesforce
• AWS, Microsoft Azure, Google Cloud Platform (GCP)
• SOC 2, GDPR, HIPAA

Preferred

• Master’s or doctoral degree and/or cloud and AI/ML certifications
• 2+ years experience with Human Capital platforms and integrations, including Workday, SAP SuccessFactors, Oracle HCM, Salesforce, and HR data domains
• 2+ years operationalizing LLMOps and MLOps, including evaluation, monitoring, governance workflows, and model/prompt/version management
• 2+ years cloud experience with AWS, Azure, or GCP, including managed data platforms and compute patterns
• 2+ years translating business needs into documented requirements, acceptance criteria, and shippable increments using structured problem solving
• 2+ years documenting and communicating AI/GenAI trade-offs involving quality, latency, cost, and risk
• 2+ years collaborating across product, data science/ML, data engineering, platform, and security functions
• 2+ years performing threat testing, monitoring, and operational-readiness responsibilities
• 2+ years applying ethics and privacy practices related to consent, PII, and bias boundaries, including escalation of concerns
• Experience with SOC 2, GDPR, or HIPAA

Wage Range

• USD 91,100 - 179,500 per year

Location and Work Model

• Boston, MA (onsite)

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

Benefits

• You may be eligible to participate in a discretionary annual incentive program, subject to program rules, based on factors including individual and organizational performance

Recruiting Ends

• 10/30/2026