AI Data Engineer - Consultant
Required Skills
Job Description
**AI Engineer** **Senior Consultant**
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\-, and Gemini\-class models, and more implemented with strong governance, observability, and cost/performance discipline.
Recruiting for this role ends on August 30, 2026
**Work You'll Do:**
As an **AI Engineer Senior Consultant**, you will design, build, and run the trusted, governed data \+ feature \+ retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM\-based experiences.
**Key Responsibilities:**
* 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.
* Implement LLM application patterns including 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 (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).
* Contribute to MLOps/LLMOps and production operations (versioning, reproducibility, CI/CD, automated testing, observability, incident response); support design reviews, deployment readiness, and runbooks.
**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.
**Required Qualifications:**
* Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
* 4\+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini\-class models, including prompt/context design, tool/function calling, evaluation, and production integration.
* 4\+ years implementing RAG/retrieval (document processing, embeddings, vector/hybrid search) with enterprise governance controls.
* 4\+ years of modern data \& AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
* 4\+ years building production, real\-time inference services (API design, latency/performance, reliability patterns).
* 4\+ years leading platform/integration engineering across enterprise systems; strong API/integration experience (REST, GraphQL, event\-driven, microservices, middleware).
* 4\+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring).
* 4\+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus.
* Ability to travel 0\-25%, on average, based on client and project needs.
* Limited immigration sponsorship may be available
**Preferred Qualifications:**
* Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML).
* 4\+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains.
* 4\+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management).
* 4\+ ye
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\-, and Gemini\-class models, and more implemented with strong governance, observability, and cost/performance discipline.
Recruiting for this role ends on August 30, 2026
**Work You'll Do:**
As an **AI Engineer Senior Consultant**, you will design, build, and run the trusted, governed data \+ feature \+ retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM\-based experiences.
**Key Responsibilities:**
* 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.
* Implement LLM application patterns including 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 (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).
* Contribute to MLOps/LLMOps and production operations (versioning, reproducibility, CI/CD, automated testing, observability, incident response); support design reviews, deployment readiness, and runbooks.
**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.
**Required Qualifications:**
* Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
* 4\+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini\-class models, including prompt/context design, tool/function calling, evaluation, and production integration.
* 4\+ years implementing RAG/retrieval (document processing, embeddings, vector/hybrid search) with enterprise governance controls.
* 4\+ years of modern data \& AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
* 4\+ years building production, real\-time inference services (API design, latency/performance, reliability patterns).
* 4\+ years leading platform/integration engineering across enterprise systems; strong API/integration experience (REST, GraphQL, event\-driven, microservices, middleware).
* 4\+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring).
* 4\+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus.
* Ability to travel 0\-25%, on average, based on client and project needs.
* Limited immigration sponsorship may be available
**Preferred Qualifications:**
* Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML).
* 4\+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains.
* 4\+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management).
* 4\+ ye
Posted: 2026-03-20