Job Description

Salary: $113,100 - 208,300 per year Requirements:

• Bachelors degree in a STEM discipline such as Computer Science, Engineering, Statistics, or Data Science
• Over 4 years of experience in developing and delivering LLM/GenAI solutions utilizing Claude/GPT(Codex)/Gemini-class models, including prompt/context design and integration into production
• More than 4 years of experience in implementing RAG/retrieval techniques including document processing and embedding with corporate governance frameworks
• At least 4 years of exposure to contemporary data and AI engineering, covering data modeling, batch/streaming pipelines, and fundamental feature engineering/serving
• Over 4 years of building production services for real-time inference, focusing on API design and reliability
• More than 4 years of spearheading platform and integration engineering across enterprise systems; strong experience with APIs including REST, GraphQL, and microservices
• At least 4 years of DevOps/DevSecOps involvement, including CI/CD practices and infrastructure as code such as Terraform
• Over 4 years of experience leading security and compliance initiatives and familiarity with enterprise security protocols such as IAM and encryption
• Willingness to travel up to 25%, as required by projects and client needs

• Collaborate with the Lead AI Solutions Architect and AI Data Engineer to develop secure and scalable technical designs that meet Human Capital product requirements
• Create and operationalize capabilities powered by LLMs, including HR knowledge assistants and summarization tools
• Implement application patterns for LLMs, such as document ingestion, embeddings, and retrieval telemetry
• Produce governed datasets and oversee feature engineering and serving for machine learning training and real-time inference
• Establish safety, privacy, and access controls in conjunction with security and risk teams
• Maintain data/model reliability and manage cost-performance metrics
• Contribute to MLOps/LLMOps practices including version control and automated testing while supporting deployment readiness

• AI
• API
• Architect
• CI/CD
• DevSecOps
• DevOps
• GraphQL
• IAM
• Support
• LLM
• Machine Learning
• REST
• Security
• Terraform
• microservices
• AWS
• Azure
• Cloud
• Docker
• GCP
• Kubernetes
• Oracle
• SAP
• Salesforce
• Serverless

More:

We are Deloittes Human Capital team, dedicated to transforming technology platforms and driving innovation to enhance our clients success. We seek an AI Engineer Senior Consultant to develop and maintain the foundational data, features, and GenAI capabilities that support our Human Capital AI products and analytics. In this hands-on role, you will work with a collaborative team committed to delivering robust, secure, and scalable AI solutions. Our office locations include major cities across the United States. We offer a competitive salary range of $113,100 to $208,300 and eligibility for a discretionary annual incentive program based on performance.

last updated 14 week of 2026

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