3623 IT & Software Developer jobs in the US

Deloitte jobs

Senior AI Data Engineer Consultant

$113,100 - 208,300
2nd Avenue 1015, Seattle
$113,100 - 208,300
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- 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

Responsibilities

- 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

Description


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.
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You can find Data Engineer salaries in the United States here.

How many Data Engineer jobs are in the United States?

Currently, there are 3623 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

Is the US a good place for Data Engineers?

The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Data Engineer jobs in the United States?

Decisive Dividend Corporation, TEN X TORONTO, D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, ID Cosmetic clinic, GE Aerospace among others, are currently hiring for Data roles in the United States.

The company with most openings is Judge Group, Inc. as they are hiring for 266 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.