Top 99 kubernetes Jobs in chesterfield, va

AI and Data Science Engineer III
Deloitte —Richmond, VA
- $113,100 - $208,300 a year
- Full-time
- Azure
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- Doctoral degree
10d
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Brooksource —Richmond, VA
- $60 - $65 an hour
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Brooksource —Richmond, VA
- $60 - $65 an hour
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IT Infrastructure Specialist
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- $86,400 - $129,600 a year
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Site Reliability Engineer
Tekmetric —Richmond, VA
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Marathon Consulting, Virginia Beach —Richmond, VA
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Senior Migration Architect
Leidos —Virginia
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Floga Technologies —Richmond, VA
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Koalafi —Richmond, VA
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Senior/Principal Python Web Engineer
Simple Thread —Glen Allen, VA
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Senior DevOps Engineer
H & R COMPUTER CONSULTING SERVICES —Richmond, VA
- $65 - $75 an hour
- Full-time
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Remote DevOps Engineer (Kafka/Kong)
Pennant Solutions Group —Richmond, VA
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Delivery Management Engineer II
Deloitte —Richmond, VA
- $86,400 - $170,900 a year
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- Azure
- Computer Science
- Up to 50% travel
1d
Cyber Data Protection/PKI Manager
Deloitte —Richmond, VA
- $134,500 - $265,100 a year
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- 7 years
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8d
Cyber Forward Deployed Engineer - Consultant
Deloitte —Richmond, VA
- $100,400 - $197,900 a year
- Full-time
- Azure
- Computer Science
- Mid-level
8d
Software Engineer, Platform - Richmond, VA, USA
Speechify —Richmond, VA
- $140,000 - $200,000 a year
- Remote
- Azure
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7d
dotCMS Architect
CapTech Consulting —Richmond, VA
- Full-time
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- Computer Science
- Java
- Master's degree
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Senior ML/AI Engineer
Genworth Financial —Richmond, VA
- $114,900 - $227,000 a year
- Full-time
- Remote
- Computer science
- 7 years
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- Paid holidays
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Senior Azure DevOps Engineer
IT Labs —Richmond, VA
- Full-time
- Remote
- 5 years
- System design
- Senior level
Quick Apply
4d

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kubernetes jobs near chesterfield, va

AI and Data Science Engineer III

Deloitte -
Richmond, VA

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Job Details

Full-time
$113,100 - $208,300 a year
10 days ago

Qualifications

AI models
Performance monitoring
Data model design
Systems integration
Data transformation pipeline development
Continuous Delivery (CD) implementation
Data modeling projects
RESTful API
Infrastructure as Code (IaC)
Generative models
Employee relationship building
Enterprise solutions implementation
Application deployment
AI platforms (beyond public GPTs)
Prompt engineering
Event-driven architecture
Machine intelligence
IT monitoring tools
Docker
Model deployment
Developing large-scale AI models
Production monitoring
Monitoring system implementation
GraphQL APIs
Model training
Cloud automation
GraphQL
DevOps automation
Real-time data processing implementation
Cloud monitoring

Full Job Description

AI and Data Science Engineer III

Position Summary

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 08/30/2026.

Work you'll do

As an AI and Data Science Engineer on the HC Forward team, you will be responsible for building and operating the governed data, feature, and retrieval foundations that support artificial intelligence, machine learning, and generative artificial intelligence solutions.

Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and delivered solutions, including application programming interfaces, services, pipelines, and containerized or serverless components
Build and operationalize large language model-enabled capabilities, including copilots, knowledge assistants, summarization, and policy question-and-answer solutions using secure endpoints, tool calling, and reusable prompt and context patterns
Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry
Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills
Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and incident response practices for production artificial intelligence and data solutions

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

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.

Qualifications

Required:

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field
4+ years of experience building and delivering large language model or generative artificial intelligence solutions using Claude-, GPT-, or Gemini-class models, including prompt design, context design, tool calling, evaluation, and production integration
4+ years of experience implementing retrieval-augmented generation, document processing, embeddings, and vector or hybrid search in enterprise environments
4+ years of experience in data engineering, including data modeling, batch or streaming pipelines, structured and unstructured data processing, and feature engineering
4+ years of experience building production inference services and enterprise integrations using application programming interfaces, Representational State Transfer (REST), GraphQL, event-driven patterns, continuous integration and continuous deployment, infrastructure as code, Docker, Kubernetes, and monitoring tools
Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred:

Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field
Cloud or artificial intelligence or machine learning certification
4+ years of experience with Workday, SAP SuccessFactors, Oracle HCM, Salesforce, or human resources data domains
4+ years of experience operationalizing machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management
4+ years of experience using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute
4+ years of experience translating business requirements into acceptance criteria and release increments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $208,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [email protected] .

For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html

#HCFY26 #IIOFY26

Apply Now

Refine Your Search

kubernetes jobs in chesterfield, va

AI and Data Science Engineer III

AI Engineer Consultant

DevSecOps Engineer

Platform Engineer

IT Infrastructure Specialist

Site Reliability Engineer

Application Developer

Senior Migration Architect

Devops Engineer

Fullstack Engineer

Senior/Principal Python Web Engineer

Senior DevOps Engineer

Remote DevOps Engineer (Kafka/Kong)

Delivery Management Engineer II

Cyber Data Protection/PKI Manager

Cyber Forward Deployed Engineer - Consultant

Software Engineer, Platform - Richmond, VA, USA

dotCMS Architect

Senior ML/AI Engineer

Senior Azure DevOps Engineer

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