Role Overview
Deloitte is hiring a entry-level GenAI Platform Engineer. This is a full-time role in Arlington. Part of Deloitte's Qa hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Work You'll Do
As a Project Delivery Specialist on the project, you will:
- Work with other platform engineers, platform SME, solution architects, and development teams to strategize Platform Engineering approaches and capabilities.
- Design, build, and test CI/CD pipelines to support the tenants GenAI applications.
- Work with product teams to identify gaps, troubleshoot bugs, and enhance platform functionality.
- Work with product teams to identify gaps, troubleshoot bugs, and enhance CI/CD capabilities.
- Design, build, and test templates and automations to support onboarding and delivery for a wide variety of projects with disparate operational requirements.
- Assist with the design, engineering, and maintenance of Kubernetes clusters and applications hosted therein.
- Work with Product Teams to troubleshoot issues and modify configurations for their software.
- Define and implement standards for application development and environment configurations that are flexible enough to meet Product Team needs and compliant with DHS requirements.
- Assist with the design, engineering, and maintenance of custom accelerators like Terraform Modules, Helm Charts, Repository Templates, etc.
- Assist Product Teams with use of custom accelerators.
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Hybrid Cloud Infrastructure offering provides specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments, modernize networks and AI infrastructure from the core to the edge, and incubate new infrastructure and device services to help clients stay ahead with the latest technology advances.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Qualifications
Required:
- Bachelor's degree
- Active High Risk Public Trust or Top Secret security clearance required
- 3+ years of experience working in a centralized platform team providing services to several tenants or customers (e.g., DevSecOps team, Cloud Ops Team)
- 2+ years of experience with AWS
- 1+ year of experience with Infrastructure-as-Code tools (e.g., Terraform, Helm)
- 1+ year of experience with Kubernetes
- 1+ year of experience supporting an RMF Accreditation / Authorization
- Ability to travel 5-20%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred
- Familiarity with common CI/CD concepts, such as package repositories, code scanning, automated unit testing, and deployment
- Familiarity with cybersecurity concepts, such as SAST, DAST, Penetration Testing, STIG Compliance, and CVEs
- Familiarity with GenAI concepts, such as Agentic Workflows, Knowledge Bases, Vector Stores, and Prompt Libraries
Qualifications
Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Work You'll Do
As a Project Delivery Specialist on the project, you will:
- Work with other platform engineers, platform SME, solution architects, and development teams to strategize Platform Engineering approaches and capabilities.
- Design, build, and test CI/CD pipelines to support the tenants GenAI applications.
- Work with product teams to identify gaps, troubleshoot bugs, and enhance platform functionality.
- Work with product teams to identify gaps, troubleshoot bugs, and enhance CI/CD capabilities.
- Design, build, and test templates and automations to support onboarding and delivery for a wide variety of projects with disparate operational requirements.
- Assist with the design, engineering, and maintenance of Kubernetes clusters and applications hosted therein.
- Work with Product Teams to troubleshoot issues and modify configurations for their software.
- Define and implement standards for application development and environment configurations that are flexible enough to meet Product Team needs and compliant with DHS requirements.
- Assist with the design, engineering, and maintenance of custom accelerators like Terraform Modules, Helm Charts, Repository Templates, etc.
- Assist Product Teams with use of custom accelerators.
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Hybrid Cloud Infrastructure offering provides specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments, modernize networks and AI infrastructure from the core to the edge, and incubate new infrastructure and device services to help clients stay ahead with the latest technology advances.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Qualifications
Required:
- Bachelor's degree
- Active High Risk Public Trust or Top Secret security clearance required
- 3+ years of experience working in a centralized platform team providing services to several tenants or customers (e.g., DevSecOps team, Cloud Ops Team)
- 2+ years of experience with AWS
- 1+ year of experience with Infrastructure-as-Code tools (e.g., Terraform, Helm)
- 1+ year of experience with Kubernetes
- 1+ year of experience supporting an RMF Accreditation / Authorization
- Ability to travel 5-20%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred
- Familiarity with common CI/CD concepts, such as package repositories, code scanning, automated unit testing, and deployment
- Familiarity with cybersecurity concepts, such as SAST, DAST, Penetration Testing, STIG Compliance, and CVEs
- Familiarity with GenAI concepts, such as Agentic Workflows, Knowledge Bases, Vector Stores, and Prompt Libraries
Education:Bachelor's DegreeEmployment Type:
Frequently Asked Questions
How do I apply for the GenAI Platform Engineer position at Deloitte?
Use the Apply button above to submit your application directly to Deloitte. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the GenAI Platform Engineer position at Deloitte located?
This position is based in Arlington. Deloitte has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a GenAI Platform Engineer at Deloitte earn?
Deloitte has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the GenAI Platform Engineer role at Deloitte posted?
This role was posted on April 21, 2026 (48 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the GenAI Platform Engineer role at Deloitte entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Deloitte has listed.
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