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Added 3 mins ago
AC
Ping SSO Engineer w. AI
AMERICAN CYBERSYSTEM
Denver, CO
- $65 to $70 USD / hour
…Management (IAM) professional to fill the role of IAM (SSO) Engineer. As an IAM Engineer, you will play a critical role in designing, implementing, and maintaining our secure authentication…
Added 36 mins ago
Experienced or Senior Digital Circuit Card Assembly (CCA) Design Engineer
The Boeing Company
Huntsville, AL
Boeing Defense, Space & Security (BDS) seeks an Experienced or Senior Digital Circuit Card Assembly (CCA) Design Engineer who is a subject matter expert in high-speed digital circuit…
Added 54 mins ago
Senior Vehicle Motion Controls Platform Engineer – Steering or Suspension
General Motors
Milford, MI
This role is designed for an experienced automotive controls engineer from a leading OEM or Tier 1 supplier who can lead work from vehicle-dynamics analysis through control- architecture…
Added 54 mins ago
Senior Hardware Development and Validation Engineer – Engine Lube/Vent
General Motors
Pontiac, MI
We are seeking a high‑performing Hardware Development Engineer to plan, develop, and execute engine lubrication and ventilation tests in a world‑class development facility. Responsibilities…
Added 54 mins ago
Hardware Development and Validation Engineer – Fuel Injector Test Benches
General Motors
Pontiac, MI
We are seeking a high‑performing Hardware Development Engineer to plan, develop, and execute fuel injector component and subsystem tests in a world‑class development facility.…
Added 54 mins ago
Design Release Engineer - Exhaust & Boosting
General Motors
Warren, MI
Design Release Engineer responsible for leading a cross-functional team consisting of various Product Engineering functions, Manufacturing Engineering, Suppliers, Purchasing, Supplier…
Added 54 mins ago
Manufacturing Engineer - Press & Automation
General Motors
Warren, MI
As a Press and Automation Manufacturing Engineer, you will help design, implement, and optimize the press and automation systems that support our stamping operations. In this role, you will…
Added 54 mins ago
Safety Performance Integration Engineer - Structure Performance (GPSSC)
General Motors
Warren, MI
GM's Global Product Safety, Systems and Certification (GPSSC) organization is seeking a Safety Performance Integration Engineer for Structure Performance to help make our vision of zero…
Added 54 mins ago
AT
Field Service Engineer
Agilent Technologies
Denver, CO
- $43 to $67 USD / hour
We are seeking a dedicated Field Service Engineer to be responsible for supporting our security and detection customers through on-site activities such as installation, implementation,…
Added 1 hour ago
Sr. Software Engineer, Falcon NG-SIEM, FrontTier Expansions (Hybrid)
CrowdStrike, Inc.
Austin, TX
CrowdStrike is seeking a Senior Software Engineer to help design and build the software systems that power our global LogScale/NG-SIEM infrastructure footprint. The FrontTier Expansions…
Added 1 hour ago
Sr. Engineer - Cloud (Remote)
CrowdStrike, Inc.
Remote, United States
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
Engineer III - Cloud (Remote)
CrowdStrike, Inc.
Remote, United States
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
CrowdStrike Platform Resident Consultant- Government
CrowdStrike, Inc.
Remote, United States
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
Sr. Platform Engineer - Kubernetes (Remote)
CrowdStrike, Inc.
Remote, United States
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
CI
Sr. Engineer, Cloud - CTIO (Hybrid)
CrowdStrike, Inc.
Redmond, WA · NY · Austin, TX · Sunnyvale, CA
- $150,000 to $210,000 CAD / year
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
Front End Engineer II (Remote)
CrowdStrike, Inc.
Remote, United States
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
CI
Engineer III, Cloud - CTIO (Hybrid)
CrowdStrike, Inc.
Redmond, WA · NY · Austin, TX · Sunnyvale, CA
- $120,000 to $170,000 CAD / year
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
CI
Engineer III, Cloud - CTIO (Hybrid)
CrowdStrike, Inc.
Redmond, WA · NY · Austin, TX · Sunnyvale, CA
- $120,000 to $170,000 CAD / year
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
Cloud Engineer III, Exposure Management (Hybrid, Sunnyvale)
CrowdStrike, Inc.
Sunnyvale, CA
…advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries,…
Added 1 hour ago
Senior Cloud Engineer/Architect (AWS)
Leidos
Albuquerque, NM
The Senior Cloud Engineer/Architect (AWS) supports design of a new, modernized updated and upgraded capabilities for DTRA. This role will be responsible for tech requirement definition,…
Added 1 hour ago
Data/Visualization Engineer SME
Leidos
Albuquerque, NM
Leidos is seeking a highly skilled Data Visualization Engineer SME specializing in data visualization to join our team in Fort Belvoir, VA or Albuquerque, New Mexico. The primary focus of…
Added 1 hour ago
Software Engineering Manager II, YouTube
YouTube
Mountain View, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 2 hours ago
Machine Learning Engineer, Perception
Jobgether
Remote, United States
This is an opportunity to develop advanced AI and computer vision systems that enable industrial robots to perceive, understand, and interact reliably with the physical world. You will work…
Added 2 hours ago
Senior Mission Operations Engineer
Blue Origin Personnel, LLC
Reston, VA · Denver, CO
As a Senior Mission Operations Engineer, you will serve as the Mission Operations Lead for a deep space mission that will cruise to Mars, insert into orbit, and then serve for years as a…
Added 2 hours ago
MK1-Avionics Harness Design Engineer II
Blue Origin Personnel, LLC
Space Coast, FL
…to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the…

Closed listing

Deloitte

Google AI Architect

St. Louis, MO, United States
Kansas City, MO, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Experience: 6+ years' experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.
Posting language: English
Posted: Aug 8, 2026

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Original job description

Archived listing. The details below describe a past opening.

Google AI Architect/AI and Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering 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.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 12-20-26

Work you'll do:

Architect and deliver enterprise AI platforms and applications on Google Cloud using Vertex AI and Gemini; optimize for scalability, reliability, security, and cost.
Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool/function calling, safety policies, Vector Search, evaluation); implement deployment, inference optimization, and monitoring.
Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability.
Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build.
Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore, and Terraform; enforce application and agentic design patterns.
Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails.

Responsibilities include:

Architect and Design: Design and development of enterprise-grade AI applications and platforms, with a focus on scaling AI solutions for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis on production-level performance and reliability.
Enterprise Architecture: Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy, governance, and standards.
Cloud and GenAI Native Development: Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
Security & Governance: Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacks.
Design Patterns: Apply and enforce Application Design Patterns and Agentic Design Patterns to build resilient and maintainable software systems.

Required Qualifications

Bachelor's degree in Computer Science, Engineering or a related technical field.
6+ years' experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.
5+ years hands-on with Google Cloud, including 2+ end-to-end enterprise implementations in production.
4+ years designing and implementing Google Cloud networks, security controls, and landing zones using Terraform.
2+ years building and operating containerized workloads on GKE (autoscaling, ingress, monitoring/observability).
2+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins.
3+ years executing migration or modernization programs to Google Cloud (rehost, replatform, refactor).
2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ years' production deployment (e.g. RAG with Vertex AI Search/Vector Search, prompt design, safety policies, observability).
Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
Experience implementing multiple AI solutions in a professional, real-world environment.
Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).
Familiarity with various hyperscaler tools and services.
Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred Qualifications:

Google Professional Machine Learning Engineer certification or the equivalent ML certification.
Master's degree in technology-related discipline.
2+ years's leading high performance, results driven engineering teams delivering AI platforms or applications.
1+ year implementing LLMOps/MLOps using Vertex AI Pipelines and Cloud Build (or similar)

Wages + Salary

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 $122,000-$240,500.

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.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

About employer

More about this job

Skills

BigQuery
Microservices
CI/CD
SQL
IBM Terraform
AWS
Microsoft Azure
Google Cloud
Docker
Kubernetes
Software development
Computer science
GitHub
Jenkins
AWS certification
Machine learning
ML

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