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Added 8 mins ago
R
Analytics Engineer – Data & Analytics (Remote, LATAM)
Rankings.io
Remote, United States
- $3,300 to $4,100 USD / month
Performance Tuning: Troubleshoot and optimize SQL and model runtimes for speed and BigQuery cost, using partitioning, clustering and incremental models.
Added 13 mins ago
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Senior Software Engineer
myLaurel
Remote, United States
- $170,000 to $190,000 USD / year
Impact: The opportunity to be on the ground floor of a transformative healthcare model that keeps patients out of the hospital and in their homes.
Added 17 mins ago
PN
Research Engineer III - Building Energy Modeling
Pacific Northwest National Laboratory
Portland, OR · Richland, WA · Seattle, WA
- $112,500 USD / year
Developing and improving tools and reproducible workflows for large-scale building simulation, including automated model generation, batch or parallel execution, model and data management,…
Added 17 mins ago
PN
Research Engineer II - Building Energy Modeling
Pacific Northwest National Laboratory
Portland, OR · Richland, WA · Seattle, WA
- $89,300 USD / year
…workflows for large-scale building simulation, including automated model generation, batch or parallel execution, model and data management, quality checks, and results analysis across…
Added 17 mins ago
PN
Software Engineer II - Building Applications
Pacific Northwest National Laboratory
UNAVAILABLE · Portland, OR · Seattle, WA · Richland, WA
- $109,000 USD / year
Added 21 mins ago
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Marketing Specialist
CBRE
Saddle Brook, NJ
- $85,000 to $90,000 USD / year
Lead by example and model behaviors that are consistent with CBRE RISE values.
Added 21 mins ago
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Partner - Life Sciences Consulting
Cognizant
Teaneck, NJ
- $220,000 to $260,000 USD / year
Minimum 15 years' experience in Consulting across a sell-and-deliver model, including lead and opportunity identification, pre-sales and post-sales support, marketing, and client…
Added 21 mins ago
Associate AI Engineer
Capgemini
New Brunswick, NJ
Supportprompt engineering and AI model optimization activities.
Added 22 mins ago
Engineering Technician, Mid
BOOZ, ALLEN & HAMILTON, INC.
Wharton, NJ
Added 22 mins ago
Project Officer
BOOZ, ALLEN & HAMILTON, INC.
Wharton, NJ
Added 22 mins ago
EG
Dev Lead
Eliassen Group
Trenton, NJ
- $110 to $120 USD / hour
Model team expectations and deliver direct, constructive feedback.
Added 34 mins ago
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Data Governance & Data Catalog Lead
Guidehouse
WASHINGTON, DC
- $113,000 to $188,000 USD / year
Establish AI governance and responsible AI guardrails such as model and use case inventory, risk management workflow, review boards, documentation standards, third-party oversight, and…
Added 34 mins ago
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Data Governance & Data Catalog Lead
Guidehouse
WASHINGTON, DC
- $130,000 to $216,000 USD / year
Establish AI governance and responsible AI guardrails such as model and use case inventory, risk management workflow, review boards, documentation standards, third-party oversight, and…
Added 35 mins ago
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AI Engineer - Azure (Onsite)
Cognizant
Washington, DC
- $110,000 to $135,000 USD / year
Develop and maintain APIs that orchestrate RAG workflows, including retrieval, prompt handling, and model interaction.
Added 35 mins ago
Staff Radar Engineer
Anduril Industries
Broomfield, CO · Fort Collins, CO · Costa Mesa, CA
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 35 mins ago
Staff Radar Engineer
Anduril Industries
Costa Mesa, CA
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 35 mins ago
Senior RF Engineer
Anduril Industries
Broomfield, CO · Fort Collins, CO
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 35 mins ago
Senior Electrical Engineer
Anduril Industries
Broomfield, CO · Fort Collins, CO
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 35 mins ago
RF Engineer
Anduril Industries
Broomfield, CO · Fort Collins, CO
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 35 mins ago
FPGA Engineer
Anduril Industries
Broomfield, CO · Fort Collins, CO
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 35 mins ago
Electrical Test Engineer
Anduril Industries
Fort Collins, CO
…technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are…
Added 35 mins ago
Exercise Planner
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
Added 35 mins ago
Project Operations Lead
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
Added 35 mins ago
Naval Acquisition Portfolio Director
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
Added 35 mins ago
Order of Battle Analyst
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC

Closed listing

Deloitte

Google AI Architect

Minneapolis, MN, 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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