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Added 10 mins ago
Software Engineer - Systems
doe
San Francisco, CA
As a systems engineer at Doe, you’ll help build the core systems powering our agents' ability to process and query massive volumes of unstructured data at enterprise scale.
Added 10 mins ago
Staff Software Engineer
Conga
Boston, MA · Houston, TX
The Staff Software Engineer is a hands-on backend role focused on building the Java services that power real-time pricing across Conga's platform. This position is responsible for designing…
Added 10 mins ago
J
Mechanical Construction Project Manager
Jobot
Pikesville, MD
- $110,000 to $165,000 USD / year
&bullet; Professional Engineer (PE) license or Project Management Professional (PMP) certification is a plus.
Added 19 mins ago
Software Engineer, Runtime Infrastructure
Nominal
NY
…theirs, and on disconnected networks for defense programs. An engineer might be watching a vehicle in real time or working through terabytes of post-test data. Either way, every layer…
Added 20 mins ago
RAM Hardware Equipment Engineer
Micron Idaho Semiconductor Manufacturing (Triton) LLC
Boise, ID
The Real-Time Defect Analysis (RDA) and Metrology organization is passionate about delivering high-quality, reliable data that enables efficient semiconductor manufacturing. We work closely…
Added 23 mins ago
TT
Founding AI Agent Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $150,000 to $220,000 USD / year
- Integrate health profile data sources to support timely outreach and patient qualification.
Added 32 mins ago
RF/Microwave Design Engineer
Communications and Power Industries, Inc.
State College, PA
We are seeking an experienced RF/Microwave Design Engineer who can both develop advanced RF hardware and lead focused engineering development projects. This is a hands-on technical role for…
Added 39 mins ago
Software Automation & Platform Engineer - Federal Health IT
Rackner
Remote, United States
Software Automation & Platform Engineer - Federal Health IT
Added 1 hour ago
Lead Software Engineer, Frontend - Growth & Monetization
Nominal
NY
…into the real world faster. It brings together the systems, data, intelligence, and applications hardware engineering requires to meet the AI moment. Hardware engineering teams use Nominal…
Added 1 hour ago
Full Stack Software Engineer, Compute
Nominal
NY
At Nominal, the frontend goes far beyond a visual layer on top of APIs. It's where thousands of high-frequency data sources are streamed and drawn on screen in time for an engineer to…
Added 1 hour ago
Lead Software Engineer, Backend - Growth & Monetization
Nominal
NY
…into the real world faster. It brings together the systems, data, intelligence, and applications hardware engineering requires to meet the AI moment. Hardware engineering teams use Nominal…
Added 1 hour ago
Product Security Engineer
Nominal
NY · WA
…into the real world faster. It brings together the systems, data, intelligence, and applications hardware engineering requires to meet the AI moment. Hardware engineering teams use Nominal…
Added 1 hour ago
Quality Engineer III (QA Systems)
Parker Hannifin Corporation
Lexington, KY
The Quality Engineer III is a senior site-level role responsible for assessing and supporting complex quality performance issues across multiple value streams and functional specialties.…
Added 1 hour ago
Program Analyst
Veterans Affairs, Veterans Health Administration
Louisville, KY
Added 1 hour ago
Staff Software Engineer, Applied AI
SuperDial
Burlingame, CA
SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives…
Added 1 hour ago
Environmental Engineer
Veterans Affairs, National Cemetery Administration
Washington, DC
Added 1 hour ago
ES
Office 365 Engineer
Element Solutions Inc
Apex, NC
- $50,000 to $65,000 USD / year
Reporting to the Global Director Engineer this role is responsible for delivering, managing and enhancing the company’s cloud messaging capabilities via the Microsoft Office 365 platform.…
Added 1 hour ago
Manufacturing & Production Test Engineer
Advantest
Lake Forest, CA
Advantest Test Solutions, Inc. (ATS) is seeking a Manufacturing & Production Test Engineer for our Lake Forest, CA location. This entry-level hybrid role combines Manufacturing Engineering…
Added 1 hour ago
IG
Jr Data Engineer
Insight Global
Charlotte, NC
- From $56 USD / hour
Insight Global is seeking a Data Engineer for a top financial services client. This individual contributor will help build scalable AI-enabled services that connect enterprise data with…
Added 1 hour ago
Automation Engineer
Valley Queen
Milbank, SD
Experience with robotics, vision systems, and automated packaging lines. Knowledge of MES systems, and data analytics for process optimization. Bilingual in English/Spanish.
Added 1 hour ago
Continuous Improvement Leader - East Tawas Area
The Pivot Group Network
East Tawas · East Tawas, MI
Strong data analysis and problem solving skills.
Added 1 hour ago
Supplier Quality Engineer - Caro Area
The Pivot Group Network
Caro · Caro, MI
Are you ready to take on a challenging and rewarding opportunity in supplier quality engineer? The Pivot Group Network, a Michigan manufacturing-focused recruiting group, is committed to…
Added 1 hour ago
Quality Engineer - Adrian Area
The Pivot Group Network
Adrian · Adrian, MI
This posting covers Quality Engineer opportunities with manufacturers based in and around Adrian in Lenawee County, within about 45 minutes of the city, including Tecumseh, Hudson, Morenci,…
Added 1 hour ago
IG
Fire Control Systems Engineer (TSSCI)
Insight Global
Dahlgren, VA
- $60 to $75 USD / hour
Insight Global is seeking a Fire Control Systems Engineer to support a dynamic systems engineering team at Naval Surface Warfare Center Dahlgren Division.
Added 1 hour ago
Test Coordinator
CACI International
Fort Belvoir, VA
As a test engineer supporting Product Manager Soldier Tactical Reconnaissance, Intelligence and Kinetic Effects (STRIKE) within the Portfolio Acquisition Executive Layered Protection you…

Closed listing

Deloitte

Google AI Architect

Seattle, WA, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

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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