Jobs in the United States

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Added 11 mins ago
KC
Customer Engagement Applications Engineer
KLA Corporation
Chandler, AZ
- $78,200 to $132,900 USD / year
…imaging and analytics. The Customer Engagement (CE) division is a field-based group of technical experts who partner closely with customers to provide a comprehensive portfolio of KLA…
Added 19 mins ago
GL
Principal Software Development Engineer
GoDaddy.com, LLC
Tempe, AZ
- $165,500 to $323,000 USD / year
Added 19 mins ago
IG
Field Service Engineer II - CT PIT TEAM
Insight Global
Phoenix, AZ
- $25 to $30 USD / hour
2 Day Shift & 1 Night Shift
Added 19 mins ago
A
Instrumentation/Automation Service Engineer I
Abbott
Phoenix, AZ
- $22.45 to $44.85 USD / hour
The Automation Service Engineer I role is responsible for the installation, calibration, maintenance, and repair of both simple and complex laboratory automation equipment. The Automation…
Added 19 mins ago
Sr. Process Development & Automation Engineer
Abbott
Phoenix, AZ
Responsibilities may include guiding the Lab Service, Process Development & Automation, and Laboratory Operations teams through automation selection, system design, integration,…
Added 20 mins ago
Field Service I (Semiconductor) Chandler, AZ REMOTE
ThermoFisher Scientific
Phoenix, AZ
Diagnose and support the repair of equipment for customers and other field service personnel.
Added 20 mins ago
Field Service Engineer III (Semiconductor) Chandler, AZ
ThermoFisher Scientific
Phoenix, AZ
Excellent interpersonal communication skills; must have a professional working proficiency in English · Must have ability to acquire a valid passport and travel regionally and internationally as required
Added 23 mins ago
Field Service Engineer
Mizuho OSI
Boston, MA
Must live in the designated territory of responsibility
Added 24 mins ago
Service Engineer
MacGregor
Houston, TX
…equipment? Look no further, MacGregor is looking to hire a Service Engineer with Hydraulic and Electric…
Added 36 mins ago
Telecom Engineer - Industrial and Mission Critical Facilities
Kiewit
Lone Tree, CO
Kiewit Engineering Group, Inc is a full-service consulting and engineering firm serving the infrastructure and engineering markets. Our combined staff of more than 1,700 engineers and…
Added 37 mins ago
U
Manager Information Technology - End User Services
UCHealth
Aurora, CO
- $57.56 to $92.1 USD / hour
Candidates must reside in the Denver Metro area, regional travel is required
Added 37 mins ago
Amazon Dedicated Cloud Engineer, Region Reliability
Amazon
Denver, CO
Deep Dive and Troubleshoot: Conduct deep dives into system and service interdependencies, proactively identifying and resolving region-specific challenges before they impact…
Added 37 mins ago
Sr. Flight Software Engineer
Insight Global
Denver, CO
Insight Global is looking for a Sr. Flight Software Engineer in the Greater Denver area. You will design, develop, and test software components for satellite mission programs and contribute…
Added 37 mins ago
Software Development Engineer, CE Tech
Amazon
Denver, CO
Come be a part of our product development team! We are seeking a technically skilled engineer who can influence across teams to help bring the products customers want into their hands, all…
Added 42 mins ago
*Digital Identity Engineer
Zurich Insurance Company Ltd.
Schaumburg, IL
…Engineering, Electronics Engineering, or a closely related field of study, plus 5 years of experience in the job offered, or as a Technical Lead, Lead Engineer, or similar Information…
Added 56 mins ago
O
Data Architect (Data Modeling, AWS)
OpenDataJobs
Remote, United States
- $112,000 to $170,000 USD / year
Design clean data models and schemas across the data lake and its stores: Amazon Simple Storage Service (S3) with Apache Iceberg tables, Amazon Aurora PostgreSQL, and Amazon DynamoDB.
Added 56 mins ago
Founding AI Platform Engineer
Zipdev
Remote, United States
Our client is looking for a Senior AI Platform Engineer to build and own the core platform powering its enterprise AI products. While forward-deployed engineers focus on developing custom…
Added 1 hour ago
Databricks Architect
LED FastStart
Remote, United States
…source systems and enable advanced analytics, AI/ML, and self-service data capabilities at scale. This position combines hands-on technical delivery, architecture leadership, client…
Added 1 hour ago
KC
Customer Engagement Applications Engineer
KLA Corporation
Chandler, AZ
- $78,200 to $132,900 USD / year
…imaging and analytics. The Customer Engagement (CE) division is a field-based group of technical experts who partner closely with customers to provide a comprehensive portfolio of KLA…
Added 1 hour ago
Senior Platform Engineer – Cloud, DevOps & AKS
Computer Task Group, Inc
New York, NY
CTG is seeking to fill a Senior Platform Engineer – Cloud, DevOps & AKS position for our client.
Added 1 hour ago
Senior Infrastructure & Security Engineer
OnMed
Remote, United States
You are a hands-on, deeply technical infrastructure engineer who treats security as part of the job rather than someone else’s department. You are fluent in the Microsoft Azure and Entra…
Added 1 hour ago
Manager, Software Development
OnLogic
South Burlington, VT
…lead time for changes, change failure rate and time to restore service to find and remove friction and…
Added 1 hour ago
Manager, Software Development
OnLogic
Cary, NC
…lead time for changes, change failure rate and time to restore service to find and remove friction and…
Added 1 hour ago
Principal Quality Assurance Engineer
Westinghouse Electric Company
Cranberry Twp, PA
Added 1 hour ago
Industrial Engineer
U.S. Army Communications Electronics Command
Tobyhanna, PA
…appoint qualified candidates to positions in the competitive service. About the Position: You will work as an Industrial Engineer at Tobyhanna Army Depot. Responsibilities Perform a multi…

Closed listing

Deloitte

Google AI Architect

Denver, CO, 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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Jobs in the United States