Jobs in the United States

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Added 8 mins ago
GCP Data Lead/Architect
Ascendion
IN
…drive cloud adoption, build reusable assets and accelerators, lead customer solutioning efforts, support business development initiatives, and ensure successful execution of cloud…
Added 31 mins ago
Senior Site Reliability Engineer/Cloud Platform Engineer
Skyflow
Remote, United States
We're looking for a Platform Engineer to help build and run the infrastructure that powers a multi-tenant, security-sensitive B2B cloud product used by enterprise customers around the…
Added 1 hour ago
GTM Systems Engineer
Jobgether
Remote, United States
Salesforce Platform Developer I certification or higher.
Added 1 hour ago
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AI Principal Machine Learning Engineer
Jobgether
Remote, United States
- $170,000 to $240,000 USD / year
…Our partner is looking for an AI Principal Machine Learning Engineer based in the United…
Added 1 hour ago
Senior Software Engineer II
Invoca
Remote, United States
Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth.…
Added 1 hour ago
Senior Cloud Platform and DevSecOps Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
Troubleshoot complex platform failures, lead technical recovery when assigned, document root causes, and convert lessons into platform improvements.
Added 1 hour ago
Automation Engineer
Colgate-Palmolive Company
Piscataway, NJ
As an Automation Engineer reporting to the Director of Production Control and Automation within our enterprise service management team, you will lead the delivery of automation, monitoring…
Added 3 hours ago
DevOps Architect
Jobgether
Remote, United States
…infrastructure development. You will define architectural standards, lead complex systems design decisions, and guide cloud environments through new builds and migrations. Working closely…
Added 4 hours ago
Senior Integration Engineer – AI - Tax And Audit AI
Thomson Reuters (Tax & Accounting) Inc
Brooklyn, NY · Frisco, TX · Chicago, IL · Ann Arbor, MI · Eagan, MN
Help bring AI into the systems tax and audit professionals rely on every day. As a Senior Integration Engineer, you will connect AI solutions with Thomson Reuters products and client…
Added 4 hours ago
Lead Firewall Engineer
Valiant Solutions, LLC
Springfield, VA, VA
Valiant Solutions is seeking a Lead Firewall Engineer to join our rapidly growing and innovative team!
Added 4 hours ago
C
Senior Applied AI Engineer (Forward Deployed) [NYC or SF]
Concurrence
New York City, NY
- $200,000 to $260,000 USD / year
Concurrence (formerly Amigo) is building the platform healthcare organizations use to build their own clinical AI agents. Our mission is to make excellent care accessible to every patient,…
Added 4 hours ago
TT
Forward Deployed Engineer
True Talent Solutions Partners
San Francisco, CA
- $165,000 to $250,000 USD / year
- Lead end-to-end deployments and serve as the primary technical contact for senior customer stakeholders.
Added 5 hours ago
Lead Saviynt Engineer
Wells Fargo
COLUMBUS, OH
Wells Fargo is seeking a Lead Software Engineer in Cybersecurity to support the enterprise Identity Governance & Administration (IGA) modernization program. Learn more about career areas…
Added 5 hours ago
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Senior/Staff Product Engineer, Applied AI
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
- Architect and lead core backend systems, including real-time matching and automated vetting pipelines.
Added 7 hours ago
Project Manager Role
OpenDataJobs
Washington, DC
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 7 hours ago
Senior Full-Stack Engineer, Agent Management Platform
CrewAI
San Francisco, CA
CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies. The…
Added 7 hours ago
Power BI Consulting Engineer
HCA Healthcare
Nashville, TN
…volunteering in our communities. As a(an) Consulting Application Engineer with HCA Healthcare you can be a part of an organization that is devoted to giving…
Added 8 hours ago
Senior Staff Data Platform Software Engineer
ServiceNow
San Diego, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 8 hours ago
TT
Product Engineer, Mid-Senior
True Talent Solutions Partners
New York, NY
- $140,000 to $200,000 USD / year
…workflows while taking ownership of high-priority product and platform work across the…
Added 8 hours ago
Principal Systems Engineer - Cloud & AI Engineering
CBRE
Richardson, TX
As a CBRE Principal Systems Engineer - Cloud & AI Engineering, you will serve as one of the most senior technical individual contributors within Cloud Platform Services. You will lead the…
Added 8 hours ago
SoC Power Architect
NVIDIA Corporation
North District, IL
…networking architecture team seeks a highly-skilled, leading engineer to explore, define and assimilate power optimization methods across all design…
Added 9 hours ago
Senior Software Engineer, BlueField platform
NVIDIA Corporation
North District, IL
We are looking for a Senior Software Engineer to provide broad technical leadership for BlueField ARM processor platform boot, from early firmware through Linux login. Do you enjoy looking…
Added 9 hours ago
Senior Hardware Network Engineer
NVIDIA Corporation
North District, IL
The Networking Application Engineering team at NVIDIA is looking for a motivated, experienced Senior Hardware Engineer who thrives at the intersection of hardware performance, ecosystem…
Added 9 hours ago
Software Verification Engineer
NVIDIA Corporation
North District, IL
NVIDIA is looking for an outstanding Software Verification Engineer for our Linux Drivers group. You'll closely work with NVIDIA Driver developers, verification teams, and performance…
Added 9 hours ago
Software Engineer II- Full-stack Developer
Deloitte US
Atlanta, GA · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Hartford, CT · Houston, TX · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Raleigh, NC · Richmond, VA · Sacramento, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL
Software Engineer II, AI & Engineering/Engineering as a Service

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.

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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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