Jobs in the United States

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Added 5 mins ago
Senior Security Engineer
Citian
Washington, DC
You’ll work with some of the brightest minds in the software and transportation industries. Our engineers and data scientists apply the latest in emerging tech, Artificial Intelligence, and…
Added 12 mins ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Atlanta, GA
American Express
Atlanta, GA
- $24.05 to $63 USD / hour
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, AI agents, agentic workflows, or…
Added 12 mins ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Atlanta, GA
American Express
Atlanta, GA
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 12 mins ago
AE
Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Atlanta, GA
American Express
Atlanta, GA
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 32 mins ago
Systems Design Engineer - Bioengineering
ThermoFisher Scientific
Pleasanton, CA
Apply machine learning and advanced analytics to identify patterns, anomalies and system-performance drivers.
Added 33 mins ago
AE
Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Palo Alto, CA
American Express
Palo Alto, CA
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 33 mins ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Palo Alto, CA
American Express
Palo Alto, CA
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 33 mins ago
C
Technical Marketing Engineer I (Full Time) - United States
Cisco
San Jose, CA · Milpitas, CA
- Full-time
…like GitHub. Familiarity with Artificial Intelligence (AI) and Machine Learning (ML) concepts, and experience in developing AI…
Added 1 hour ago
O
Lead Principal Platform Software Engineer
Oracle
United States
- $113,600 to $306,400 USD / year
12+ years of professional experience in software engineering, machine learning engineering, applied machine learning, or related fields.
Added 1 hour ago
Senior Software Engineer, Biggy Engineering
BigPanda
Remote, United States
The ideal candidate is a strong product-minded software engineer with hands-on AI experience, but less traditional paths are welcome. We care most about agency, judgment, output, speed,…
Added 2 hours ago
Senior AI Engineer
Octus
NEW YORK, NY
Added 2 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $24.05 to $63 USD / hour
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, AI agents, agentic workflows, or…
Added 2 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $24.05 to $63 USD / hour
Enterprise Technology Services teams build and operate technology that helps American Express deliver trusted, secure, and customer first products and services. Interns may be aligned to…
Added 2 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 2 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $89,250 to $150,250 USD / year
- Full-time
Enterprise Technology Services teams build, operate, and modernize the technology that helps American Express deliver trusted, secure, and customer-first products and services. Software…
Added 2 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $78,000 to $124,750 USD / year
- Full-time
Enterprise Technology Services teams build, operate, and modernize the technology that helps American Express deliver trusted, secure, and customer-first products and services. Software…
Added 2 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 2 hours ago
AE
Sr Software Engineer II
American Express
New York, NY
- $123,000 to $215,250 USD / year
…Framework for Winning, with a mission to reimagine the platform and solution-delivery model to improve strategic agility, speed to market, effectiveness of delivery, and transparency. The…
Added 5 hours ago
KC
Product Development Engineer Intern
KLATencor Corporation
Ann Arbor, MI
- $56 USD / hour
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where…
Added 5 hours ago
Senior Software Engineer
Dekker
Albuquerque, NM
Dekker is looking for experienced software engineers to join our growing team. A Senior Software Engineer designs, builds, and supports the applications, data pipelines, and AI-enabled…
Added 10 hours ago
TT
Staff Software Engineer, Infrastructure
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
Join a small team building infrastructure for AI and machine learning products. You will own production systems that support reliable, scalable services and help the team move quickly as…
Added 10 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
Curiosity for emerging technologies, including artificial intelligence, machine learning, developer productivity tooling, automation, and responsible AI practices.
Added 10 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
Enterprise Technology Services teams build, operate, and modernize the technology that helps American Express deliver trusted, secure, and customer-first products and services. Software…
Added 10 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 11 hours ago
ENGINEER INDUSTRIAL 2 - FIELD ENGINEERING
HII
Pascagoula, MS
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled…

Closed listing

Deloitte

Google AI Architect

Tampa, FL, United States
Miami, FL, 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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