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Added 13 mins ago
Sr. Engineer - Dev Experience Sensor
CrowdStrike, Inc.
Redmond, WA
This is a (Sr/Sr Staff-lvl) Software Tools Engineer role under the End-to-End engineering team that supports validation of customer workflows, involving real sensor, cloud and UI. The tools…
Added 44 mins ago
Staff Data Scientist
John Deere
IL
Define the technical strategy for how the proving ground evaluates and measures the performance of the John Deere technology suite, including its machines, precision technologies,…
Added 1 hour ago
UG
Advisory Services Analyst, Consultant Development Program - AI/ML Engineering Track - Multiple Locations
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
Added 3 hours ago
XT
🌎 ML Engineer (MSc. or PhD), Remote- Contract
Xperteez Technology
Remote, United States
- $60 to $120 USD / hour
…development, training and inference systems, numerical computing, performance optimization, and…
Added 4 hours ago
Sr. Software Development Engineer, GenAI, Kumo
Amazon Web Services, Inc.
Bellevue, WA
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing…
Added 5 hours ago
Lead Specialist, Technical Architect
Pearson
Jefferson City, MO
As a Quality Engineer Architect aligned to the E30 expert track, you provide domain-level quality leadership for ExamDeveloper. This role is unique within the ExamDeveloper quality…
Added 6 hours ago
J
Senior QA/SDET
Jobgether
Remote, United States
- $180,000 to $210,000 USD / year
Lead performance, load, and reliability testing to ensure APIs and processing pipelines meet latency and throughput expectations.
Added 10 hours ago
C-
Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 11 hours ago
Forward Deployed Engineer - (East coast based)
CrewAI
Remote, United States
The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking…
Added 11 hours ago
C
Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will…
Added 11 hours ago
C
AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
Credence has an immediate need for an AI Platform & DevSecOps Engineer to support federal programs hosted within AWS GovCloud. This hands-on engineering role combines DevSecOps, cloud…
Added 11 hours ago
C
Senior AI Software Engineer
Credence
Rome, NY
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 11 hours ago
C
Senior Data Engineer
Credence
McLean, VA
- $115,000 to $155,000 USD / year
Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 11 hours ago
C
Senior Data Engineer
Credence
Boston, MA
- $115,000 to $155,000 USD / year
Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 11 hours ago
C
Senior Data Engineer
Credence
Warner Robins, GA
- $115,000 to $155,000 USD / year
Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 11 hours ago
C
Senior Data Engineer
Credence
Wright-Patterson Air Force Base, OH
- $115,000 to $155,000 USD / year
Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 11 hours ago
C
AI Software Engineer
Credence
Tysons, VA
- $120,000 to $150,000 USD / year
Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 11 hours ago
C
Senior AI Software Engineer
Credence
Warner Robins, GA
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 11 hours ago
C
Senior AI Software Engineer
Credence
Wright-Patterson Air Force Base, OH
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 11 hours ago
C
Senior AI Software Engineer
Credence
Boston, MA
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 11 hours ago
C
AI Software Engineer
Credence
Wright-Patterson Air Force Base, OH
- $120,000 to $150,000 USD / year
Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 11 hours ago
C
AI Software Engineer
Credence
Warner Robins, GA
- $120,000 to $150,000 USD / year
Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 11 hours ago
C
AI Software Engineer
Credence
Boston, MA
- $120,000 to $150,000 USD / year
Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 11 hours ago
TT
Founding Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $250,000 USD / year
Join a small, early-stage team building an advertising technology platform. As Founding Engineer, you will own and develop the production recommendation system, with impact across data,…
Added 13 hours ago
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
Base salary is $120,000 to $150,000 annually. Performance-based team bonuses are paid when company targets are met. Visa sponsorship is not available.

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.

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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