Jobs in the United States

25+ jobs

Save this search

Added just now
T
Staff Software Engineer (Applied AI)
Traba
New York City, NY · San Francisco, CA
- $240,000 to $300,000 USD / year
…platform-engineering role first, so you'll go where the priorities are: the infrastructure an agent needs one quarter, a matching, data, or scaling problem the next. You'll join the…
Added just now
T
Staff Software Engineer (AI Agents)
Traba
New York City, NY · San Francisco, CA
- $240,000 to $300,000 USD / year
…product runs on. We're seeking an entrepreneurial Staff Software Engineer (AI Agents) to join as a founding member of the Agents team and lead the development of Traba's agentic platform -…
Added just now
T
Senior Software Engineer (Applied AI)
Traba
New York City, NY · San Francisco, CA
- $200,000 to $240,000 USD / year
- Voracious learner. You move easily between API design, UX, and deployment infrastructure.
Added just now
T
Senior Software Engineer (AI Agents)
Traba
New York City, NY · San Francisco, CA
- $200,000 to $240,000 USD / year
…product runs on. We're seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product - an agentic platform…
Added 2 mins ago
Data Center Technician III, Third Party Data Centers
Google
LaGrange, GA
…similar role (e.g. Systems Administration, Network Deployment Engineer, Help Desk Technician,…
Added 4 mins ago
Senior Machine Learning Engineer (MLOps)
Redwood Logistics
Remote, United States
Redwood Logistics is seeking a Senior Machine Learning Engineer to build and operate the infrastructure that takes ML models from development to production and keeps them performing once…
Added 9 mins ago
GD
Senior Backend Engineer - (Java/Spring Boot)
Gen Digital Inc.
New York, NY
- $135,000 to $178,000 USD / year
We’re looking for a deeply experienced backend engineer who brings strong ownership, sound technical judgment, and a high bar for engineering quality. This role is about making smart…
Added 10 mins ago
Director of Geotechnical Engineering
Exodigo
Remote, United States
The ideal candidate is an experienced geotechnical engineer with strong industry relationships and expertise in complex civil infrastructure, particularly tunnels, bridges, and…
Added 10 mins ago
Director of Geotechnical Engineering
Exodigo
Remote, United States
The ideal candidate is an experienced geotechnical engineer with strong industry relationships and expertise in complex civil infrastructure, particularly tunnels, bridges, and…
Added 10 mins ago
Director of Geotechnical Engineering
Exodigo
Remote, United States
The ideal candidate is an experienced geotechnical engineer with strong industry relationships and expertise in complex civil infrastructure, particularly tunnels, bridges, and…
Added 11 mins ago
IG
ASIC Verification Engineer
Insight Global
San Jose, CA
- From $54 USD / hour
Demonstrated experience in developing test plans and verification infrastructure.
Added 12 mins ago
E
Senior DevOps Engineer
EIS
Remote, United States
- $125,000 to $140,000 USD / year
…running application. We are looking for a senior, hands-on engineer who can connect AWS infrastructure, secure networking, platform services, CI/CD, and application deployment into one…
Added 12 mins ago
Senior Energy Engineer
ICF
Houston, TX
…clients solve complex challenges in energy, environment, and infrastructure. We combine deep domain expertise with cutting-edge analytics and digital solutions to deliver impactful…
Added 14 mins ago
Staff Software Engineer, Platform
Sharp Performance
Remote, United States
We're hiring a Staff Software Engineer to co-own that problem. You'll help set the technical direction for the platform, write a real share of the code, and raise the bar for how the squad…
Added 17 mins ago
Senior Consultant, Data Engineer (JDE / SAP DS)
BizFirst
Remote, United States
Job Title: Senior Consultant, Data Engineer (JDE / SAP DS)
Added 17 mins ago
Senior Consultant, Integrations Specialist (IP.21, QTS, Coupa)
BizFirst
Remote, United States
…enterprise clients. This is a hands-on contract role for a data engineer with 5+ years of experience integrating enterprise data…
Added 17 mins ago
Sr Software Engineer--Routing Platform & Infrastructure
Cisco
Milpitas, CA
Join the Platform Infrastructure & Optics team, a powerhouse within Cisco’s Mass Infrastructure Group dedicated to redefining network performance for the AI era. We design and deliver the…
Added 18 mins ago
Software Engineer, Consumer Shopping Quality, Commerce, Recommendations, Rankings, Predictions
Google
Mountain View, CA
Share Software Engineer, Consumer Shopping Quality, Commerce, Recommendations, Rankings, Predictions
Added 18 mins ago
Senior Software Engineer, AI/ML
Google
Mountain View, CA
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Added 18 mins ago
Software Engineer, Program Analysis, Mobile Threat Analysis Platform
Google
Mountain View, CA
Share Software Engineer, Program Analysis, Mobile Threat Analysis Platform
Added 18 mins ago
Staff Software Engineer, Embedded Systems, Pixel Display
Google
Mountain View, CA
Share Staff Software Engineer, Embedded Systems, Pixel Display
Added 18 mins ago
Software Engineer III, AI/ML, Ads Quality
Google
Mountain View, CA
Share Software Engineer III, AI/ML, Ads Quality
Added 18 mins ago
Staff Software Engineer, Google Health
Google
Mountain View, CA
…reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML…
Added 18 mins ago
Senior Software Engineer, AI/ML, Google Labs
Google
Mountain View, CA
Share Senior Software Engineer, AI/ML, Google Labs
Added 18 mins ago
Senior Software Engineer, AI/ML GenAI, Google Ads
Google
Mountain View, CA
Share Senior Software Engineer, AI/ML GenAI, Google Ads

Closed listing

Deloitte

Google AI Architect

Stamford, CT, United States
Hartford, CT, 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

Similar jobs hiring now

Search current openings

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

Report this job