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Added 13 mins ago
Mechanical Design Engineer Stf - E4
Lockheed Martin
Littleton, CO · Littleton
…CDR (Concept Design Review) and moving into AI&T (Assembly Integration & Test). The SHY (Scalable Hypersonics) program must incorporate new technology and thus will begin with a follow-on…
Added 13 mins ago
Mechanical Engineer Sr - E3
Lockheed Martin
Littleton, CO · Littleton
We are currently seeking a Mechanical Engineer to join our NXGB design team in Littleton, CO. In this role you will :
Added 13 mins ago
Project Engineer Sr Stf - E5
Lockheed Martin
Cape Canaveral, FL · Cape Canaveral
Coordinates planning, organization, control, integration and completion of engineering projects within area of assigned responsibility. Plans and formulates engineering program; reviews…
Added 13 mins ago
Software Engineer - Early Career
Lockheed Martin
Littleton, CO · Littleton
Lockheed Martin Space is seeking a full time Early Career Software Engineer. In this role, you will support the software engineering lifecycle following the program Software Development…
Added 13 mins ago
Software Engineer - Early Career
Lockheed Martin
Huntsville, AL · Huntsville
Lockheed Martin Space is seeking a full time Early Career Software Engineer. In this role, you will support the software engineering lifecycle following the program Software Development…
Added 15 mins ago
Design Release Engineer - Exhaust & Boosting
General Motors
Warren, MI
Design Release Engineer responsible for leading a cross-functional team consisting of various Product Engineering functions, Manufacturing Engineering, Suppliers, Purchasing, Supplier…
Added 15 mins ago
Manufacturing Engineer - Press & Automation
General Motors
Warren, MI
As a Press and Automation Manufacturing Engineer, you will help design, implement, and optimize the press and automation systems that support our stamping operations. In this role, you will…
Added 15 mins ago
Simulation Lead Engineer (GPSSC)
General Motors
Warren, MI
…conducting safety simulation for a major program and for developing integration solutions to meet vehicle…
Added 15 mins ago
Battery Lab Test Systems Engineer
General Motors
Warren, MI
The Lab System Integration Engineering (LSIE) team is a part of a central engineering resource group that supports various battery, component, and propulsion test laboratories as well as…
Added 15 mins ago
Safety Performance Integration Engineer - Structure Performance (GPSSC)
General Motors
Warren, MI
GM's Global Product Safety, Systems and Certification (GPSSC) organization is seeking a Safety Performance Integration Engineer for Structure Performance to help make our vision of zero…
Added 17 mins ago
SAP Finance Engineer
Janus Henderson Investors
Denver, CO
We are looking for a Principal SAP Finance Engineer with deep expertise in SAP S/4HANA 2025 Finance, SAP VIM (OpenText Vendor Invoice Management), and SAP Group Reporting. Combining strong…
Added 24 mins ago
CrowdStrike Platform Resident Consultant- Government
CrowdStrike, Inc.
Remote, United States
Utilize and engineer native and 3rd party software deployment technologies
Added 25 mins ago
J
Senior Android Engineer - Fan Monetization
Jobgether
Remote, United States
- $160,000 to $190,000 USD / year
…and next steps. Our partner is looking for a Senior Android Engineer – Fan Monetization based in the United…
Added 43 mins ago
Senior Engineer
Tenneco
Parwanoo, IN
New Product Development (NPD): Lead the introduction of new products, ensuring smooth integration into manufacturing.
Added 44 mins ago
Data/Visualization Engineer SME
Leidos
Albuquerque, NM
Leidos is seeking a highly skilled Data Visualization Engineer SME specializing in data visualization to join our team in Fort Belvoir, VA or Albuquerque, New Mexico. The primary focus of…
Added 57 mins ago
J
Senior Software Engineer (Palantir Foundry)
Jobgether
Remote, United States
- $143,824 to $179,780 USD / year
…and next steps. Our partner is looking for a Senior Software Engineer (Palantir Foundry) based in the United…
Added 57 mins ago
Principal Engineer, Agentic AI
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Engineer, Agentic AI based in the United States .
Added 1 hour ago
Silicon Validation Product Engineer, Google Cloud
Google
Sunnyvale, CA
…designs, with a specific focus on TPU architecture and its integration within AI/ML-driven…
Added 1 hour ago
Sr. Principal System Engineer - NATO IFC Lead
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a Senior Principal Systems Engineer to join our team of qualified, diverse individuals within our Systems Engineering organization,…
Added 1 hour ago
Senior Mission Operations Engineer
Blue Origin Personnel, LLC
Reston, VA · Denver, CO
As a Senior Mission Operations Engineer, you will serve as the Mission Operations Lead for a deep space mission that will cruise to Mars, insert into orbit, and then serve for years as a…
Added 1 hour ago
MK1-Avionics Harness Design Engineer II
Blue Origin Personnel, LLC
Space Coast, FL
Create 3D routed harness data files utilizing Creo (Pro/Engineer) Cabling
Added 1 hour ago
MK1-Avionics Harness Design Engineer II
Blue Origin Personnel, LLC
Space Coast, FL
Create 3D routed harness data files utilizing Creo (Pro/Engineer) Cabling
Added 1 hour ago
Engineer – Internal Logistics Innovation & Projects
TKY Toyota Motor Mfg Kentucky, Inc Company
Georgetown, KY
…Department is looking for a passionate and highly motivated Engineer for Internal Logistics, Automation, and Model Change…
Added 1 hour ago
Senior Electrical Engineer
Devens
Devens, MA
The Senior Electrical Engineer, Site Infrastructure serves as a technical owner and subject-matter expert for the site's critical electrical infrastructure. This individual will own and…
Added 1 hour ago
Sr Consultant, Software Engineering - Forward Deployed Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
As a Software Engineer, you’ll focus on mentoring and leading others to deliver high-quality, cost-effective technology solutions to business partners by crafting new software applications…

Closed listing

Deloitte

Google AI Architect

New Orleans, LA, 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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