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Developer Experience Lead
Werfen
Bedford, MA
The Developer Experience Lead is a highly experienced Software Engineer who, under minimal supervision, provides technical leadership for developer experience, productivity, and engineering…
Added 1 min ago
DevOps Engineer
Raydar
Remote, United States
- Take responsibility for platform reliability, scaling and capacity planning.
Added 3 mins ago
MBSE Systems Engineer – AI Reliability Engineering
General Dynamics Mission Systems, Inc
UNAVAILABLE
As a Model-Based Systems Engineer for the AI Reliability Engineering (AIRE) team, you’ll be a member of a cross functional team responsible for leading the design, development, and…
Added 4 mins ago
DevOps Engineer
Merastar Insurance Company
Jacksonville, FL · Birmingham, AL
Kemper has an immediate need for a skilled and motivated DevOps Engineer to work from our Birmingham or Jacksonville office.
Added 4 mins ago
Senior Director, Optical Engineering
Coherent Aerospace & Defense Inc
Longmont, CO
…innovation. At Attalon, we’re redefining performance, precision, and reliability in defense…
Added 4 mins ago
Electrical Engineer, Manufacturing Test
Anduril Industries
Fort Collins, CO
Anduril’s Manufacturing team is seeking a Electrical Engineer, Manufacturing Test to join our Battlespace Awareness team. The BA Manufacturing Team is responsible for rapidly iterating and…
Added 5 mins ago
Senior Specialist, Systems Engineering - Avionics
L3Harris Technologies
Greenville, TX
Senior Specialist, Systems Engineer will design, integrate and test flight deck avionic systems across multiple platforms. The Senior Specialist will mentor team members and establish…
Added 7 mins ago
Data / Power BI Engineer IV
LMI
United States
This is not a dashboard-only role. The engineer must design for data lineage, refresh reliability, security, performance, and explainable calculations while ensuring that reports answer…
Added 8 mins ago
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Process Engineer
Wieland
East Alton, IL
- $89,000 to $130,000 USD / year
…the heart of everything we do: safety, ambition, optimism, reliability, ownership, diversity, &…
Added 8 mins ago
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Backend / Full-Stack Engineer
PLACE Corporate Careers
Bellingham, WA · Draper, UT · Phoenix, AZ
- $100,000 to $160,000 USD / year
PLACE is looking to hire a Software Engineer with strong backend and full-stack expertise to join our rapidly growing CRM team. Our team builds and maintains core functionality for the…
Added 8 mins ago
QA Automation Engineer II – API, ETL Testing & Low-Code Development
Axiom Path
Charlotte, NC
Design, develop, and execute comprehensive manual and automated test cases to validate application functionality, reliability, and performance.
Added 8 mins ago
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Analytics Engineer III
Kforce
Boston, MA
- $40 to $50 USD / hour
Kforce has a client in Boston, MA that is seeking an Analytics Engineer III. This position can be remote.
Added 8 mins ago
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Systems Engineer
Kforce
Old Westbury, NY
- $115,000 to $130,000 USD / year
Kforce has a client in Old Westbury, NY that is seeking a Systems Engineer. This is a hands-on role for someone who enjoys solving infrastructure challenges, improving systems through…
Added 8 mins ago
Industrial Maintenance Reliability Technician
Sonoco Products Company
Hartselle, AL
Reporting to the Plant Engineer, the Industrial Maintenance Reliability Technician (IMRT) is responsible for supporting the achievement of maximum plant reliability by performing…
Added 9 mins ago
Test Engineer Senior
Applied Research Solutions
Jbsa Lackland, TX
Applied Research Solutions is seeking a full-time Test Engineer in Lackland AFB-San Antonio, TX.
Added 10 mins ago
Sr. Site Reliability Engineer, Infrastructure
SpaceX
Bastrop, TX
The ideal candidate has strong software engineering fundamentals and a passion for infrastructure: reliability, stability, proactive maintenance, and scalability. You understand the system…
Added 10 mins ago
Sr. Site Reliability Engineer
SpaceX
Bastrop, TX
The ideal candidate has strong software engineering fundamentals and a passion for infrastructure: reliability, stability, proactive maintenance, and scalability. You understand the system…
Added 11 mins ago
Electrical Engineer - Multiple Levels
AeroVironment, Inc.
Albuquerque, NM · Germantown, MD
Work with manufacturing and suppliers to resolve production issues and improve cost, quality, reliability, manufacturability, and production readiness.
Added 12 mins ago
Senior Engineer, AI Platform
Marketing Associates, LLC
United States
As a Senior Engineer, AI Platform, you'll help build the foundation that powers AI across OneMagnify’s products, delivery teams, and client programs. Working alongside our AI Platform team,…
Added 12 mins ago
Lead DevOps Engineer
Quantiphi, Inc.
Remote, United States
Quantiphi is seeking a highly experienced Lead DevOps Engineer to join our team. This role requires expertise in DevOps practices, release management, and cloud infrastructure, with a…
Added 12 mins ago
Senior Full Stack Engineer, Analytics & AI
Armada Recovery
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Senior Full-Stack Engineer - Data Visualization, Analytics & AI
Added 13 mins ago
Quantitative Engineer
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United States
…evaluates AI solution performance through monitoring, testing, reliability measurement, scalability assessments, and continuous optimization of cost, quality, and user…
Added 16 mins ago
Microfab Wet Etch Engineer
The Charles Stark Draper Laboratory, Inc.
Cambridge, MA
Join our team at the Draper microfabrication facility as a Microfabrication Process Engineer. In this role, you will be a key player in the clean room environment, contributing…
Added 16 mins ago
Engineer, Acetyls Process
LyondellBasell North America
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Develop systems to improve and sustain value in the areas of safety, environment, production, reliability, cost and quality
Added 18 mins ago
Process Engineer
Ingevity Virginia Corporation
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At Ingevity, we're looking for a Process Control Engineer who thrives on solving complex technical challenges, optimizing manufacturing performance, and driving continuous improvement. In…

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

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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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