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Added 1 hour ago
Junior Software Developer
Andromeda Systems Incorporated
Jacksonville, FL
Andromeda Systems Incorporated (ASI) is hiring an entry-level software developer to join our team in developing our web-based application using the latest .Net, Angular, and SQL…
Added 1 hour ago
Sr JAVA Full Stack - Lake Mary, FL (Onsite)
Capgemini
Tampa, FL
Role Overview: Full Stack Developer with strong expertise in Java backend development and Angular front-end development who is passionate about hands-on coding and leveraging AI-powered…
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Tallahassee, FL
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 1 hour ago
Power Platform/Azure Developer
Dev Technology Group, Inc.
Egg Harbor City, NJ
This role is designed for a hands-on developer who is comfortable moving between Power Platform development and Azure cloud integration, and who can troubleshoot issues spanning…
Added 1 hour ago
M365 / Power Platform Developer
Dev Technology Group, Inc.
Egg Harbor City, NJ
…Troubleshoot and resolve application, workflow, permissions, integration, and performance issues. Develop reusable components, templates, and patterns to improve consistency and delivery…
Added 1 hour ago
Dynamics 365/Power Platform Developer
Dev Technology Group, Inc.
Egg Harbor City, NJ
…365, SharePoint, Microsoft 365, Power Platform Government, and…
Added 1 hour ago
Lead AI Transformation Engineer
Fiserv
Berkeley Heights, NJ
Champion the adoption and integration of AI-assisted engineering workflows demonstrating measurable impact on quality and throughput
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Trenton, NJ
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 1 hour ago
G
Full-Stack Developer (Java / PostgreSQL)
Guidehouse
WASHINGTON, DC
- $98,000 to $163,000 USD / year
Guidehouse is seeking a Full-Stack Developer (Java / PostgreSQL) to support a federal law enforcement technology modernization program. The successful candidate will develop, modernize,…
Added 1 hour ago
C
Senior .NET Developer with Azure & Angular(Hybrid)
Cognizant
Washington, DC
- $81,337 to $123,500 USD / year
As a Senior .NET Developer with Azure & Angular , you will be responsible for designing, developing, and supporting enterprise-grade cloud-native applications using Microsoft .NET, Azure,…
Added 1 hour ago
C
Senior .NET Developer with Azure & Angular(Hybrid)
Cognizant
Washington, DC
- $81,337 to $123,500 USD / year
As a Senior .NET Developer with Azure & Angular , you will be responsible for designing, developing, and supporting enterprise-grade cloud-native applications using Microsoft .NET, Azure,…
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Washington, DC
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 2 hours ago
Cloud Engineer, Specialist (AWS/Azure)
Vanguard
Wayne, PA
Design, develop, and support cloud-based integration and data transmission solutions using AWS services and modern engineering practices.
Added 2 hours ago
VP Merchant Acquisition Credit & Loss Prevention Analytics - Elavon
U.S. Bank
Horsham, PA
…technique selection, model build, implementation, monitoring and integration; interpretation of outputs, and development of…
Added 2 hours ago
Full Stack Engineer II
AmerisourceBergen
Conshohocken, PA
…identifying trends, anomalies, and actionable insights LLM and AI Integration 1. Independently build LLM-powered application features; apply prompt engineering, manage model behavior and…
Added 2 hours ago
Federal Data Engineering Co-Op: 2027
IBM
University Park, PA
…consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech…
Added 2 hours ago
AA
Digital Delivery Lead
ACE American Insurance Company
Philadelphia, PA
- $135,000 to $170,000 USD / year
Added 2 hours ago
CTO, Anthropic Practice
EPAM Systems
Philadelphia, PA
Enterprise architecture breadth: cloud (AWS, Azure, Google Cloud), APIs and integration, data platforms, identity and security, and the enterprise systems agents must work with (ERP, CRM,…
Added 2 hours ago
EG
Dev Lead
Eliassen Group
Harrisburg, PA
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 2 hours ago
Technical Project Manager
Talnt
Tallmadge · Tallmadge, OH
We are seeking a hands-on Technical Project Manager to lead technology projects, data integration initiatives, business intelligence reporting, and process automation within a growing…
Added 2 hours ago
IT Project Manager
Talnt
Tallmadge · Tallmadge, OH
Support the implementation, integration, maintenance, and optimization of ERP platforms, warehouse management systems, ecommerce applications, and other business software.
Added 2 hours ago
EG
Dev Lead
Eliassen Group
Little Rock, AR
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 3 hours ago
Engineer III- Technology
Edward Jones
St. Louis, MO
Contribute to the adoption and integration of AI-enabled capabilities, automation, and data-driven solutions where appropriate
Added 3 hours ago
EG
Dev Lead
Eliassen Group
Jefferson City, MO
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 3 hours ago
GA
Senior Systems Engineer SME Cloud Infrastructure & DevSecOps TS/SCI
Geospatial And Cloud Analytics Inc
Qua, VA
- $170,000 to $190,000 USD / year
This position will support the development, maintenance, and integration of hosting environments for mission-critical NCIS applications across on-premises, commercial cloud, and hybrid…

Closed listing

Deloitte

Google AI Architect

Chicago, IL, 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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