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Added 5 mins ago
Engineer III- Technology
Edward Jones
St. Louis, MO
…building, enhancing, and supporting critical applications and systems. The role focuses on delivering scalable software solutions, improving product functionality, and maintaining…
Added 5 mins ago
Senior Business Intelligence Professional
CenterWell
Jefferson City, MO
The Senior Business Intelligence Engineer solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior…
Added 5 mins ago
AT
Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Jefferson City, MO
- $169,300 to $304,700 USD / year
Are you passionate about architecting scalable systems and leading technical innovation?
Added 5 mins ago
Google AI Architect
Deloitte
St. Louis, MO · Kansas City, MO
Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore, and Terraform; enforce application and agentic design patterns.
Added 19 mins ago
Senior DevOps Engineer, Observability and FinOps
CACI International
Reston, VA
This engineer makes mission systems visible and their costs accountable, on networks that cannot call out to the internet. The role blends platform engineering (Kubernetes/OpenShift,…
Added 19 mins ago
Artificial Intelligence/Machine Learning (AI/ML) Engineer (2026-0238)
Acclaim Technical Services
Chantilly, VA
Develop and maintain extract, transform, and load (ETL) pipelines, SQL configurations, and performance metrics that support AI/ML applications.
Added 20 mins ago
Red Team Penetration Tester
BOOZ, ALLEN & HAMILTON, INC.
Dahlgren, VA
…Procedures ( TTPs ) , will ensure the security of U.S. Navy computer systems, applications, servers, and…
Added 20 mins ago
Test Engineer
BOOZ, ALLEN & HAMILTON, INC.
Chantilly, VA
At a certain point, experience-based system design can start to look like clairvoyance. When you've developed so many systems that you can not only orchestrate the best solution for any…
Added 40 mins ago
Principal Engineer I - System Design / Architecture Engineering
Toyota
Liberty, NC
…Department is seeking a highly motivated Infrastructure / Platform Engineer to support the implementation, reliability, and operational excellence of infrastructure and platform…
Added 41 mins ago
VG
Senior Software Engineer
Volvo Group
Greensboro, NC
- $111,100 to $137,200 USD / year
As Volvo aims to go beyond Industry 4.0 and integrate AI systems in the production line to improve our operational efficiency, your primary role will be to work directly with various…
Added 1 hour ago
EC
Test Engineer
Eaton Corporation
South Milwaukee, WI
- $71,000 to $105,000 USD / year
Eaton’s Power Reliability Division is currently seeking a Test Engineer to join our team. This position is based at our South Milwaukee, WI facility.
Added 1 hour ago
EC
Digital Factory Engineer
Eaton Corporation
South Milwaukee, WI
- $71,000 to $105,000 USD / year
Eaton’s Power Reliability Business Unit within the Power Systems Division is currently seeking a Digital Factory Engineer to join our team. This position is based at our South Milwaukee, WI…
Added 1 hour ago
ServiceNow Systems Engineer (Remote)
Kohl's
Menomonee Falls, WI
As ServiceNow Systems Engineer, you will design, develop and maintain robust systems and services within a dynamic and complex computing environment. You will utilize both cloud-based and…
Added 1 hour ago
EA INFRASTRUCTURE ENGR SR, FCH - ENTERPR
FROEDTERT
MENOMONEE FALLS, WI
Added 1 hour ago
JC
Site Reliability Engineer-FinOps Analyst
JOHNSON CONTROLS, INC.
MILWAUKEE, WI
- $95,219.8 USD / year
Added 1 hour ago
BA
Full Stack Developer, Mid
Booz Allen Hamilton
Aurora, CO
- $69,400 to $158,000 USD / year
Bring your full-stack engineering expertise to help modernize OPIR research and development. As a midlevel engineer, you'll build cloudnative microservices, develop scalable frontend…
Added 1 hour ago
BA
Full Stack Developer, Mid
Booz Allen Hamilton
Aurora, CO
- $69,400 to $158,000 USD / year
Bring your full-stack engineering expertise to help modernize OPIR research and development. As a midlevel engineer, you'll build cloudnative microservices, develop scalable frontend…
Added 1 hour ago
Principal Threat Detection Operations Engineer
Target
Brooklyn Park, MN
As a Principal Engineer supporting Threat Detection Operations, you set the technical strategy for the detection engineering, platforms, services, integrations, and automations that enable…
Added 1 hour ago
BH
Solutions Engineer
Beacon Hill Solutions Group
Saint Paul, MN
- $60 to $65 USD / hour
You'd still be very hands-on with Java, JavaScript/TypeScript, APIs, SQL, and cloud/DevOps, but you'd also get exposure directly to customers, helping understand what they need, solving…
Added 1 hour ago
GCP Ansible Kubernetes DevOps Architect
COOLSOFT
Taylorsville, UT
Architect and maintain cloud database systems, BigQuery data pipelines, and public/private APIs to support application integration and legacy-to-cloud migrations
Added 1 hour ago
Application Integration Engineer
COTIVITI, INC.
SOUTH JORDAN, UT
Added 1 hour ago
Site Reliability Engineer (Tu-Sat, night shift)
IVANTI, INC.
SOUTH JORDAN, UT
Added 2 hours ago
Data Engineer
Trinzic
Camarillo, CA
As a Data Engineer, you will be a critical part of the team that is responsible for enabling the development of data-driven decision analysis products through the innovative application,…
Added 2 hours ago
Senior Data Scientist - LLMs for Fraud Detection
DataVisor
Mountain View, CA
Engineer features from huge, noisy, imbalanced data (billions of events) using Spark and SQL.
Added 2 hours ago
Senior Software Engineer, Data and Infrastructure, Professional Intelligence, DeepMind
Google
Mountain View, CA
…measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the AI agents developed by our exceptional team of Machine Learning and Neuroscience research…

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.

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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.

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