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Added 5 mins ago
Google AI Architect
Deloitte
New Orleans, LA
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.
Added 5 mins ago
Adobe Experience Platform
Deloitte
New Orleans, LA
Designing enterprise-level AEP data architectures and defining Experience Data Model (XDM) schemas to unify customer data for activation and analysis
Added 5 mins ago
Life Sciences Research Manager - Deloitte Center for Health Solutions
Deloitte
New Orleans, LA
Serve as a mentor and role model, helping emerging researchers grow into visible thought leaders.
Added 5 mins ago
Health Care Research Manager - Deloitte Center for Health Solutions
Deloitte
New Orleans, LA
Serve as a mentor and role model, helping emerging researchers grow into visible thought leaders.
Added 6 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
New Orleans, LA
Partner with data engineering and AI/ML teams to support infrastructure for data platforms and AI workloads, including Vertex AI Agent Engine, Vertex AI Search, and Model Armor.
Added 6 mins ago
Senior Technical Product Manager - ServiceNow HRSD & Employee Center Pro
CVS Health
Baton Rouge, LA
…processes and operational issues act as a thought partner and model creative problem-solving to impact business…
Added 6 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Baton Rouge, LA
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails,…
Added 6 mins ago
Principal Software Engineer
Highmark Health
Baton Rouge, LA
Google Cloud Professional Cloud Architect, Professional Cloud Developer, or Professional Cloud Security Engineer.
Added 6 mins ago
Director HR Solutions
Lumen
Baton Rouge, LA
…transformation, including organizational redesign, operational model evolution, workforce planning, role design, capability development, and change…
Added 6 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Baton Rouge, LA
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Added 6 mins ago
Specialty Account Executive ICX - Aerospace & Defense
Siemens
Baton Rouge, LA
The next era of enterprise AI will not be won by adding another disconnected model, dashboard or pilot. It will be won by connecting trusted enterprise context to intelligence and then…
Added 6 mins ago
Commercial Enablement Manager
Norstella
Baton Rouge, LA
Own the enablement plan from intake and scoping through build, delivery, reinforcement, adoption, and measurement, working within the Commercial Enablement operating model.
Added 6 mins ago
C
Cloud Application Developer
Cognizant
Baton Rouge, LA
- $83,250 to $130,000 USD / year
We are seeking an experienced Cloud Application Developer to support the modernization of enterprise applications and the migration of Microsoft Power Platform solutions to Azure…
Added 6 mins ago
Specialty Account Executive Intelligence Center X - LCE
Siemens
Baton Rouge, LA
The next era of enterprise AI will not be won by adding another disconnected model, dashboard or pilot. It will be won by connecting trusted enterprise context to intelligence and then…
Added 6 mins ago
EG
Dev Lead
Eliassen Group
Baton Rouge, LA
- $110 to $120 USD / hour
Model team expectations and deliver direct, constructive feedback.
Added 13 mins ago
Lead Platform Engineer (Full-Stack)
Young Basile
Troy, MI
…build AI-powered features into our applications by calling model APIs (Anthropic, OpenAI, or Azure OpenAI) and building or integrating MCP (Model Context Protocol) servers that connect AI…
Added 15 mins ago
Solutions Architect (US only)
Bolder Apps
Remote, United States
Design the system architecture for web, mobile and AI products. Services, data model, hosting and how the pieces talk to each other
Added 21 mins ago
EG
Dev Lead
Eliassen Group
Des Moines, IA
- $110 to $120 USD / hour
Model team expectations and deliver direct, constructive feedback.
Added 27 mins ago
Director, Applied Science
Oracle
United States
–Drives the use of best practices for the architecture of ML and AI solutions, such as data, model, training, and evaluation.
Added 27 mins ago
Product Manager, API & Maps
vaisalaoyj
Minneapolis, NC
Our employees demonstrate, uphold, support, and model the Vaisala Values: Customer Focus, Innovation & Renewal, Strong Together and Integrity. Sharing strong and common values is part of…
Added 39 mins ago
Senior Platform Architect
Citigroup
Irving, TX
Own the target architecture across all platform layers: developer portal and APIs; workflow orchestration and policy engines; technology registry and metadata catalog; template registry,…
Added 39 mins ago
Principal Engineer II - Data Engineering
Toyota
Plano, TX
Added 39 mins ago
Senior Engineer - Data Engineering
Toyota
Plano, TX
Added 40 mins ago
Deputy AI Program Manager
Bechtel Corporation
Houston, TX
Drive the transition of successful pilots into supported production services, including operating model, support coverage, and total cost of ownership.
Added 40 mins ago
DevSecOps Platform Manager
Marathon Petroleum Corporation
San Antonio, TX · Houston, TX
…consumers to define roadmaps, establish standards, improve developer experience, accelerate software delivery, and mature the enterprise's DevOps operating model. The role also drives…

Closed listing

Deloitte

Google AI Architect

Pittsburgh, PA, United States
Philadelphia, PA, 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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