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Added 5 mins ago
Technology Strategy Technical Lead
McLean, VA
…Technology Strategy team is building FredAI, our internal enterprise GenAI platform and portfolio of AI-enabled products. We're searching for a hands-on, highly experienced Technical Lead…
Added 8 mins ago
Engineer II (US)
TD Bank, N.A.
Mount Laurel, NJ · Charlotte, NC · Fort Lauderdale, FL
The Engineer II develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise…
Added 14 mins ago
AI Platform Engineer
Insight Global
Charlotte, NC
Insight Global is seeking an AI Platform Engineer with deep expertise in Kong Gateway Administration, API Management, and AI Gateway technologies for a leading enterprise technology client.…
Added 14 mins ago
A
Google Senior Data Engineer
Accenture
Charlotte, NC · Raleigh, NC
- $94,400 to $266,300 USD / year
A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning - now building deep expertise in Google Cloud Platform (GCP). You are eager to apply…
Added 14 mins ago
A
Google Data Specialist
Accenture
Charlotte, NC · Raleigh, NC
- $70,350 to $196,000 USD / year
Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred).
Added 41 mins ago
H
Senior Delivery Lead, Design Research & Strategy
Highland
Remote, United States
- $145,000 to $165,000 USD / year
Highland assembles lean, focused teams to research & set strategy, design solutions, and engineer products that deliver clear value for our clients and their customers. Increasingly, we…
Added 42 mins ago
Data Solutions Architect - Data Platform, Data Products & AI-Ready Data
Applied Materials
Santa Clara, CA · Santa Clara
As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies - like machine learning and AI - to craft novel software solutions that solve our customers’…
Added 1 hour ago
Financial Services - Forward Deployed Engineer - Technology Consulting - Engineering- Senior Manager
EY
Chicago, IL · Hoboken, NJ · Atlanta, GA · Grandview Heights, OH · Boston, MA · Charlotte, NC · Philadelphia, PA · New York, NY
Strong technical foundation in enterprise architecture, modern software engineering, cloud platforms, data ecosystems, AI/GenAI, and enterprise integration.
Added 1 hour ago
Financial Services - Forward Deployed Engineer - Technology Consulting - Engineering- Manager
EY
Grandview Heights, OH · Chicago, IL · Charlotte, NC · Boston, MA · Atlanta, GA · Hoboken, NJ · Philadelphia, PA · New York, NY
We are seeking a Forward Deployed Engineer (FDE) – Manager to help clients solve complex business challenges through technology. This role sits at the intersection of consulting,…
Added 1 hour ago
Solutions Engineer (Central Region)
Braintrust
Remote, United States
We are looking to hire a Solutions Engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at…
Added 1 hour ago
Technology Strategy Technical Lead
Freddie Mac
McLean, VA
…Technology Strategy team is building FredAI, our internal enterprise GenAI platform and portfolio of AI-enabled products. We're searching for a hands-on, highly experienced Technical Lead…
Added 1 hour ago
Senior Software Engineer
Cisco Systems, Inc.
San Jose, CA
…teams across many products and channels. As a Senior Software Engineer, you'll help build the platform end to end, collaborate closely with a team of engineers, and stay deep in the…
Added 1 hour ago
Google Forward Deployed Engineer - GPS
Deloitte US
Atlanta, GA · Austin, TX · Chicago, IL · Nashville, TN · NY · Rosslyn, VA · Sacramento, CA · San Diego, CA
…client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working…
Added 1 hour ago
Agentic AI Engineer
Booz Allen Hamilton_United States
Arlington, VA
As an experienced engineer, you know how to design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models…
Added 1 hour ago
Senior AI Engineer
Scotiabank
Dallas, TX
The Senior AI Engineer is a senior technical individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking…
Added 1 hour ago
Delivery Consultant - AI/ML, AWS Professional Services WWPS Healthcare and Life Science
Amazon
Austin, TX
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll…
Added 1 hour ago
Staff MLE, GAI Search Platform - Moveworks
ServiceNow
Mountain View, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 hours ago
AA
Principal Artificial Intelligence Software Engineer
Alaska Airlines
WA-SeaTac
- $141,250 to $211,900 USD / year
The Principal Artificial Intelligence (AI) Software Engineer role is the sole subject matter expert in production-grade AI systems, platform architecture, and applied AI governance, As an…
Added 2 hours ago
AI/ML & Generative AI Engineer – GCP / Kore.AI / LLM / NLP
Startekk Inc
Plano, TX
Develop and maintain automated testing frameworks for AI/ML and GenAI applications.
Added 2 hours ago
Senior Full-Stack Software Engineer, Games – Web Platform
The New York Times
NY
The New York Times is looking for a Senior Full-Stack Engineer to join the Games Web Platform squad. You'll help shape the platform behind The Times' suite of games, building the…
Added 2 hours ago
Senior DevOps Engineer
Abacus Insights
Boston, MA
…in an industry that's ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision…
Added 3 hours ago
AI Engineer I
Repligen Corp
Waltham, MA
As an AI Engineer, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for the Platform. This person will be a key…
Added 3 hours ago
Software Development Engineer, AIO Visualization and Reporting
Amazon Web Services, Inc.
Seattle, WA
We are hiring a Software Development Engineer to extend this rendering platform to provide effective visualization for any problem that our web pages handle, especially for risky mutative…
Added 3 hours ago
AA
Senior Artificial Intelligence Software Engineer
Alaska Airlines
WA-SeaTac
- $117,700 to $176,550 USD / year
The Senior AI Engineer role is a subject matter expert in applied AI and ML systems including generative and agentic technologies at Alaska Airlines and Horizon Air. As an individual…
Added 3 hours ago
UG
Lead Software Engineer - Remote
UnitedHealth Group
Eden Prairie, MN
- $112,700 to $193,200 USD / year
As a Lead Software Engineer supporting the Optum Bank Group at Optum Technology, you will lead a distributed engineering team dedicated to developing, modernizing, and enhancing critical…

Closed listing

Deloitte

Google AI Architect

Cleveland, OH, United States
Columbus, OH, United States
Cincinnati, OH, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

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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