Jobs in the United States

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Added 1 min ago
Forward Deployed Engineer
Clera
Remote, United States
- Partner with machine learning and infrastructure teams to deliver deployments aligned with customer requirements.
Added 1 min ago
C
Founding Applied AI Engineer
Clera
San Francisco, CA
- $180,000 to $230,000 USD / year
As the first senior AI hire at an early-stage AI marketing company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape the agent architecture,…
Added 3 mins ago
Product Manager
Meta
Tallahassee, FL
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy,…
Added 3 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Tallahassee, FL
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 3 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Tallahassee, FL
As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented…
Added 4 mins ago
Senior Data Scientist Engineer - SFL Scientific
Deloitte
Miami, FL · Tampa, FL
Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
Added 4 mins ago
Data Scientist Engineer - SFL Scientific
Deloitte
Tampa, FL · Miami, FL
Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
Added 4 mins ago
Google AI Architect
Deloitte
Tampa, FL · Miami, FL
Google Professional Machine Learning Engineer certification or the equivalent ML certification.
Added 5 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Miami, FL · Ft. Lauderdale, FL · Tallahassee, FL · Jacksonville, FL · Lake Mary, FL · Tampa, FL
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients' critical cyber assets. In this role, you…
Added 28 mins ago
PN
Research Engineer III - Building Energy Modeling
Pacific Northwest National Laboratory
Portland, OR · Richland, WA · Seattle, WA
- $112,500 USD / year
The BS&DG is seeking a Research Engineer III - Building Energy Modeling with strong knowledge of building energy systems, advanced hands-on EnergyPlus modeling expertise, programming and…
Added 31 mins ago
Mid-Level Machine Learning Engineer
Clera
San Francisco, CA
Build and deploy machine learning systems for a fast-moving technology product team. You will own work across the ML lifecycle, from defining problems to monitoring models in production,…
Added 32 mins ago
Associate AI Engineer
Capgemini
New Brunswick, NJ
Understandingof AI, machine learning, and generative AI concepts
Added 46 mins ago
Senior Machine Learning Engineer
Amgen
Washington D.C., DC
We are seeking a Senior Machine Learning Engineer to help build high-impact AI proofs-of-concept that are credible, scalable, secure, and designed with a clear path to production. This role…
Added 1 hour ago
AI & Automation Operational Engineer-II
AmerisourceBergen
Harrisburg, PA
…are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center…
Added 1 hour ago
CTO, Anthropic Practice
EPAM Systems
Philadelphia, PA
Core AI depth: a hands-on background in machine learning or NLP that predates LLMs, plus a working grasp of how LLMs are trained, evaluated, and deployed (fine-tuning vs. retrieval vs.…
Added 2 hours ago
Data Scientist Consultant with Active Secret Clearance
Deloitte
Rosslyn, VA
Develop and evaluate statistical, classical regression, and machine learning models supporting workforce forecasting.
Added 2 hours ago
COMSEC Engineer
Huntington Ingalls Industries
Springfield, VA
Know & Grow Your People – Commit to learning and supporting team success.
Added 2 hours ago
ENGINEER SYSTEMS 2
Huntington Ingalls Industries
Newport News, VA
We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII’s diverse workforce includes skilled…
Added 2 hours ago
PROJECT MANAGEMENT ANALYST 3
Huntington Ingalls Industries
Newport News, VA
We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII’s diverse workforce includes skilled…
Added 2 hours ago
ENGINEER SYSTEMS TEST 3
Huntington Ingalls Industries
Newport News, VA
We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII’s diverse workforce includes skilled…
Added 2 hours ago
ENGINEER MECHANICAL 4
Huntington Ingalls Industries
Newport News, VA
We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII’s diverse workforce includes skilled…
Added 2 hours ago
Artificial Intelligence/Machine Learning (AI/ML) Engineer (2026-0238)
Acclaim Technical Services
Chantilly, VA
We are actively hiring an Artificial Intelligence/ Machine Learning with TS/SCI w/ Poly to join our team working in Chantilly, VA. You will design, develop, test, evaluate, and deploy AI/ML…
Added 2 hours ago
Software Test Engineer (Integrated Training Systems) - 30882
Huntington Ingalls Industries
Virginia Beach, VA
Know & Grow Your People – Commit to learning and supporting team success.
Added 2 hours ago
SENIOR MODEL BASED SYSTEMS ENGINEER
HII
Newport News, VA
E92 Model Based Engineering (MBe) team, is seeking an experienced and highly motivated Model-Based Engineer to join our innovative team and support our efforts to revolutionize how we…
Added 2 hours ago
ENGINEER NUCLEAR 4
HII
Newport News, VA
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled…

Closed listing

Deloitte

Google AI Architect

Nashville, TN, 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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