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Sr. Plant Engineer
Pfizer
Sanford, NC
- $99,200 to $165,400 USD / year
Lead/support capital projects , including equipment evaluation, justification, purchase, installation, facility integration, and replacement planning.
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Senior Data Engineer
Unum Group
Atlanta, GA · Chattanooga, TN · Portland, ME · Columbia, SC
The Senior Data Engineer will lead the design and delivery of complex data pipelines, ETL/ELT processes, data warehouses, data marts, data models, and integration solutions using…
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Engineer/Principal Engineer Systems
Northrop Grumman
Morrisville, NC
Northrop Grumman Space Systems (NGSP) is looking for you to join our team as a Systems Engineer - Level 2 or 3 based out of Morrisville, NC.
Added 1 min ago
Java Backend Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
CGI is seeking a hands-on API / Full Stack Engineer to design, develop, test, and support highly scalable enterprise services and APIs. The ideal candidate brings strong Java/Spring…
Added 1 min ago
Sr. Backend Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
CGI is seeking a hands-on Senior API / Full Stack Engineer to design, develop, test, and support highly scalable enterprise services and APIs. The ideal candidate brings strong Java/Spring…
Added 1 min ago
Sr. Data Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
CGI is seeking an experienced Senior Data Engineer with a strong database development background to design, develop, and modernize enterprise data solutions. The ideal candidate will bring…
Added 1 min ago
Front End Software Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
CGI is seeking to hire a Front-End Software Engineer with deep Angular expertise and strong cross stack experience in Java (Spring Boot) and NodeJS. In this role, you'll modernize a legacy…
Added 1 min ago
AI Engineer (On-Site, IN)
Allied Solutions, LLC
Carmel, IN
As an Artificial Intelligence Engineer, you will architect, fine-tune, and deploy AI solutions to streamline operations and unearth insights, driving innovation across diverse industries.…
Added 1 min ago
Sr. Full Stack Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
CGI is seeking to hire an experienced Full Stack Engineer with strong expertise in Java, microservices, API development, and AWS cloud technologies.
Added 1 min ago
Entry Level Building Automation Systems (BAS) Engineer - Summer 2027
Jacobs
Cary, NC
The entry level engineer will support senior BAS and I&C (Instrumentation & Controls) engineers in the integration and control of various building systems including HVAC (heating,…
Added 1 min ago
API/Backend Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
CGI is seeking to hire a hands-on Java Backend Engineer to design, develop, test, and support highly scalable enterprise services and APIs. The ideal candidate brings strong Java/Spring…
Added 1 min ago
Sr. Front End Software Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
CGI is hiring a Front-End Software Engineer with deep Angular expertise and strong cross-stack experience in Java (Spring Boot) and NodeJS. In this role, you'll modernize a legacy…
Added 1 min ago
Java Full Stack Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
. Lead code reviews, unit testing, and integration testing to ensure delivery quality
Added 1 min ago
Full Stack Engineer
CGI Technologies and Solutions, Inc.
Cary, NC
CGI is seeking to hire an experienced Full Stack Software Engineer with Customer Service Platform/Contact Center technology experience to join our Digital Platform Engineering team.
Added 1 min ago
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Applications Engineers, Agentic Workflows
Rescale
Remote, United States
- $156,000 to $180,000 USD / year
…intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. Joining Rescale means becoming part of a…
Added 1 min ago
Co-op - Full-Stack Life Sciences Engineer
Labcorp
Durham, NC
Labcorp is seeking a Full-Stack Life Sciences Software Engineer Co-op to join our Office of the Chief AI Officer (CAIO) Team located in Burlington, NC or Durham, NC with the flexibility of…
Added 1 min ago
Senior Cybersecurity Architect (Cloud)
Amentum
Raleigh, NC
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
Added 1 min ago
Forward Deploy Engineer
IBM
Raleigh, NC
Integration Architecture Design: Define the integration architecture and data transformation across various end systems, including defining the integration across different lines of…
Added 1 min ago
Solutions Architect - Nutanix Database Service
Nutanix
Raleigh, NC
Scripting & Integration: Familiarity with REST APIs, Python, PowerShell, Ansible, or Terraform for integrating database workflows into broader CI/CD or ITOM platforms (e.g., ServiceNow).
Added 1 min ago
Cyber Full-Stack Software Engineer
Deloitte
Charlotte, NC · Raleigh, NC
…next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern…
Added 1 min ago
Lead Solution Architect with AI Experience
Deloitte
Raleigh, NC · Charlotte, NC
Guiding engineering teams through solution design, Amazon Bedrock integration, Anthropic Claude implementation, application programming interface strategy, security controls, and production…
Added 1 min ago
Azure Architect - Project -Software Engineer III
Deloitte
Charlotte, NC · Raleigh, NC
As a Project - Software Engineer III on the AI & Engineering team, you will be responsible for:
Added 1 min ago
Information Security Engineer - Cyber Threat Intelligence
U.S. Bank
Charlotte, NC
U.S. Bank is seeking a hands-on Information Security Engineer to develop Python-based automation and AI-enabled technology supporting our Cyber Threat Intelligence organization. This role…
Added 1 min ago
Senior Full-Stack AI Engineer
CGI Technologies and Solutions, Inc.
Charlotte, NC
CGI is seeking a Senior Full-Stack AI Engineer to join our dynamic team and help design, build, and deliver scalable, AI-powered applications. In this role, you’ll work across the…
Added 1 min ago
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Principal Systems Studies Engineer
Mitsubishi Electric Power Products, Inc.
Remote, United States
- $130,805 to $161,582 USD / year
Position: Principal System Studies Engineer | Power Systems Engineering Division (PSED)

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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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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