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Added 9 mins ago
Case Engineer
Actalent
Kingsville, MO
The Case Engineer develops and improves manufacturing processes used to produce metallic cartridge cases across multiple calibers. This role serves as a technical subject-matter expert for…
Added 9 mins ago
Software Engineer – Splunk Platform Authorization
Cisco
Clayton, MO
The application window is expected to close on: 10/30/2026
Added 9 mins ago
Senior Software Engineer – Splunk Platform Authorization
Cisco
Clayton, MO
As a Senior Software Engineer on the Splunk Platform Authorization team, you’ll help shape the architecture of systems that enable secure, high-performance authorization across Splunk’s…
Added 9 mins ago
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Systems Test Engineer
Actalent
Bridgeton, MO
- $93,000 to $125,000 USD / year
The Systems Test Engineer is responsible for designing, planning, and executing systems-level testing for complex products, systems, and subsystems that may include electrical, mechanical,…
Added 9 mins ago
Engineer III- Technology
Edward Jones
St. Louis, MO
This position is on the Digital Product Development team, responsible for building, enhancing, and supporting critical applications and systems. The role focuses on delivering scalable…
Added 10 mins ago
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Lead Principal Site Reliability Engineer - (work in Vienna VA location)
Oracle
Jefferson City, MO
- $96,300 to $264,100 USD / year
The successful candidate will partner with application development, platform engineering, cloud infrastructure, networking, cybersecurity, and operations teams to build resilient, secure,…
Added 10 mins ago
Principal Software Engineer
Highmark Health
Jefferson City, MO
We are seeking a visionary Principal Software Engineer responsible for building scalable public-facing software applications across Digital Member Experience channels. As a key player…
Added 10 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Jefferson City, MO
Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges
Added 10 mins ago
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Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Jefferson City, MO
- $169,300 to $304,700 USD / year
…next-generation applications. We take ownership of the design and development of core compute interfaces, virtualization management, APIs, and low-level platform…
Added 10 mins ago
Site Reliability Engineer
Highmark Health
Jefferson City, MO
…collaboratively with other IT, cybersecurity, facility, AI and application teams to resolve issues and to conduct root cause…
Added 10 mins ago
Google Infrastructure and Security Lead Architect
Deloitte
St. Louis, MO · Kansas City, MO
…multi-tenant landing zones and robust networking topologies to guiding application migration strategies. A critical component of this role is embedding security by design-leveraging Google…
Added 10 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 10 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Kansas City, MO · St. Louis, MO
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 10 mins ago
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Knowledge Graph Architect
Eliassen Group
Jefferson City, MO
- $100 to $120 USD / hour
Strong experience in knowledge graph architecture, ontology development, semantic architecture, knowledge engineering, enterprise/data architecture, or AI/ML architecture.
Added 10 mins ago
EG
Dev Lead
Eliassen Group
Jefferson City, MO
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 24 mins ago
Principal Platform Engineer – EIP / CCaaS
Navy Federal Credit Union
Vienna, VA
…management, and production operations. The Principal Platform Engineer will partner closely with Enterprise Architecture, Product, SRE, Cybersecurity, Infrastructure, Network/Telephony,…
Added 24 mins ago
Senior Palantir AI and Data Science Engineer - Secret Clearance Required
Deloitte
Rosslyn, VA
2+ years of experience with pipeline and application development within Palantir Foundry
Added 24 mins ago
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Critical Facilities Chief Engineer
TEKsystems
Ashburn, VA
- $130,000 to $150,000 USD / year
The Chief Engineer serves as the primary technical authority on site, bridging shift-based operations and site-level leadership. This position strengthens change management quality, vendor…
Added 24 mins ago
Foundry Developer
CACI International
Ashburn, VA
Workshop application development: Complex, multi-page UIs with variables, events, object views, and Actions wired in.
Added 24 mins ago
COMSEC Engineer
Huntington Ingalls Industries
Springfield, VA
…network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency…
Added 24 mins ago
Software Test Engineer (Integrated Training Systems) - 30882
Huntington Ingalls Industries
Virginia Beach, VA
HII Mission Technologies’ System Integration group is seeking a Software Test Engineer to join our Integrated Training Systems Software Development team. In this role, you’ll support the…
Added 24 mins ago
Front-end Engineer 5
Capital One
McLean, VA
…HTML, CSS/SCSS, and advanced content management systems. As an engineer on this team, you will dive into a robust, cloud-hosted environment with an emphasis on rigorous testing,…
Added 25 mins ago
Site Reliability Engineer
Highmark Health
Richmond, VA
…collaboratively with other IT, cybersecurity, facility, AI and application teams to resolve issues and to conduct root cause…
Added 25 mins ago
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Building Engineer (1st Shift)
CBRE
Petersburg, VA · Richmond, VA · Chester, VA · Colonial Heights, VA · Hopewell, VA
- $31.25 to $40.87 USD / hour
As a CBRE Building Engineer, you will be responsible for monitoring, maintaining and repairing building system operations and the performance of various areas including plumbing,…
Added 25 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Richmond, VA
- $100 to $120 USD / hour
Strong experience in knowledge graph architecture, ontology development, semantic architecture, knowledge engineering, enterprise/data architecture, or AI/ML architecture.

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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