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Remote Splunk Architect Jobs in Oregon (NOW HIRING)

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... Familiarity with observability and AIOps platforms including DataDog, Dynatrace, Moogsoft, Splunk ...

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... Familiarity with observability and AIOps platforms including DataDog, Dynatrace, Moogsoft, Splunk ...

$52.25 - $72/hr

This is a remote position. Responsibilities: * The role of the python developer will be to build ... Collaborate with architects, analysts, product specialists, and other software engineers. * Conduct ...

Architect and implement an optimized Harness setup for integration, scale, and repeatability ... Remote within the US, near a major airport as travel is roughly 25% throughout the calendar year.

DevOps/Observability Engineer

OR · Remote

$52.75 - $72.25/hr

Remote - USA What you will do: We are seeking a highly experienced Senior DevOps/Observability ... Unified Pipeline Architecture: Proven ability to design and implement end-to-end observability ...

Senior Corporate Engineer II

OR · On-site +1

$104.40K - $143.40K/yr

... architectural judgment to high-stakes systems. We are a dynamic team that loves tackling unique ... The role is remote-friendly within North America, with a preference for candidates in the Pacific ...

Provide quality assurance feedback during system deployments to ensure architecture meets ... Splunk Enterprise * Tenable Security Center/Nessus * Invicti/Acunetix * Appgate * Okta * GitLab

Remote Splunk Architect information

What are the key skills and qualifications needed to thrive as a Remote Splunk Architect, and why are they important?

To thrive as a Remote Splunk Architect, you need deep expertise in Splunk Enterprise deployment, data analytics, and cybersecurity, typically backed by a relevant degree and Splunk certifications (such as Splunk Enterprise Certified Architect). Familiarity with technical tools like Splunk Enterprise, Splunk Cloud, scripting languages (Python, Bash), and cloud platforms is essential. Strong problem-solving, communication, and project management skills help architects effectively collaborate with remote teams and stakeholders. These abilities are vital to designing robust, secure, and scalable Splunk solutions that meet organizational needs in distributed environments.

What are some common challenges faced by Remote Splunk Architects, and how can they be effectively addressed?

Remote Splunk Architects often encounter challenges such as coordinating with distributed teams, ensuring secure access to sensitive data, and maintaining consistent deployment standards across environments. To address these issues, it's important to establish clear communication channels, utilize secure VPNs or access management tools, and document best practices for Splunk implementation. Regular virtual meetings and collaborative platforms can help keep all stakeholders aligned, while automated deployment tools can streamline consistency and reliability in large-scale Splunk environments.

What does a Remote Splunk Architect do?

A Remote Splunk Architect is responsible for designing, implementing, and managing Splunk environments to help organizations collect, analyze, and visualize machine-generated data. They work remotely to assess business requirements, create scalable Splunk architectures, and optimize system performance. Their duties include configuring data ingestion, developing dashboards, and advising on security and compliance best practices. They also collaborate with IT teams to ensure Splunk solutions meet organizational needs and support troubleshooting and maintenance remotely.

What is the difference between Remote Splunk Architect vs Remote Splunk Engineer?

AspectRemote Splunk ArchitectRemote Splunk Engineer
CredentialsSplunk Certified Architect, relevant certificationsSplunk Certified Power User, basic certifications
Work EnvironmentDesigns and oversees Splunk solutions, strategic planningDevelops, implements, and maintains Splunk dashboards and alerts
Industry UsageUsed in enterprise IT, security, and data analyticsUsed in IT operations, security, and data analysis teams

Remote Splunk Architects focus on designing and planning Splunk solutions, requiring advanced certifications and strategic skills. In contrast, Remote Splunk Engineers handle the implementation and maintenance of Splunk systems, often with more technical and hands-on responsibilities. Both roles are vital in organizations leveraging Splunk for data analysis and security, but they differ in scope and seniority.

What are popular job titles related to Remote Splunk Architect jobs in Oregon? For Remote Splunk Architect jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Splunk Architect jobs in Oregon look for? The top searched job categories for Remote Splunk Architect jobs in Oregon are:
What cities in Oregon are hiring for Remote Splunk Architect jobs? Cities in Oregon with the most Remote Splunk Architect job openings:

Apps AI Solution Architect AMS

Atos

Remote

$59 - $77.75/hr

Other

Posted 6 days ago


Job description

About Atos Group

Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. 8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.

The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Apps AI Architect 539988

Location: North America (Remote)

Role Summary

The Apps AI Architect will play a pivotal role in transforming how we design, build, and manage enterprise applications in the GenAI era. This role blends deep application architecture expertise - spanning UI/UX, front-end, back-end, integration, data, and cloud - with hands-on AI engineering skills to infuse Artificial Intelligence (including Generative and Agentic AI) across the full application lifecycle - from design and development to modernization and ongoing operations. The Architect will drive innovation, develop reusable AI patterns, and deliver proof-of-value (PoV) initiatives that convert emerging technology possibilities into tangible business impact.

Key Responsibilities

  • Architect AI-Native Applications: Design and implement architectures that integrate AI models (LLMs, predictive, and agentic systems) into application workflows to enable reasoning, automation, and contextual decision-making.
  • End-to-End Application Design: Lead the design of UI/UX flows, user-facing AI interactions, conversational interfaces, and AI-augmented user journeys across web and mobile applications.
  • Drive Modernization Through AI: Reimagine legacy and digital applications by embedding AI capabilities that enable modernization, optimization, and transformation across app portfolios. Design modernization frameworks leveraging AI for architecture discovery, business-rules extraction, and application rationalization. Embed intelligence in re-platformed or refactored applications to create truly AI-native modernization.
  • Legacy-to-Modern Mapping: Architect solutions that transform legacy applications into modern Java, .NET, microservices, or cloud-native platforms while preserving core business rules and logic.
  • Infuse AI Across Dev & Ops: Partner with delivery and support teams to embed AI in software engineering, testing, incident management, and observability - driving efficiency, resilience, and proactive operations.
  • Tooling & Frameworks: Evaluate, integrate, and optimize AI-assisted tools (e.g., code translators, test generators, documentation bots) within modernization pipelines to accelerate delivery.
  • Integration & Ecosystem: Define strategies to integrate modernized applications into enterprise ecosystems, including APIs, event-driven architectures, and cloud environments.
  • Lead Proofs of Value (PoVs): Design and execute AI-centric PoVs to validate new technologies, tools, and architectures for clients.
  • Collaborate & Evangelize: Partner with pre-sales, delivery, and client stakeholders to identify AI opportunities, shape proposals, and articulate the business value of AI-native transformation.
  • Develop Reusable Assets: Create frameworks, accelerators, and reference architectures to scale adoption of GenAI and LLM-enabled solutions across multiple accounts.

Required Skills & Experience

  • 10-15 years of experience in Application Architecture, Engineering, or Digital Transformation, with at least 2-3 years in AI/ML or GenAI implementation.
  • Strong experience with Azure OpenAI, OpenAI APIs, Vertex AI, AWS Bedrock, LangChain, LlamaIndex, or similar LLM platforms.
  • Deep understanding of modern UI/UX architecture, responsive front-end design, and frameworks such as React, Angular, Vue, or equivalent.
  • Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and API orchestration.
  • Experience with leading AI-assisted productivity tools such as Claude, Gemini Code Assist, and GitHub Copilot.
  • Familiarity with observability and AIOps platforms including DataDog, Dynatrace, Moogsoft, Splunk AIOps, and ServiceNow AIOps.
  • Hands-on exposure to LLM-based ITSM agents and RAG (Retrieval-Augmented Generation) frameworks.
  • Experience with MLOps/GenAIOps for continuous model improvement within modernization initiatives.
  • Strong background in application modernization (re-platforming, containerization, microservices, and cloud-native design).
  • Solid understanding of legacy technologies such as Mainframe, Java, and .NET.
  • Knowledge of PromptOps, model observability, AI lifecycle management, and related operational frameworks.
  • Excellent communication, stakeholder management, and customer-facing engagement skills.

Preferred Qualifications

  • Certifications in AI Engineering (Azure, AWS, or Google) or equivalent credentials.
  • Prior experience working in Application Services, AMS, or ADM environments.
  • Exposure to agentic workflows, AI observability, or RAG (retrieval-augmented generation) frameworks.
  • The role requires active engagement across the full lifecycle - from pre-sales solution shaping through design, development, implementation, and ongoing evolution of AI-native applications.
  • Given the evolving nature of AI-native architectures, we welcome candidates who may not meet every requirement but demonstrate strong foundational skills and the ability to grow into the role.

Why This Role Matters

This role is central to our AI-Native Application Services transformation. The Apps AI Architect will directly shape how enterprise applications evolve - blending the power of AI, data, and cloud to create intelligent, adaptive, and self-improving systems that redefine how our clients build, run, and scale their businesses.