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Embedded Ai Jobs in Oregon (NOW HIRING)

Team8

Charm Security-Forward Deployed AI Engineer

OR · On-site +1

As a Forward Deployed AI Engineer, you will work directly alongside customers to understand how ... You love working directly with customers and becoming deeply embedded in their business * You're ...

Ping Identity

OR

$128K - $160K/yr

... AI platform and infrastructure companies, and the hyperscalers and startups defining agentic AI ... stay embedded in the market where these partnerships are made. What You'll Do * Identify ...

SentinelOne

OR · On-site

As a Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of ... Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless ...

SentinelOne

OR

$104K - $143K/yr

As a Senior Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of ... Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless ...

DocuSign

Lead AI Solutions Delivery Engineer

What you'll do As a Lead AI Solutions Delivery Engineer, you will be on the front lines, embedded directly with strategic enterprise customers to solve complex business problems using Docusign ...

phData

OR · On-site

About the Role The Forward Deployed AI Product Engineer is a customer-embedded, full-stack engineer who builds AI-native applications and agents that solve high-value business problems on top of the ...

Cloudera

OR

Manager, Applied AI Strategy and Operations Job Purpose: As a Manager, Applied AI Strategy and ... Act as an embedded, highly trusted thought partner to technical and commercial leaders. Design and ...

Anno.ai

OR · On-site

$104K - $143K/yr

We actively monitor for synthetic profiles, proxy networks, and AI interview assistants; any ... Experience optimizing models for memory and CPU constrained systems (e.g., embedded systems ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR

$141K - $191K/yr

Help define the next wave of AI technology that harnesses the proven advantages of Intel ... Experience with embedded or real-time Linux, device-driver / platform bring-up, or other low-level ...

Zencoder

OR

$130K - $200K/yr

You'll be joining an AI-first organization where AI is embedded across product development, operations, GTM, and decision-making. We expect you to bring new ideas, frameworks, workflows, and systems ...

LMI

$102K - $134K/yr

Ensure seamless integration between hardware, embedded software, cloud platforms, and AI-enabled capabilities. Product Development & Engineering Excellence * Lead products through the complete ...

SentinelOne

OR

... AI, and Security, and all related delivery functions. You will set the standards, forums, and tools that enable embedded delivery teams to design consistent, high-quality solutions without ...

Actian Corporation

OR · On-site

You'll own GTM for Actian's vector, embedded edge, and multi-model databases across 2 motions: net new acquisition and cross-sell/expansion. If you've marketed a database product, understand how AI ...

Deloitte

Oracle Tech Cloud Manager

Portland, OR

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle Cloud, including Oracle AI Agent Studio, Fusion embedded agents, and Oracle Cloud Infrastructure (OCI ...

Comet

DevRel

OR · On-site +1

$180/hr

Preferably based in San Francisco or the Bay Area : you'll be embedded in the local AI scene and representing Opik at events Nice to Have * An existing following or presence in the AI/developer ...

Valtech

OR · On-site

$63 - $83/hr

This is a hands-on, embedded role where you will work directly with client engineering teams to ... Support the design and deployment of AI-enabled and data-driven solutions on GCP * Collaborate with ...

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Showing results 21-40

All JobsEmbedded Ai JobsEmbedded Ai Jobs in Oregon

Embedded Ai information

See Oregon salary details

$74K

$162.2K

$184K

How much do embedded ai jobs pay per year?

As of Aug 9, 2026, the average yearly pay for embedded ai in Oregon is $162,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,000.00 and $182,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the embedded AI position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What is an embedded AI?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are some common challenges faced by embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

What are the most commonly searched types of Embedded Ai jobs in Oregon? The most popular types of Embedded Ai jobs in Oregon are:
What are popular job titles related to Embedded Ai jobs in Oregon? For Embedded Ai jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Embedded Ai jobs in Oregon look for? The top searched job categories for Embedded Ai jobs in Oregon are:
Embedded Ai jobs near you
Infographic showing various Embedded Ai job openings in Oregon as of August 2026, with employment types broken down into 8% Internship, 49% Full Time, and 43% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $162,170 per year, or $78 per hour.

Charm Security-Forward Deployed AI Engineer

Team8

OR • On-site, Remote

Full-time

Posted 12 days ago

Job description

Description
Charm Security is looking for a Forward Deployed AI Engineer to help the world's leading financial institutions deploy the next generation of AI agents for fraud, scams, and cybercrime prevention and resolution.
As a Forward Deployed AI Engineer, you will work directly alongside customers to understand how fraud teams operate, configure and tailor AI agents to their environment, solve complex operational challenges, and continuously improve deployments based on real-world usage.
You'll operate at the intersection of engineering, AI, customer success, and fraud operations. Every customer is different, and you'll be responsible for turning Charm's Agentic AI Workforce into a solution that feels purpose-built for each institution.
This role is ideal for someone who loves solving problems, enjoys working directly with customers, and wants to help shape how AI transforms fraud and scam prevention in financial institutions. You'll spend time on customer sites, becoming a trusted technological partner throughout their fraud AI transformation journey.
Key Responsibilities
  • Work directly with fraud investigators, analysts, contact center teams, and executives to understand workflows and operational challenges
  • Configure, customize, and optimize Charm's AI agents to match each customer's fraud operations, policies, and processes
  • Build integrations with customer systems, data sources, and enterprise applications
  • Rapidly prototype creative solutions for customer-specific requirements
  • Analyze production usage, identify opportunities for improvement, and continuously evolve customer deployments
  • Partner closely with Product and Engineering to translate customer needs into new capabilities
  • Act as a trusted technical advisor throughout the customer's AI fraud transformation journey
  • Travel regularly to customer sites across the United States for workshops, deployments, training, and executive sessions

Who You Are
  • You enjoy solving real-world problems where there isn't an obvious answer
  • You love working directly with customers and becoming deeply embedded in their business
  • You're highly technical but equally comfortable collaborating with frontline teams
  • You thrive in ambiguous environments where creativity matters as much as technical execution
  • You naturally think outside the box and enjoy building elegant solutions for unique customer challenges
  • You take ownership and are motivated by delivering measurable customer outcomes
  • Strong communicator who can work across technical and non-technical stakeholders
  • Thrive in fast-paced startup environments where speed and learning matter

Requirements
  • +4 years of experience in forward-deployed engineering, solution engineering, implementation engineering, or software engineering
  • Strong software engineering skills with experience building integrations, APIs, automation, or backend systems
  • Experience working with AI systems, LLMs, AI agents, or agentic workflows
  • Experience working directly with enterprise customers on technical deployments or complex implementations
  • Excellent communication skills with the ability to explain technical concepts to both technical and business audiences
  • Ability to travel throughout the United States and Canada (approximately 25-50%)

Advantages
  • Experience in fraud, financial crime, cybersecurity, fintech, banking, or financial services
  • Familiarity with the fraud and communication platforms' technology stack
  • Startup experience or experience in fast-moving, customer-facing technical roles
  • Degree in Computer Science, Engineering, or equivalent practical experience

Apply