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Ai Transformation Jobs in Remote, OR (NOW HIRING)

Team8

Charm Security-Forward Deployed AI Engineer

OR · On-site +1

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 ...

Atos

Head of AI

OR · On-site +1

About Atos Group Atos Group is a global leader in digital transformation with c. 67,000 employees ... AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix ...

Atos

Head of AI

OR · Remote

About Atos Group Atos Group is a global leader in digital transformation with c. 67,000 employees ... AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix ...

SOSi

Senior Data Scientist

OR · On-site

The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

SOSi

Senior Data Scientist

OR · Remote

The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

SOSi

Senior Data Scientist

OR · On-site +1

The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

... transformation frameworks and data products. As a Senior Data Engineer, you will design and ... Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data ...

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Ai Transformation information

See Remote, OR salary details

$10

$37

$82

How much do ai transformation jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai transformation in Remote, OR is $37.98, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $48.03 per hour, depending on experience, location, and employer.

What is the difference between Ai Transformation vs Data Scientist?

AspectAi TransformationData Scientist
Required CredentialsTypically requires degrees in computer science, AI, or related fields; certifications in AI and machine learningRequires degrees in statistics, computer science, or related fields; certifications in data analysis and machine learning
Work EnvironmentOften within corporate or consulting settings focusing on AI strategy and implementationPrimarily in data analysis, modeling, and research environments across various industries
Employer & Industry UsageUsed by organizations implementing AI solutions to transform business processesEmployed by companies analyzing data to derive insights and inform decisions

While both roles involve AI and data skills, Ai Transformation focuses on leading AI strategy and integrating AI solutions into business processes, whereas Data Scientists analyze data to generate insights and build models. Understanding these differences helps organizations assign the right talent for their AI initiatives.

What job categories do people searching Ai Transformation jobs in Remote, OR look for?

The top searched job categories for Ai Transformation jobs in Remote, OR are:

What cities near Remote, OR are hiring for Ai Transformation jobs?

Cities near Remote, OR with the most Ai Transformation job openings:

Ai Transformation jobs near you
Infographic showing various Ai Transformation job openings in Remote, OR as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $78,996 per year, or $38 per hour.

Charm Security-Forward Deployed AI Engineer

Team8

OR • On-site, Remote

Full-time

Re-posted 6 days ago

Job description

Description
Charm Security is building AI-powered defense systems that protect people from scams and social engineering attacks targeting financial institutions. Our platform combines real-time conversation analysis, behavioral science, and AI agents to break the scam spell before harm occurs.
Backed by Team8, we're deploying our technology with banks and financial services companies to protect their customers at the moment of risk. Our product suite includes a Prevention Agent for real-time customer protection, a Copilot for fraud analysts, and a Customer-Facing Agent for self-service fraud reporting.
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