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Weekend Remote Artificial Intelligence Jobs in Oregon

Atos

Head of AI

OR · On-site +1

Position : Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

Foth

Client Manager - Contaminated Sediment

Portland, OR · On-site +1

Flexible work location (remote or office) with approximately 25% travel . Primary Responsibilities ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Atos

Head of AI

OR · On-site +1

Position : Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... This position will lead the design, development, and implementation of Artificial Intelligence (AI ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Data Analytics/Business Intelligence Job Schedule: Full time Remote: No POSITION: Data Scientist I ... POSITION SUMMARY Data Scientists are responsible for the development and maintenance of Artificial ...

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Weekend Remote Artificial Intelligence information

What are the key skills and qualifications needed to thrive as a Weekend Remote Artificial Intelligence specialist?

To thrive as a Weekend Remote Artificial Intelligence Specialist, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or certifications. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and remote collaboration tools is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills for this role. These competencies ensure that AI projects are developed efficiently, issues are resolved promptly, and team collaboration remains effective even in a remote, weekend-based environment.

How does working as a Weekend Remote Artificial Intelligence specialist typically differ from standard weekday AI roles?

Weekend remote AI positions often focus on maintaining and monitoring AI systems, troubleshooting urgent issues, or supporting ongoing projects outside of regular business hours. You may work more independently, but will still collaborate with team members through digital channels to ensure smooth operations. This role can offer flexibility and the chance to manage critical incidents, making it a great fit for those who prefer non-traditional schedules or seek to supplement their weekday work. Additionally, weekend remote roles can provide unique exposure to real-time problem-solving and often serve as a stepping stone to more senior AI positions.

What is the difference between Weekend Remote Artificial Intelligence vs Weekend Remote Data Science?

AspectWeekend Remote Artificial IntelligenceWeekend Remote Data Science
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentRemote, project-based, collaborative teamsRemote, data-focused, cross-functional teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, tech, healthcare
Common Search IntentAI-specific roles, machine learning projectsData analysis, insights, predictive modeling

Weekend Remote Artificial Intelligence and Weekend Remote Data Science share similarities in remote work settings and required technical skills. However, AI roles focus more on developing algorithms and machine learning models, while Data Science emphasizes data analysis and insights. Both roles are in high demand across various industries and often overlap in skills and tools used.

What is a Weekend Remote Artificial Intelligence?

A Weekend Remote Artificial Intelligence job involves working on AI-related projects or tasks from a remote location, typically during weekends. These roles may include developing machine learning models, analyzing data, building AI-powered applications, or providing support for AI systems. The flexibility allows professionals to work part-time or as a side gig, often for companies needing support outside regular weekday hours. This type of job is ideal for those with AI expertise who seek flexible schedules and remote work opportunities.
What are popular job titles related to Weekend Remote Artificial Intelligence jobs in Oregon? For Weekend Remote Artificial Intelligence jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Artificial Intelligence jobs in Oregon look for? The top searched job categories for Weekend Remote Artificial Intelligence jobs in Oregon are:
What cities in Oregon are hiring for Weekend Remote Artificial Intelligence jobs? Cities in Oregon with the most Weekend Remote Artificial Intelligence job openings:
Weekend Remote Artificial Intelligence jobs near you

Head of AI

Atos

OR • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 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.
Position : Head of Artificial Intelligence
Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reporting and Scope
  • Reports to: Head of Data & AI - North America
  • Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
  • Geography: United States and Canada (remote/hybrid depending on location)
  • Travel: Up to 25-40% (client sites, executive briefings, industry events)

Key Responsibilities
• Practice strategy and roadmap
    • Define the North America AI practice strategy aligned to corporate goals and market demand.
    • Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
    • Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
    • Lead the delivery team for AI across NA including building and managing talent and ensuring ulitization targets for the team

• Portfolio, offerings, and thought leadership
    • Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
    • Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
    • Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.

• Go-to-market and revenue growth
    • Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
    • Help Represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
    • Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.

• Delivery excellence and customer outcomes
    • Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
    • Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
    • Drive customer adoption, measurable business value, and referenceability through disciplined success management.

• Talent, org design, and culture
    • Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
    • Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
    • Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.

• Governance, security, and responsible AI
    • Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
    • Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
    • Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.

• Financial management and operations
    • Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
    • Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
    • Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Required Qualifications
  • 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
  • Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
  • Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
  • Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
  • Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
  • Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
  • Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.

Preferred Qualifications
  • Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
  • Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
  • Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
  • Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
  • Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.

Core Competencies
  • Strategic leadership and business building
  • Consultative selling and executive stakeholder management
  • AI engineering rigor and delivery governance
  • Productization mindset (offerings, accelerators, repeatability)
  • Talent development and organizational design
  • Cross-functional collaboration in matrix environments
  • Strong communication: narrative building, proposals, and presentations

Tools and Technologies (Representative)
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores
  • GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails
  • Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed
  • MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling

Work Environment
  • Remote or hybrid within North America; may require proximity to major client hubs.
  • Travel expectation up to 25-40% based on client needs and business development cycles.
  • This role may require occasional work outside standard business hours to support executive meetings across time zones.

Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.

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