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Ai Implementation Jobs in Remote, OR (NOW HIRING)

SOSi

Senior Data Scientist

OR · Remote

Essential Job Duties: * The contractor shall design and implement advanced ML models and ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

SOSi

Senior Data Scientist

Myrtle Point, OR

Essential Job Duties: * The contractor shall design and implement advanced ML models and ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

SOSi

Data Scientist

OR · Remote

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows. Preferred Qualifications:

SOSi

Senior Data Scientist

OR · On-site +1

Essential Job Duties: * The contractor shall design and implement advanced ML models and ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

SOSi

Data Scientist

Myrtle Point, OR

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows. Preferred Qualifications:

SOSi

Data Scientist

OR · On-site +1

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows. Preferred Qualifications:

Lumen Technologies

Software Developer II

OR · Remote

As the company advances AI-ready connectivity and digital infrastructure for customers around the ... Implement monitoring, reconciliation frameworks, and audit controls to improve operational ...

Lumen Technologies

Lead Software Engineer

OR · Remote

Lead design and implementation of AI-enabled field service capabilities, including work order summaries, technician recommendations, knowledge retrieval, anomaly detection, predictive insights, and ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Lumen Technologies

Principal Software Architect

OR · Remote

Apply AI-augmented engineering practices: LLM-assisted design, agentic workflow architecture ... Bridge the gap between architecture and implementation: stay present through delivery, validate ...

Lumen Technologies

Manager Operations

OR · Remote

$105K - $141K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Drive operational performance through the implementation and support of automation tools designed ...

Lumen Technologies

Sr Lead Solution Architect

OR · Remote

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... designs, review implementation approach, manage technical debt, ensure platform limits are ...

Lumen Technologies

Senior Software Engineer

OR · Remote

$84K - $112K/yr

Support AI enablement and automation initiatives, including work involving Databricks AI Genie ... Collaborate with product developers and other engineering team members to define and implement ...

Lumen Technologies

Principal Software Development Engineer

OR · Remote

$138K - $185K/yr

Incorporate AI to deliver solutions and deliver AI enabled solutions Software Engineering * Lead the design and implementation of MuleSoft-based integrations using API-led connectivity principles and ...

Sapiens

Software Developer

OR · On-site +1

Strong experience designing and implementing multi-tiered enterprise applications. * 5+ years ... We help insurers harness the power of AI and advanced automation to support core solutions for ...

Lumen Technologies

Principal Architect

OR · Remote

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Implement financial guardrails, policy-as-code, and workload placement strategies that improve cost ...

TALENT Software Services

Be Seen First

Tableau Engineer

OR · Remote

$60 - $70/hr

Design and implement highly optimized Custom SQL queries to structure, aggregate, and blend complex ... Use AI-assisted workflows to automate repetitive data-prep, QA, and refresh-scheduling tasks About ...

New

Sapiens

Sales Development Representative

OR · On-site +1

Build and configure AI-powered workflows and sequences - automating personalization, prioritizing ... implementation through to modernization and market transformation. Sapiens is headquartered in ...

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Showing results 21-40

All JobsAi Implementation JobsAi Implementation Jobs in Remote, OR

Ai Implementation information

See Remote, OR salary details

$39K

$103.4K

$167.8K

How much do ai implementation jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai implementation in Remote, OR is $103,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $120,900.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are popular job titles related to Ai Implementation jobs in Remote, OR?

For Ai Implementation jobs in Remote, OR, the most frequently searched job titles are:

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

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

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

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

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Remote, OR as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 56% Physical, 3% Hybrid, and 41% Remote job distribution, with an average salary of $103,416 per year, or $49.7 per hour.

Senior Data Scientist

SOSi

OR • Remote

Full-time

Re-posted 8 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment. 
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:

  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.
Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

Apply