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Manager Robotic Process Automation Accenture Jobs in Oregon

Knovalearning

PE Teacher 2026-2027

Portland, OR · On-site

$42K - $79K/yr

You'll set clear routines and expectations so class time is spent moving instead of managing, because PE at RPA is structured on purpose. Students know what to expect when they walk in, transitions ...

Actalent

Automation Engineer

Oregon City, OR · On-site

Build and test robotic cells and automation prototypes to validate new concepts. * Identify process ... improvement opportunities and recommend innovative automation approaches. * Collaborate with ...

Actalent

Automation Engineer

Oregon City, OR

Build and test robotic cells and automation prototypes to validate new concepts. * Identify process ... improvement opportunities and recommend innovative automation approaches. * Collaborate with ...

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All JobsRobotic Process Automation Accenture JobsManager Robotic Process Automation Accenture JobsManager Robotic Process Automation Accenture Jobs in Oregon

Manager Robotic Process Automation Accenture information

What is the difference between Manager Robotic Process Automation Accenture vs RPA Developer Accenture?

AspectManager Robotic Process Automation AccentureRPA Developer Accenture
CredentialsTypically requires a bachelor’s degree and experience in RPA toolsRequires a bachelor’s degree, often with certifications in RPA platforms
Work EnvironmentLeads teams, manages projects, and oversees RPA implementationsDevelops and tests RPA bots under supervision or team guidance
Industry UsageUsed across industries for automation strategy and project managementPrimarily involved in coding, designing, and deploying RPA solutions

The main difference is that the Manager Robotic Process Automation Accenture oversees RPA projects and manages teams, while the RPA Developer Accenture focuses on building and implementing automation solutions. Both roles require technical skills, but the manager role emphasizes leadership and strategic planning.

What are the most commonly searched types of Robotic Process Automation Accenture jobs in Oregon?

The most popular types of Robotic Process Automation Accenture jobs in Oregon are:

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For Manager Robotic Process Automation Accenture jobs in Oregon, the most frequently searched job titles are:

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The top searched job categories for Manager Robotic Process Automation Accenture jobs in Oregon are:

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Cities in Oregon with the most Manager Robotic Process Automation Accenture job openings:

Manager Robotic Process Automation Accenture jobs near you
Infographic showing various Manager Robotic Process Automation Accenture job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Portland, OR • Remote

Full-time

Re-posted 15 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply