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Mistral Jobs in Oregon (NOW HIRING)

Five9

Vice President, Data Science

OR · On-site +1

Strong understanding of commercial and open-source model ecosystems (e.g., OpenAI, Anthropic, Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model Development ...

All JobsMistral JobsMistral Jobs in Oregon

Mistral information

See Oregon salary details

$15.9K

$255.1K

$409.2K

How much do mistral jobs pay per year?

As of Sep 15, 2026, the average yearly pay for mistral in Oregon is $255,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $211,500.00 and $317,200.00 per year, depending on experience, location, and employer.

What is a Mistral?

Mistral jobs refer to roles related to Mistral, which can indicate either a workflow orchestration service in IT or positions at Mistral AI, a company specializing in artificial intelligence and large language models. In the context of workflow orchestration, Mistral jobs involve creating, managing, and monitoring automated workflows, often in cloud or DevOps environments. At Mistral AI, jobs can include research, software engineering, and AI model development. Responsibilities usually focus on building scalable, efficient systems or advancing state-of-the-art machine learning technologies.

What are the key skills and qualifications needed to thrive as a Mistral engineer?

To thrive as a Mistral Engineer, you need a solid background in software engineering, machine learning, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with distributed systems, and version control tools such as Git are typically required. Strong problem-solving skills, collaboration, and adaptability help individuals excel in this dynamic, innovative environment. These competencies are crucial for driving advancements in AI technology and delivering robust, scalable solutions.

What are some typical challenges faced by Mistral engineers when integrating AI models into production environments?

Mistral engineers often encounter challenges such as ensuring model scalability, managing latency, and maintaining robust security when deploying AI models into production. They must frequently collaborate with data scientists, DevOps, and product teams to fine-tune models, monitor real-world performance, and address unexpected behavior. Staying updated with rapid advancements in machine learning frameworks and cloud infrastructure is also crucial. Effective communication and agile problem-solving are key to overcoming these hurdles and delivering reliable AI solutions.

What is the difference between Mistral vs Data Scientist?

AspectMistralData Scientist
Required CredentialsTypically requires a background in engineering, physics, or related fields; certifications are optionalRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentOften works in research labs, tech companies, or startups focusing on AI and machine learningWorks in various industries including finance, healthcare, and tech, analyzing data to inform decisions
Employer & Industry UsageUsed mainly in AI research and development, especially in natural language processingWidely used across industries for data analysis, predictive modeling, and business insights

While both Mistral and Data Scientists work with advanced technology, Mistral typically focuses on AI research and development, often requiring a strong engineering background. Data Scientists analyze data to generate insights across industries. The roles overlap in technical skills but differ in focus and application.

What is it like to work at Mistral?

Working as a Mistral involves engaging in roles that may require technical skills, teamwork, and adherence to safety protocols. Employees often work in collaborative environments with a focus on efficiency and quality, and may need to be adaptable to changing project demands or schedules.

What are popular job titles related to Mistral jobs in Oregon?

For Mistral jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Mistral jobs in Oregon look for?

The top searched job categories for Mistral jobs in Oregon are:

Mistral jobs near you
Infographic showing various Mistral job openings in Oregon as of September 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $255,118 per year, or $122.7 per hour.

Lead Agent Architect - Senior Manager

Salem, OR • On-site

Ernst & Young Oman
See more jobs at Ernst & Young Omanexternal

$144K - $329K/yr

Other

Medical, Dental, Retirement, PTO

Posted 11 days ago

Job description

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

We’re seeking a strategic and technically adept Senior Manager Architect to lead the design and implementation of high autonomy Agentic AI systems in the enterprise. The scope of this role if across Foundation Model management, Safety, Agentic design, AI application integration and . This role is ideal for someone who can balance hands‑on delivery with cross‑functional coordination, ensuring knowledge‑based AI adoption through robust compliance, monitoring, and integration practices. The successful candidate will lead and mentor a team building advance multi‑agent capabilities for EY businesses and customers.

Your key responsibilities

  • Oversee the design and implementation of AI agentic systems and frameworks based on foundation models, LLM, and SLM.

  • Integrate external vendor tools for model monitoring, security, and compliance.

  • Collaborate with EY teams to align AI initiatives.

  • Serve as a player‑coach, contributing to technical delivery while coordinating firmwide AI adoption.

  • Be a true expert in knowledge AI systems and their applications to customer opportunities and internal horizontal platform development.

  • Member of the Enterprise Architecture council guiding initiatives to success.

  • Maintain current knowledge of knowledge AI trends and model architectures for the timely adoption of emerging AI technology.

Skills and attributes for success

  • Strong leadership and cross‑functional communication skills.

  • Ability to translate governance requirements into scalable technical solutions.

  • Strategic mindset with attention to detail and a predisposition for innovation.

  • Comfort working across business, technical, and product domains.

  • Embrace emerging technologies and digital tools to enhance collaboration, streamline workflows, and improve service delivery.

  • Promote a culture of continuous learning and adaptability in a hybrid work environment.

  • Lead with Insight and Analytical Rigor

  • Apply complex problem‑solving and critical thinking to evaluate data, identify trends, and make informed decisions.

  • Translate insights into actionable strategies that drive measurable outcomes.

  • Be the go to authority for AI expertise in knowledge based AI systems.

To qualify you must have

  • 10+ years of experience in enterprise architecture, governance, or compliance technology.

  • Bachelor’s Degree in related field.

  • Knowledge of AI Foundation Model frameworks, Llama, Gemini, Claude, OpenAI, Mistral, Deepseek etc...

  • Experience with observability, safety and governance tooling.

  • Familiar with Agentic AI platforms (Nvidia, MSFT, Crew etc…)

  • Familiarity with Agentic Patterns & Frameworks: Orchestration, Loop Engineering, Memory system integration

  • Familiarity with AI native development

  • Proven track record in building and delivering large‑scale enterprise platforms.

Ideally, you'll also have

  • Masters or PhD degree in Computer Science, Electrical Engineering, or Mathematics

  • Familiarity with AI/ML lifecycle management and responsible AI practices.

  • Experience integrating governance tools into hybrid cloud environments.

  • Ability to influence senior stakeholders and drive alignment across teams.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  • Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

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