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Mistral Jobs in Washington (NOW HIRING)

You will specialize in IBM's Data Platform, working with products such as OpenPages, watsonx.governance, Mistral, watsonx.ai, and watsonx.data. Your primary responsibilities will include: • Deliver ...

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Preferred : • Experience applying data science to DoD or federal agency mission problems. • Familiarity with Oracle RDBMS 19c. • Experience with LLM models such as OpenAI, Gemini, Mistral, and ...

Preferred : • Experience applying data science to DoD or federal agency mission problems. • Familiarity with Oracle RDBMS 19c • Experience with LLM models such as OpenAI, Gemini, Mistral, and ...

Work with models from Anthropic, OpenAI, and open-source (Llama, Qwen, Mistral). * Optimize prompts, manage context windows, implement RAG pipelines, and fine-tune models for domain-specific tasks.

Familiarity with open source LLM models, such Llama, Mistral * Experience in fine-tuning LLM models * Knowledge of AI design patterns * Bachelor's degree in Computer Science, Information Systems, or ...

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Showing results 1-20

Mistral information

See Washington salary details

$17K

$273.3K

$438.3K

How much do mistral jobs pay per year?

As of Sep 14, 2026, the average yearly pay for mistral in Washington is $273,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $226,500.00 and $339,800.00 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 Washington?

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

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

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

What cities in Washington are hiring for Mistral jobs?

Cities in Washington with the most Mistral job openings:

Infographic showing various Mistral job openings in Washington as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $273,290 per year, or $131.4 per hour.

Senior Cyber AI Operations Engineer - Onsite

Washington, DC • On-site

VIVA USA INC
IT Services • 51 - 200 employees

Other

Posted 11 days ago


Job description

Title:         Senior Cyber AI Operations Engineer - Onsite

Mandatory skills:

AI, data science, software engineering, data structures,
AI, cybersecurity, information security, technical systems,
AI infrastructure components, automation tools, scripting languages, Python, Bash,
AI frameworks, AWS Bedrock, Sagemaker, Transformer, TensorFlow, PyTorch, Langchain, Llamaindex,
LLM models, Llama, Mistral, AI design patterns,
DevSecOps, CI/CD practices, AWS cloud architecture design,
Terraform, Dockers Kubernetes, Gitlab, NIST, FISMA, FedRAMP,
design requirements, cybersecurity operations, vulnerability analysis, security tests


Description:

Senior Cyber Artificial Intelligence Operations Engineer

Position Overview
We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities.

Key Responsibilities
Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities.
Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities.
Instrument AI systems for cybersecurity activities with observability and controllability.
Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness.
Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs
Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports.

Required Qualifications
5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices
2+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems
Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash
Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex
Familiarity with open source LLM models, such Llama, Mistral
Experience in fine-tuning LLM models
Knowledge of AI design patterns
Bachelor’s degree in Computer Science, Information Systems, or other related field is required or related work experience

Preferred Qualifications
Hands-on experience with DevSecOps and CI/CD practices
Experience in AWS cloud architecture design and operation
Experience in Terraform, Dockers Kubernetes, and/or Gitlab
Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives
Experience operating in government environments that follow NIST, FISMA, FedRAMP, and client guidance.
Strong problem-solving and analytical skills
Excellent communication and documentation skills

Notes:
Onsite
Schedule: Monday-Friday during standard business hours

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.


Contact Details :

Account co-ordinator: Binodh Thankappan


VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008
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