Principal GenAI Engineer
Minneapolis, MN · On-site
Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. • Strong understanding and ... , ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. • Excellent ...
Principal GenAI Engineer
Minneapolis, MN · On-site
Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. • Strong understanding and ... , ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. • Excellent ...
Senior AI Scientist
Minneapolis, MN · On-site +1
$95.50K - $130.50K/yr
Strong skills in SQL and at least 1 programming language (e.g., Python, Julia) Preferred qualifications * Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering ...
Senior AI Scientist
Minneapolis, MN · On-site +1
$95.50K - $130.50K/yr
Strong skills in SQL and at least 1 programming language (e.g., Python, Julia) Preferred qualifications * Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering ...
Senior AI Scientist
Richfield, MN · On-site
$104.14K - $186.56K/yr
Strong skills in SQL and at least 1 programming language (e.g., Python, Julia) Preferred qualifications * Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering ...
Senior AI Scientist
Richfield, MN · On-site
$104.14K - $186.56K/yr
Strong skills in SQL and at least 1 programming language (e.g., Python, Julia) Preferred qualifications * Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering ...
Julia Programming information
See Minnesota salary details
$43.6K - $48.4K
15% of jobs
$51K is the 25th percentile. Wages below this are outliers.
$48.4K - $53.3K
19% of jobs
$53.3K - $58.1K
14% of jobs
The median wage is $63K / yr.
$58.1K - $63K
2% of jobs
$63K - $67.8K
1% of jobs
$67.8K - $72.7K
1% of jobs
$72.7K - $77.6K
13% of jobs
$77.6K - $82.4K
6% of jobs
$84.5K is the 75th percentile. Wages above this are outliers.
$82.4K - $87.3K
9% of jobs
$87.3K - $92.1K
10% of jobs
$92.1K - $97K
11% of jobs
$43.6K
$69.4K
$97K
How much do julia programming jobs pay per year?
As of Jun 1, 2026, the average yearly pay for julia programming in Minnesota is $69,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $86,700.00 per year, depending on experience, location, and employer.
What is a Julia Programming job?
A Julia Programming job involves using the Julia language to develop high-performance applications, data analysis pipelines, or scientific computing solutions. Professionals in this role often work in fields such as finance, machine learning, or computational science, leveraging Julia’s speed and efficiency for complex computations. Responsibilities may include writing efficient code, optimizing algorithms, and integrating Julia with other technologies. Employers typically seek candidates with strong programming skills, experience in numerical computing, and familiarity with parallel processing.
What are the key skills and qualifications needed to thrive in the Julia Programming position, and why are they important?
To excel in Julia Programming, candidates need strong programming abilities in Julia, a background in mathematics or computer science, and experience with scientific computing or data analysis. Proficiency with Julia's ecosystem—such as packages like DataFrames.jl, Plots.jl, and integrating with Python or C libraries—is often required, and certifications in data science or related fields may be beneficial. Excellent problem-solving skills, attention to detail, and the ability to collaborate within multidisciplinary teams distinguish top professionals in this field. These competencies are crucial for building efficient, scalable solutions and contributing effectively to projects across research, engineering, or analytics domains.
What kinds of projects or tasks do professionals in Julia Programming typically work on?
Professionals in Julia Programming often work on high-performance computing projects, data analysis, machine learning pipelines, and numerical modeling tasks, particularly in scientific research, finance, or engineering contexts. Their daily responsibilities may include writing and optimizing Julia code, collaborating with domain experts, and integrating Julia with other languages or technologies. Teams are often interdisciplinary and value strong communication skills, as many projects involve joint problem-solving with researchers, engineers, or data scientists. This role offers significant growth opportunities because Julia expertise is in increasing demand for projects where execution speed and scalability are critical.
More about Julia Programming jobs
What are the most commonly searched types of Julia Programming jobs in Minnesota? The most popular types of Julia Programming jobs in Minnesota are:
What are popular job titles related to Julia Programming jobs in Minnesota? For Julia Programming jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Julia Programming jobs in Minnesota look for? The top searched job categories for Julia Programming jobs in Minnesota are:
Full-time
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Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Principal GenAI Engineer to engage in high-visibility projects. This role involves delivering customer-focused solutions, providing technical leadership, and collaborating with cross-functional teams to develop advanced software solutions.
Responsibilities:
• Embrace and drive a culture of accountability for customer and business outcomes.
• Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
• Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations.
• Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate.
• Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded.
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs.
• Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Adopt a mindset that favors action and evidence over extensive planning.
• Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
• Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery.
• Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value.
• Foster a collaborative environment that enhances team synergy and innovation.
• Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle.
• Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery.
• Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.
• Quickly acquire domain-specific knowledge relevant to the business or product.
• Translate business/user needs, architectures, and UX/UI designs into technical specifications and code.
• Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
• Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly.
• Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence.
• Create coherent narratives that align technical solutions with business objectives.
• Engage and collaborate with product engineering teams at all organizational levels, including customers as needed.
• Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals.
• Align diverse perspectives and drive consensus to create feasible solutions.
Qualifications:
Required:
• A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.
• Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc.
• 8+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.
• Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.
• Strong understanding and experience in managing big data of various forms to generate insights and create intelligence.
• Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL.
• Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.
• Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.
• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available
Preferred:
• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.
Deloitte is a leading professional services firm, and they are seeking a Principal GenAI Engineer to engage in high-visibility projects. This role involves delivering customer-focused solutions, providing technical leadership, and collaborating with cross-functional teams to develop advanced software solutions.
Responsibilities:
• Embrace and drive a culture of accountability for customer and business outcomes.
• Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
• Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations.
• Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate.
• Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded.
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs.
• Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Adopt a mindset that favors action and evidence over extensive planning.
• Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
• Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery.
• Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value.
• Foster a collaborative environment that enhances team synergy and innovation.
• Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle.
• Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery.
• Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.
• Quickly acquire domain-specific knowledge relevant to the business or product.
• Translate business/user needs, architectures, and UX/UI designs into technical specifications and code.
• Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
• Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly.
• Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence.
• Create coherent narratives that align technical solutions with business objectives.
• Engage and collaborate with product engineering teams at all organizational levels, including customers as needed.
• Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals.
• Align diverse perspectives and drive consensus to create feasible solutions.
Qualifications:
Required:
• A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.
• Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc.
• 8+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.
• Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.
• Strong understanding and experience in managing big data of various forms to generate insights and create intelligence.
• Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL.
• Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.
• Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.
• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available
Preferred:
• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.