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Senior Python Ai Jobs in Wilson, NC (NOW HIRING)

Experience working in code (Python, SQL, or similar) at a scripting level and ability to build and ... Executive presence and confidence working with senior leadership teams * Adaptability and comfort ...

New

Asset Management Senior Engineer

Zebulon, NC · On-site

$88K - $121K/yr

If so, this Asset Management Senior Engineer role could be an ideal opportunity to explore. The ... Use CMSS data and digital tools (AI, Python, etc.) to deliver insights driving actions. * Animate ...

Senior Python Ai information

See Wilson, NC salary details

$48.1K

$124.1K

$170.4K

How much do senior python ai jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior python ai in Wilson, NC is $124,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $142,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the key skills and qualifications needed to thrive as a Senior Python AI Engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What does a Senior Python AI Engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.
What job categories do people searching Senior Python Ai jobs in Wilson, NC look for? The top searched job categories for Senior Python Ai jobs in Wilson, NC are:

Full-time

Posted 2 days ago

New


Lewis Tree Service rating

7.2

Company rating: 7.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

8th of 35 rated gardening and landscaping


Job description

Lewis & Clark Capital is a family office investing in and partnering with lower middle market businesses across a range of industries. We are seeking a highly motivated Value Creation professional to work directly with portfolio company leadership teams to drive operational improvements, process automation, and the practical adoption of software, data, and AI-enabled workflows.

This role sits at the intersection of strategy, operations, and technology, with a mandate to identify and execute initiatives that create measurable value across our portfolio.

Key Responsibilities

  • Partner with Lewis & Clark team members and portfolio company executives to identify and prioritize value creation opportunities across operations, data, and technology
  • Translate business problems into practical, implementable solutions using modern tools and technologies
  • Lead and support initiatives spanning workflow optimization, process automation, and data infrastructure, reporting, and analytics
  • Evaluate emerging software and AI-enabled tools and platforms, distinguishing high-impact applications from low-value noise
  • Develop and implement practical solutions, building lightweight and scalable tools that drive adoption within portfolio companies
  • Serve as a thought partner to management teams on operational strategy and technology adoption
  • Manage multiple projects across companies, balancing strategy development with hands-on execution
  • Track and communicate the impact of initiatives to internal stakeholders
  • Document and share learnings across portfolio companies to build repeatable playbooks

Qualifications

  • 3–7 years of experience in management consulting, technology implementation, or private equity value creation and portfolio company operations
  • Hands-on experience with modern data tools, automation platforms, and AI/LLM workflows with a track record of building and deploying solutions, not just evaluating them
  • Experience working in code (Python, SQL, or similar) at a scripting level and ability to build and configure solutions independently, including API integrations, automation workflows, and no-code / low-code platforms. This is not a software engineering role and deep coding expertise is not required.
  • Experience in private equity-backed or multi-company environments strongly preferred

Core Competencies

  • Strong business acumen with the ability to quickly understand complex business models, products, and operational challenges
  • Strong listening skills and the ability to diagnose problems and synthesize inputs quickly
  • Execution-oriented mindset with comfort moving from idea to implementation 
  • Systems thinking and the ability to understand how processes, data flows, and tools connect across a business
  • Deep curiosity about technology and AI, with practical judgment to distinguish high-impact opportunities from hype
  • Technical self-sufficiency, with the ability to scope, build, and troubleshoot solutions independently across a range of tools and platforms
  • Proven project management skills with the ability to manage multiple initiatives across different companies simultaneously
  • Executive presence and confidence working with senior leadership teams 
  • Adaptability and comfort working in ambiguous, fast-moving environments 

What Success Looks Like

  • Identifying and executing on high-impact, practical opportunities across portfolio companies 
  • Driving measurable improvements in efficiency, cost, and growth
  • Building and deploying solutions that are adopted and sustained over time
  • Helping portfolio companies adopt modern tools without over-engineering solutions
  • Developing a repeatable playbook for how L&CC approaches AI and technology implementation across the portfolio
  • Becoming a trusted partner to management teams and internal stakeholders 

Why This Role

This is a unique opportunity early in your career, working across multiple businesses, building real solutions, and shaping how AI and automation are applied in practical, value-accretive ways.


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