PlanIT Group, LLC · 2 months ago
Engineer, Senior AI (IT Python and AI programming (Expert) III
Raleigh, NC
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expPlanIT Group, LLC is seeking a Senior AI Engineer to assist in designing, developing, and maintaining sophisticated information technology systems. The role involves creating scalable AI solutions, developing machine learning models, and integrating these systems to support corporate business strategies.
ConsultingInformation TechnologyManagement Consulting
Responsibilities
Chosen resource must demonstrate these capabilities through actual work experience not merely training:
Practical Application of Core Python Concepts:
Not just knowing Python syntax but demonstrating a track record of building and deploying Python applications or scripts that address IT operational needs, automate processes, or handle data management
Data Engineering and Analysis Skills:
Demonstrable experience with data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets
Implementing and Deploying Cloud Applications:
Experience deploying python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes)
Understanding of Software Engineering Best Practices:
Experience in applying principles like version control (Git), writing clear and testable code, participating in code reviews, and using continuous integration/continuous deployment (CI/CD) pipelines
Knowledge of Data Science Best Practices:
Demonstrated understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of Machine Learning Models
Familiarity with Cloud-based Data Science Services:
Proficiency using managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications
Ethical Practices and Security Knowledge:
A demonstrated awareness and application of ethical guidelines for data science solutioning, including addressing bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions
Typically performs all functional duties independently
Chosen resource should exhibit through actual work experience not merely training:
Desirable: hands on experience building MCP servers and integration with Agentic AI workflows
Communicating complex technical concepts to both technical and executive stakeholders
Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io
Proficiency creating technical design and architecture documents in Microsoft Word
Proficiency creating business and technical presentations in Microsoft PowerPoint
Proficiency creating data representations, charts and reports in tools such as Microsoft's Excel worksheets and Power BI
Ability to communicate, orally and in writing, sufficient to develop and present management briefings; provide written and/or verbal guidance on technical issues; and prepare/present recommendations and reports
Using design patterns for building scalable and maintainable applications/solutions
Clearly document code, models, and technical solutions
Proficiency in Generative AI and prompt engineering
Continuous learning and adaptability in a very large IT organization
Troubleshooting software and technical implementations in large-scale enterprise ecosystems
API development and integration
Querying and managing data in both SQL and NoSQL databases
Tasks – might include (neither exhaustive nor restrictive):
Data science tasks such as data acquisition, data cleaning, and feature extraction
Develop and demonstrate proof-of-concepts (PoC); independently or in a team
Create technical diagrams and documentation to show PoC implementations and potential production implementation
Researching and presenting to teammates on the latest tools/packages/capabilities being developed
Make recommendations on relevant tools/packages to use for production environments
Work with relevant governance committees to document and obtain approval for exploratory data science efforts
Consulting with members of architecture teams to identify potential automation solutions which may include AI/ML
Collaborating with cross functional teams on holistic AI/ML solutions
Qualification
Required
A minimum of eight (8) to twelve (12) years' relevant experience
A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four (4) additional years of related experience is required
Practical Application of Core Python Concepts: Not just knowing Python syntax but demonstrating a track record of building and deploying Python applications or scripts that address IT operational needs, automate processes, or handle data management
Data Engineering and Analysis Skills: Demonstrable experience with data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets
Implementing and Deploying Cloud Applications: Experience deploying python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes)
Understanding of Software Engineering Best Practices: Experience in applying principles like version control (Git), writing clear and testable code, participating in code reviews, and using continuous integration/continuous deployment (CI/CD) pipelines
Knowledge of Data Science Best Practices: Demonstrated understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of Machine Learning Models
Familiarity with Cloud-based Data Science Services: Proficiency using managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications
Ethical Practices and Security Knowledge: A demonstrated awareness and application of ethical guidelines for data science solutioning, including addressing bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions
Typically performs all functional duties independently
Preferred
Desirable: hands on experience building MCP servers and integration with Agentic AI workflows
Communicating complex technical concepts to both technical and executive stakeholders
Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io
Proficiency creating technical design and architecture documents in Microsoft Word
Proficiency creating business and technical presentations in Microsoft PowerPoint
Proficiency creating data representations, charts and reports in tools such as Microsoft's Excel worksheets and Power BI
Ability to communicate, orally and in writing, sufficient to develop and present management briefings; provide written and/or verbal guidance on technical issues; and prepare/present recommendations and reports
Using design patterns for building scalable and maintainable applications/solutions
Clearly document code, models, and technical solutions
Proficiency in Generative AI and prompt engineering
Continuous learning and adaptability in a very large IT organization
Troubleshooting software and technical implementations in large-scale enterprise ecosystems
API development and integration
Querying and managing data in both SQL and NoSQL databases
Company
PlanIT Group, LLC
PlanIT Group is an IT and engineering professional services company which provides top-tier talent to various commercial and government customers.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$3.55M2020-09-24Series Unknown· $3.55M
Company data provided by crunchbase