PlanIT Group, LLC · 2 months ago
Engineer, Senior AI (IT Python and AI programming (Expert) III
Raleigh, NC
Contract
Onsite
Senior Level, Lead/Staff
8+ years expPlanIT Group, LLC is focused on providing sophisticated information technology systems support services. The Senior AI Engineer will design and develop scalable AI solutions, conduct research and testing for machine learning algorithms, and implement comprehensive IT strategies to support customer missions.
ConsultingInformation TechnologyManagement Consulting
No H1B
U.S. Citizen Only
Responsibilities
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
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
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
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
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
Pass both a client mandated clearance process to include drug screening, criminal history check and credit check
All candidates must be a US Citizen or have permanent residence status (Green Card)
Candidate must have lived in the US for the past 5 years
Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
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