Job Description
Engineer, Senior AI (IT Python and AI programming (Expert) III
Summary
CIO Architecture, Strategy & Innovation (CASI) is responsible to assist Vice President of Information Technology (IT) design, develop, maintain, support, and translate corporate business vision and strategy along with stakeholder input into objectives for building, enhancing, or replacing business and IT systems capabilities, together with an implementation of a comprehensive IT roadmap, all-the-while maintaining resilience to change as a key architectural and strategy objective for the enterprise.
To support the Customer mission, projects, and system requirements, the Customer requires sophisticated information technology systems support services by experienced professionals. The CASI team demonstrates leadership by evaluating and driving implementation of innovative solutions for technology infrastructure and application architecture.
Description
Designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn.
Duties and 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.
- Practical Application of Core Python Concepts:
- 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.
- 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.
A minimum of eight (8) to twelve (12) years' relevant experience.
o 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.
o Note: Special credentials (licenses and/or certifications) may be required at the Task Order level on a case-specific basis.
Additional Provisions
- Pass both a client mandated clearance process to include drug screening, criminal history check and credit check.
- Once a candidate's resume is approved and interview passed, the agency is responsible for providing drug screening. Failure to submit the drug screening results will delay the security clearance process.
- If a candidate is given an interim clearance, continuation of employment is then based on the candidate receiving a sensitive clearance.
- 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.)
Numbers & Facts
| Location | Raleigh, NC |
| Industry | Government and Military |
| Company Size | 500 to 999 employees |
| Website | https://www.planitgroup.com/ |
About Company
PLANIT Group is a fast-growing global technology consulting firm dedicated to delivering innovative solutions to our clients that drive results. We collaborate with our partners and customers to help them improve performance, efficiency, and quality. Our team delivers innovative solutions and services - including management consulting, systems integration, ERP solutions, enterprise architecture, communications, and infrastructure services. We focus on delivering value and driving increased productivity and efficiencies for our clients’ mission. Our extensive experience in the Federal, Defense, Intelligence, State, Local, Healthcare and Commercial industries delivers proven results and accelerated benefits.
Clients engage PLANIT for our expertise, innovative approach, and our exceptional team. We promote a creative, client-centric work environment and culture, striving to provide challenging and rewarding opportunities for our company’s employees and partners. Integrity and innovation are the core principles of our company philosophy. Our customers engage us to create solutions to complex mission challenges, and PLANIT delivers. For more information, visit http://www.planitgroup.com/. Innovation. Integration. Integrity.
Skills
- Algorithmsunmatched
- Apache Sparkunmatched
- Application Programming Interface (API)unmatched
- Architectural Servicesunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Programming Languagesunmatched
- Automationunmatched
- Best Practicesunmatched
- Big Dataunmatched
- Business Strategyunmatched
- Cloud Computingunmatched
- Code Reviewsunmatched
- Consultingunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Cross-Functionalunmatched
- Customer Support/Serviceunmatched
- Data Analysisunmatched
- Data Cleaningunmatched
- Data Managementunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Data Storageunmatched
- Design Documentunmatched
- Design Patterns Programming Methodologiesunmatched
- Documentation Modelsunmatched
- Ecosystemsunmatched
- Executive Assistant Skills unmatched
- Gitunmatched
- Information Technology & Information Systemsunmatched
- Javaunmatched
- Leadershipunmatched
- MCP - Microsoft Certified Professionalunmatched
- Machine Learningunmatched
- Machine Toolunmatched
- Microsoft Excelunmatched
- Microsoft PowerPointunmatched
- Microsoft Product Familyunmatched
- Microsoft Visiounmatched
- Microsoft Wordunmatched
- Militaryunmatched
- NoSQLunmatched
- Power BIunmatched
- Predictive Modelingunmatched
- Presentation/Verbal Skillsunmatched
- Production Systemsunmatched
- Proof of Conceptunmatched
- Prototypingunmatched
- Python Programming/Scripting Languageunmatched
- R Programming Languageunmatched
- SQL Databasesunmatched
- Scalable System Developmentunmatched
- Scripting (Scripting Languages)unmatched
- Secure Codingunmatched
- Software Administrationunmatched
- Software Engineeringunmatched
- Source Code/Configuration Management (SCM)unmatched
- Strategic Planningunmatched
- Technical Drawingunmatched
- Technical Presentationunmatched
- Technical Supportunmatched
- Technical Writingunmatched
- Technical/Engineering Designunmatched
- Test Plan/Scheduleunmatched
- Testingunmatched
- Training Data Setsunmatched
- Training/Teachingunmatched
- Transformation Toolsunmatched
- United States Citizenunmatched
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