[Hiring] Senior AI Engineer @soteria

Role Description

Client 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 client’s mission, projects, and system requirements, the client 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.

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 scikit-learn.

Qualifications

• Practical Application of Core Python Concepts
• Data Engineering and Analysis Skills
• Implementing and Deploying Cloud Applications
• Understanding of Software Engineering Best Practices
• Knowledge of Data Science Best Practices
• Familiarity with Cloud-based Data Science Services
• Ethical Practices and Security Knowledge
• Exceptional qualifications and/or particular expertise in the field

Requirements

• 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
• 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

• 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

Education

• Over Twenty (20) years of relevant experience
• A degree from an accredited College/University in the applicable field of services is preferred
• Four additional years of relevant experience in lieu of a college degree is required
• If the individual's degree is not in the applicable field then four additional years of related experience is required