
Principal Technology Architect - GenAI
- Atlanta, GA
- Permanent
- Full-time
Technical Domain Architecture: Drives GenAI IT strategy, current, transitional and target state architectures and roadmaps for a technical domain across lines of business that align to enterprise, technical and other functional domain standards. This includes Cloud and hosting, security, data, integration, frameworks, devops, automation, productivity services and tools, application lifecycle services. Senior domain architect responsible for the architecture, design, and roadmap of large or mid-sized business applications or sub-functional technology domain areas. Collaborates and leads with other architects in the creation, adoption, and spread of company technology standards and principles for engineering teams.
People Management First line manager or individual contributorGeographic Scope Multiple CountriesWhat we’re looking for:Scope and Impact:
- Manager oversees end-to-end architecture for several large or mid-sized business applications for multiple geographies and/or mid-sized programs, or oversee components of one of the following technical domain architecture areas.
- Key contributor to GenAI architecture and strategy governance, standards, processes, and practices.
- Identifies and resolves the most complex problems/issues/ assignments and identify barriers hindering operations.
- Leverages expert problem- solving skills and techniques.
- Responsible for creatively resolving unclear situations utilizing the highest level of expertise in specialized field.
- Applies expert analysis techniques in area of specialization to make decisions.
- Decision-making authority may extend beyond both area of specialization and unit/team.
- Sets priorities and/or sequence of task to achieve objectives with little to no oversight.
- Provides expertise in planning, developing, and executing architecture initiatives.
- Acts as subject-matter expert in department leadership role and GenAI topics (often liaisons w/ executive leadership to drive business outcomes).
- Provides guidance and support to junior-level peers.
- Has comprehensive knowledge and understanding of 5+ architecture, existing, new and emerging technologies and processing environments. Knowledge and experience building, implementing and/or integrating machine learning and artificial intelligence models.
- Advanced knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT. Predictive analytics and AI/ML and Generative AI.
- Resource for information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, EA and ITIL frameworks and Ethical standards and controls for Generative AI.
- Bachelor's degree in computer science, computer engineering, system analysis, related field of study, or equivalent experience; with required years of experience.
- 15+ years in at least two disciplines: functional, information, solution or technical architecture, application development, infrastructure, information security or operations in a hybrid environment (i.e. Cloud, on-prem).
- 10+ years in positions of leadership.