Program Architect
2 days ago
**Job Summary**:
We are seeking an experienced Program Architect to serve as the Overall Lead for AAI (Artificial Intelligence Augmentation) Architecture with a focus on the Knowledge Layer. In this role, you will define and deliver scalable, high-performance architecture solutions for our AI-driven platforms and products. You will collaborate with cross-functional teams, drive key technical decisions, and mentor team members while ensuring alignment with business objectives.
**Key Responsibilities**:
- **Architecture Leadership**- Design and implement end-to-end AAI architecture for the Knowledge Layer, ensuring scalability, performance, and alignment with business goals.
- **Solution Design**- Define and deliver technology architecture for platforms, products, and engagements, addressing performance, capability, and scalability needs.
- **Stakeholder Engagement**- Facilitate workshops, discussions, and reviews to gather requirements and ensure alignment with business and technical stakeholders.
- **Cross-Team Collaboration**- Engage with multiple teams (Engineering, Data Science, Product) to drive unified architectural decisions and resolve complex, multi-team challenges.
- **Innovation & Optimization**- Continuously evaluate and improve existing architecture frameworks to enhance efficiency and performance.
- **Mentorship & Guidance**- Lead, mentor, and upskill team members in best practices for technology architecture.
- **Industry Trends**- Stay updated with emerging AI/ML technologies, frameworks, and trends to drive innovation in AAI and knowledge representation.
**Required Skills & Qualifications**
**Advanced Proficiency in**:
- Architecture Frameworks (TOGAF, Zachman, etc.)
- Operational Architecture (scalability, reliability, observability)
- Applications & Technology Architecture (microservices, cloud-native design, APIs)
- AI/ML & Knowledge Representation (ontologies, knowledge graphs, NLP)
- Proven Experience in designing large-scale, distributed systems (preferably AI/ML-driven platforms).
- Strong leadership skills with the ability to drive consensus among technical and non-technical stakeholders.
- Excellent problem-solving skills with a track record of solving cross-team architectural challenges.
- Experience in mentoring teams and setting architectural best practices.
**Preferred Qualifications**
- Experience with enterprise knowledge management systems (e.g., semantic layers, graph databases).
- Familiarity with AI/ML model deployment (MLOps, LLM orchestration).
- Background in data architecture (data lakes, warehouses, ETL pipelines).
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