
Program Architect
2 weeks 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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