Software Architect (AI Systems)
Software Architect (AI Systems)
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Job Description
We are looking for a Senior Software Architect (P5) to lead the design and evolution of scalable secure and intelligent AI systems across our enterprise platform. This role requires deep technical expertise in AI/ML system architecture cloud-native development and distributed system design along with the ability to influence cross-functional teams and guide long-term technical direction.
Youll work across engineering product data science and platform teams to architect AI-powered systemsincluding agentic AI workflows large language model (LLM) integration and data orchestration patterns that support operational and user-facing experiences. You will play a critical role in ensuring our AI systems are performant governable maintainable and extensible as they scale across the organization.
Key Responsibilities:
Architect Core AI Infrastructure: Lead the design of modular extensible AI architectures that support training inference data pipelines and integration with business services.
Agentic AI and Workflow Design: Architect intelligent agent-based systems using frameworks like MCP LangChain Semantic Kernel or custom implementations on orchestration tools like n8n.
Model Integration: Define architecture for integrating LLMs fine-tuned models and retrieval-augmented generation (RAG) pipelines into enterprise systems.
System Design Leadership: Deliver high-level architecture and detailed designs for AI solutions that integrate with distributed systems ensuring scalability resilience and observability.
Data-Centric Architecture: Establish robust data architectures for ML pipelines including feature stores semantic layers vector databases and lineage tracking.
Security & Governance: Partner with security and compliance teams to ensure responsible AI use model safety auditability and adherence to privacy and ethical guidelines.
Technical Strategy: Contribute to long-term architectural vision and standards that accelerate AI adoption across the platform while minimizing duplication and technical debt.
Mentorship & Influence: Serve as a technical leader and mentor for engineers working on AI-related projects providing architectural guidance and design reviews.
Minimum Qualifications:
10 years of experience in software architecture and engineering including significant hands-on development with at least 3 years in AI/ML systems or platforms
Proven experience designing large-scale distributed systems and service-oriented architectures
Hands-on experience with AI/ML infrastructure (e.g. Azure ML Databricks Vertex AI SageMaker)
Familiarity with LLMs vector databases (e.g. Pinecone Weaviate) and RAG patterns
Proficient in Python and/or TypeScript with strong design and modeling skills
Experience with infrastructure-as-code and cloud-native platforms (Kubernetes Terraform GitHub Actions)
Strong communication skills and ability to articulate architectural trade-offs
Bachelors or Masters degree in Computer Science Engineering or related field.
Preferred Qualifications:
Experience with agentic AI systems orchestration frameworks like n8n or bot platforms and frameworks
Knowledge of Model Context Protocol (MCP) or similar metadata-driven AI integration models
Background in security-aware architecture and AI governance frameworks
Experience working in a matrixed or multi-product organization
Track record of driving adoption of architectural patterns or platforms across teams
What Youll Get:
The opportunity to architect the next generation of AI-powered capabilities across an enterprise platform
Deep technical challenges in applied AI integration and orchestration
A collaborative environment with high autonomy and visibility
Competitive compensation and advancement opportunities in a high-impact role
Employment Type
Full-Time
