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.
You’ll work across engineering, product, data science, and platform teams to architect AI-powered systems—including 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
Bachelor's or Master’s 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 You’ll 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