Principal Solution Architect (AI)

Role Overview

We are seeking a visionary Principal Solution Architect (AI) to lead the design and implementation of enterprise-scale AI and machine learning solutions. This role will drive AI strategy, architecture, and adoption across the organization, enabling intelligent automation, advanced analytics, and next-generation client experiences.

You will partner with business leaders, data scientists, and engineering teams to deliver scalable, secure, and production-ready AI systems in a highly regulated financial services environment.

Key Responsibilities

• Define and lead the enterprise AI/ML architecture strategy and roadmap
• Design scalable solutions using machine learning, deep learning, and generative AI
• Translate business problems into AI-driven technical solutions
• Architect end-to-end AI pipelines (data ingestion → modeling → deployment → monitoring)
• Lead implementation of LLM-based applications (chatbots, copilots, document intelligence)
• Ensure model governance, explainability, and compliance in regulated environments
• Collaborate with data engineering teams to build robust data pipelines and feature stores
• Drive adoption of MLOps best practices (CI/CD for ML, model versioning, monitoring)
• Evaluate and integrate AI/ML platforms, frameworks, and tools
• Provide technical leadership and mentorship to cross-functional teams
• Partner with security teams to ensure responsible AI and data privacy standards
• Stay current with emerging trends in AI and recommend innovation opportunities

Required Qualifications

• 12+ years of experience in software engineering, data engineering, or architecture
• 5+ years of experience designing and deploying AI/ML solutions at scale
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with Generative AI / LLMs (OpenAI, Hugging Face, LangChain, etc.)
• Proficiency in Python and experience with data processing tools (Pandas, Spark)
• Experience designing distributed systems and cloud-native architectures
• Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
• Strong understanding of MLOps practices and tools (MLflow, Kubeflow, SageMaker, etc.)
• Experience with data architectures (data lakes, warehouses, streaming pipelines)
• Knowledge of API design and microservices architecture
• Excellent communication skills with the ability to engage both technical and business stakeholders

Preferred Qualifications

• Experience in financial services / fintech domain
• Knowledge of model risk management and regulatory compliance (SR 11-7, etc.)
• Experience with vector databases (Pinecone, FAISS, Weaviate)
• Familiarity with RAG (Retrieval-Augmented Generation) architectures
• Experience with real-time data processing (Kafka, Flink)
• Exposure to AI governance, bias detection, and explainability tools
• Advanced degree in Computer Science, AI, Data Science, or related field

Key Skills

• AI/ML Architecture & Strategy
• Generative AI & LLMs
• MLOps & Model Lifecycle Management
• Cloud & Distributed Systems
• Data Engineering & Pipelines
• Leadership & Cross-Functional Collaboration

Why Join?

• Lead enterprise-wide AI transformation initiatives
• Work on cutting-edge Generative AI and intelligent systems
• High-impact role with strong visibility to leadership
• Competitive compensation and long-term growth opportunities

Additional Requirements

• Based in or willing to relocate to Austin, TX
• Strong stakeholder management and strategic thinking abilities