Lead AI Solutions Architect – Full Stack

Role Overview

• Partner with Product Leads and Product Managers to understand workflows, user needs, and business problems across multiple product areas.
• Apply design thinking and Lean UX principles to identify AI-first opportunities that create customer and business value.
• Design, prototype, and validate Generative AI and Agentic AI solutions through rapid proof-of-concept development.
• Build demo-ready prototypes using Python for AI workflows and Angular or React for user-facing experiences.
• Design reference architecture and technical guidance to enable effective handoff to Product Engineering teams.
• Provide technical direction and mentorship to junior or offshore team members as needed.
• Collaborate closely with UX Design, UX Research, Engineering, and other cross-functional stakeholders.
• Present, demo, and communicate AI concepts and solutions to senior leaders and customers.

Requirements

• Master's degree in computer science, Data Science, Engineering, or bachelor's degree with equivalent experience.
• 10+ years of experience in Solutions Architecture, Full Stack Engineering, GenAI/Agentic AI, Data Science, AI/ML, or Applied AI Engineering
• Proven experience leading complex AI initiatives and mentoring others.
• Strong proficiency in Python, with hands-on experience building AI services and orchestration layers using FastAPI or similar modern Python frameworks.
• Hands-on experience designing and implementing Generative AI and Agentic AI solutions, including multi-step reasoning workflows, tool-based agents, and agent-to-agent communication patterns.
• Deep experience with Retrieval-Augmented Generation (RAG) architectures, including semantic search, embeddings, vector databases, and chunking/indexing strategies for enterprise content.
• Proficiency with Python-based GenAI frameworks such as LangChain, LlamaIndex, or equivalent orchestration frameworks.
• Experience working with large-scale structured and unstructured data, including data preparation, transformation, and evaluation.
• Strong understanding of AI safety, governance, guardrails, and hallucination mitigation techniques.
• Experience designing API-driven, cloud-agnostic architectures for AI systems, including familiarity with MCP and integration patterns.
• Working knowledge of modern front-end frameworks (Angular or React) to support demo-ready user experiences.
• Familiarity with SQL and NoSQL data stores.
• Awareness of containerization and cloud platforms (Azure and/or AWS) at a design and architecture level to support downstream handoff.

Tech Stack

• Angular
• AWS
• Azure
• Cloud
• NoSQL
• Python
• React
• SQL

Benefits

• Medical, Dental, & Vision Plans
• 401(k)
• FSA/HSA
• Commuter Benefits
• Tuition Assistance Plan
• Vacation and Sick Time
• Paid Parental Leave