Lead AI Solutions Architect - Full Stack

Wolters Kluwer • Princeton, NJ

9d

About The Position

Lead AI Solutions Architect – Full Stack (Incubation Team) We are seeking a Lead AI Solutions Architect – Full Stack to join our Incubation Team, where we explore, prototype, and validate next-generation Generative AI (GenAI) and Agentic AI solutions. This position is a hands-on leadership role requiring practical expertise in Agentic AI, data science, engineering, and solution architecture. It demands close collaboration with product and engineering teams, as well as providing technical guidance across incubation projects. This role is ideal for a builder–thinker who thrives in ambiguity, can rapidly learn new business domains, and enjoys turning complex workflows and user problems into demo-ready, production-minded AI solutions. The role focuses on proof-of-concept development, architectural guidance, and effective handoff to Product Engineering teams.

Requirements

• 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.
• Comfortable working in high-ambiguity, fast-moving incubation environments.
• Able to rapidly learn new domains and context switch across problem spaces.
• Strong problem-solving and analytical thinking skills.
• Effective collaborator with distributed and offshore teams.
• Confident engaging with senior executives and customers.
• 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.

Nice To Haves

• Experience with knowledge graphs or graph-based data models.
• Experience with multi-modal AI systems.
• Background in enterprise SaaS, compliance, or other regulated domains.

Responsibilities

• 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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees