Lead AI Solutions Architect - Full Stack

Location: USA - Princeton, NJ, USA - Glen Allen, VA, USA - Coppell, TX, USA - Waltham, MA, USA - Philadelphia, PA, USA - Riverwoods, IL, USA - New York City, NY, USA - Chicago, IL, West Adams St, USA - Houston, TX, Allen Pkwy

Remote Type: Hybrid (8 days/month)

Time Type: Full time

Job Description

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.

Key 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.

Technical Skills & Platform Expertise

• 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.

Ways of Working

• 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.

Qualifications:

• 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.

Preferred Qualifications

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

Enablement

Willingness to complete internal GenAI platform training and certification.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

Compensation range listed is based on primary location of the position.  Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. 

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.