Lead AI Solutions Architect (Fullstack)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead AI Solutions Architect (Fullstack): Exploring, prototyping, and validating next-generation Generative AI (GenAI) and Agentic AI solutions with an accent on Agentic AI, data science, engineering, and solution architecture. Focus on turning complex workflows and user problems into demo-ready, production-minded AI solutions.
Location: Hybrid (8 days/month) in the USA
Salary: $128,900.00 - $226,050.00 USD. This role is eligible for Bonus.
Company
is a global provider of professional information, software solutions, and services for clinicians, nurses, accountants, lawyers, and tax, finance, audit, risk, compliance, and regulatory sectors.
What you will do
- 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.
- Collaborate closely with UX Design, UX Research, Engineering, and other cross-functional stakeholders.
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.
Nice to have
- Experience with knowledge graphs or graph-based data models.
- Experience with multi-modal AI systems.
- Background in enterprise SaaS, compliance, or other regulated domains.
Culture & Benefits
- offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life.
- Medical, Dental, & Vision Plans.
- 401(k), FSA/HSA, Commuter Benefits.
- Tuition Assistance Plan.
- Vacation and Sick Time, and Paid Parental Leave.
Hiring process
- Applicants may be required to appear onsite at a office as part of the recruitment process.
- 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.
- Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
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