AI-Enabled Solution Architect – Data Modernization, GenAI & Business Impact

Cervello-posted 8 days ago
Full-time • Mid Level
Boston, MA
51-100 employees
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We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients. You’ll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions.

  • Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities.
  • Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON).
  • Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multi-modal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs).
  • Drive data quality through embedded validation, monitoring, and automated reporting frameworks.
  • Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support.
  • Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases.
  • Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross-functional collaboration, and delivery excellence.
  • Champion AI and data architecture as strategic enablers of business transformation—linking technology decisions directly to measurable client outcomes.
  • Proven experience designing and scaling GenAI-enabled and data-driven architectures.
  • Strong grounding in software engineering principles and AI/ML enablement.
  • Demonstrated ability to lead, mentor, and grow cross-functional technical teams.
  • Track record of delivering innovative, scalable solutions that drive clear business value.
  • Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges.
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