AI-Enabled Solution Architect – Data Modernization, GenAI & Business ImpactCervello Inc • Boston, MA, US
AI-Enabled Solution Architect – Data Modernization, GenAI & Business Impact
Cervello Inc • Boston, MA, US
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[job_card.job_description]PySpark, Python, FastAPI, FastMCP, SQL, OAuth2 GenAI & Agentic Tools : RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search) AI Architectures : Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Engineering : Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows Data Analytics & Quality : Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration : Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML / LLM pipelines across environments Ideal Background 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. ABOUT US : OUR WORKPLACE IS FUN AND FAST-PACED We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving. We take our work seriously but not ourselves. It’s the perfect balance of freedom and accountability. If you want to be part of something great – join us! Equal Employment Opportunity and Nondiscrimination Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices.
Position :
- AI-Enabled Solution Architect – Data Modernization, GenAI & Business Impact 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. Key Responsibilities 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. Technologies & Concepts Programming & APIs :
Members of communities historically underrepresented in analytics and consulting are encouraged to apply. Revised 7 / 21 / 2025 Powered by JazzHR
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