AI-Enabled Solution Architect – Data Modernization, GenAI & Business Impact jobs in United States
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Cervello · 1 day ago

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

positionBoston, MA
timeFull-time
remoteOnsite
senioritySenior Level

Cervello is a company focused on harnessing the interconnectedness of digital, data, and decision-making. They are seeking an AI-Enabled Solution Architect to lead the design and delivery of AI-native data and analytics solutions, integrating Generative AI and modern data engineering to deliver value to clients.

AnalyticsBusiness IntelligenceCloud ComputingConsultingData ManagementSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

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

Qualification

GenAI architectureData engineeringAI/ML enablementPythonSQLData analyticsMLOps frameworksMentoringCross-functional collaborationProblem solving

Required

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
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
Programming & APIs: 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

Company

Cervello

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Cervello is dedicated to helping progressive enterprises dramatically improve data management and business analytics.
dateFounded in 2009
location
Boston, Massachusetts, USA
people-size51-200 employees
web-link
http://www.mycervello.com

H1B Sponsorship

Cervello has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (4)
2023 (16)
2022 (19)
2021 (15)
2020 (19)

Funding

Current Stage
Growth Stage
Total Funding
unknown
2019-01-17Acquired

Leadership Team

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Jim Leavitt
co-CEO and Founder
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Scot MacGillivray
CEO
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Company data provided by crunchbase