GenAI & Data Architecture Lead for AI Transformation

Kearney; Boston (MA); On-site; USD 165,000 - 210,000; Full time

Job summary

Kearney is seeking a Data and AI Solutions Architect to lead the regional design and delivery of AI-native data and analytics solutions. This role embeds Generative AI, Agentic Intelligence, and modern data engineering into client engagements to deliver value at scale.

You will mentor multidisciplinary teams, translate emerging capabilities into practical, high-impact solutions, and drive measurable business outcomes for complex client environments.

Qualifications

• Experience designing GenAI-enabled, data-driven architectures.
• Strong software engineering fundamentals and AI/ML enablement.
• Proven ability to lead, mentor, and grow cross-functional teams.
• Track record of delivering scalable, high-impact solutions.

Responsibilities

• Architect scalable platforms integrating modern data engineering with GenAI and Agentic AI.
• Design end-to-end ingestion, transformation, and classification pipelines.
• Implement RAG pipelines with various retrieval strategies.
• Drive data quality with validation, monitoring, and reporting.
• Enable in-context learning and enterprise-scale agent design for automation.
• Lead exploratory data analysis and ML model integration.
• Mentor and grow a high-performing team of architects, engineers, analysts.

Skills

GenAI architectures

Data-driven architectures

Leadership

Mentoring teams

Software engineering

AI/ML enablement

Communication skills

Tools

Langfuse

LangGraph

LlamaIndex

FAISS

PGVector

Weaviate

AWS Bedrock

Azure AI Search

RAGAS

Job description

Kearney is seeking a Data and AI Solutions Architect to lead the regional design and delivery of AI-native data and analytics solutions. This role embeds Generative AI, Agentic Intelligence, and modern data engineering into client engagements to deliver value at scale.

You will mentor multidisciplinary teams, translate emerging capabilities into practical, high-impact solutions, and drive measurable business outcomes for complex client environments.