Lead Data Scientist

seic; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

SEI is seeking a Lead Data Scientist, Generative AI & Intelligent Systems to shape the next wave of AI across the enterprise. You will drive strategy, design and deploy scalable AI solutions including copilots, RAG pipelines, and intelligent automation, working with business leaders and engineering teams to turn AI capabilities into tangible business value.

You will mentor teams, establish governance standards, and ensure responsible AI practices while leading product development from ideation

Qualifications

• Bachelor’s degree or equivalent experience; advanced degrees are a plus.
• 10+ years of experience in Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or related disciplines.
• Proven experience delivering enterprise-scale Generative AI and Machine Learning solutions from concept through production.
• Deep expertise in Large Language Models (LLMs), Generative AI architectures, Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration frameworks.
• Strong cloud expertise in Azure, AWS, or GCP, including AI platform services and production deployment architectures.

Responsibilities

• Define and drive SEI's AI strategy across Machine Learning, Generative AI, Agentic AI, and Intelligent Automation initiatives.
• Lead the design and delivery of enterprise-scale AI solutions including: Generative AI applications, RAG platforms, conversational AI and enterprise chatbots, AI copilots and virtual assistants, multi-agent and agentic AI systems, knowledge discovery and search solutions.
• Architect AI systems that integrate LLMs, enterprise knowledge repositories, APIs, and business workflows with scalability, security, and governance.
• Evaluate emerging AI technologies, foundation models, frameworks, orchestration platforms, and agentic architectures for strategic fit.
• Lead AI product development from ideation through deployment, including experimentation, prototyping, productionization, monitoring, and continuous improvement.
• Establish best practices and standards for LLMOps, AI governance, prompt engineering, model evaluation, AI safety, observability, and responsible AI.
• Partner with business stakeholders to identify high-value AI opportunities and translate challenges into AI-powered solutions.
• Design and oversee RAG pipelines, vector databases, semantic search architectures, and knowledge management solutions.
• Guide the development of AI-enabled products leveraging structured and unstructured data sources.
• Collaborate with security, privacy, legal, and risk teams to meet regulatory, governance, and compliance requirements.
• Mentor and develop data scientists, AI engineers, architects, and technical leaders while fostering innovation and continuous learning.
• Communicate AI strategy, solution architectures, business value, and technical insights to executives and non-technical stakeholders.

Skills

Advanced Python development

Azure AI

OpenAI

LangChain

Semantic Kernel

Vector databases

AI architectures

Education

Bachelor's degree

MS, MBA, PhD, or CFA designation is a plus

Tools

APIs

LLMs

RAG platforms

Job description

SEI is seeking an accomplished and visionary Lead Data Scientist, Generative AI & Intelligent Systems to lead the next generation of AI innovation across the enterprise. This leader will define and execute SEI's AI strategy spanning traditional machine learning, Generative AI, Agentic AI, intelligent automation, and AI-powered digital experiences. The role will drive the design, development, and deployment of scalable AI solutions including enterprise copilots, RAG-based knowledge systems, AI agents, intelligent workflow automation, and advanced predictive analytics.

Working closely with business leaders, product teams, architects, cybersecurity, and engineering teams, this individual will transform emerging AI capabilities into practical business solutions while establishing scalable frameworks, governance standards, and AI best practices across the organization.

What You Will Do

• Define and drive SEI's AI strategy across Machine Learning, Generative AI, Agentic AI, and Intelligent Automation initiatives.
• Lead the design and delivery of enterprise-scale AI solutions including: Generative AI applicationsRAG (Retrieval-Augmented Generation) platformsConversational AI and enterprise chatbotsAI copilots and virtual assistantsMulti-agent and agentic AI systemsKnowledge discovery and search solutions
• Architect AI systems that integrate Large Language Models (LLMs), enterprise knowledge repositories, APIs, and business workflows while ensuring scalability, security, and governance.
• Evaluate emerging AI technologies, foundation models, frameworks, orchestration platforms, and agentic architectures to determine strategic fit for SEI.
• Lead AI product development from ideation through deployment, including experimentation, prototyping, productionization, monitoring, and continuous improvement.
• Establish best practices and standards for LLMOps, AI governance, prompt engineering, model evaluation, AI safety, observability, and responsible AI.
• Partner with business stakeholders to identify high-value AI opportunities and translate business challenges into innovative AI-powered solutions.
• Design and oversee RAG pipelines, vector databases, semantic search architectures, and knowledge management solutions.
• Guide the development of AI-enabled products leveraging structured and unstructured data sources.
• Collaborate with security, privacy, legal, and risk teams to ensure AI solutions meet regulatory, governance, and compliance requirements.
• Mentor and develop data scientists, AI engineers, architects, and technical leaders while fostering a culture of innovation, experimentation, and continuous learning.
• Communicate AI strategy, solution architectures, business value, and technical insights to executive leadership and non-technical stakeholders.

What We Need From You

• Bachelor's degree from an accredited college or university and/or equivalent relevant experience. MS, MBA, PhD, or CFA designation is a plus.
• 10+ years of experience in Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or related disciplines.
• Demonstrated experience delivering enterprise-scale Generative AI and Machine Learning solutions from concept through production.
• Deep expertise in Large Language Models (LLMs), Generative AI architectures, Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration frameworks.
• Strong experience designing AI applications using technologies such as Azure AI, OpenAI, Anthropic, LangChain, Semantic Kernel, AutoGen, CrewAI, MCP, vector databases, and related AI ecosystems.
• Strong understanding of Agentic AI patterns including planning, orchestration, memory, tool use, workflow automation, and multi-agent systems.
• Experience implementing AI governance, model evaluation, AI observability, security controls, and responsible AI frameworks.
• Strong cloud expertise in Azure, AWS, or GCP, including AI platform services and production deployment architectures.
• Advanced Python development skills and experience building scalable AI applications and APIs.
• Experience working with structured and unstructured data, knowledge repositories, search platforms, and document intelligence solutions.
• Proven ability to balance innovation with governance, risk management, security, and operational excellence.

What We Would Like From You

• Demonstrated thought leadership in Artificial Intelligence, Generative AI, Agentic AI, or related emerging technologies.
• Experience defining enterprise AI roadmaps, operating models, governance structures, and adoption strategies.
• Strong understanding of financial services, wealth management, or regulated industry environments.
• Exceptional communication and executive presentation skills with the ability to influence senior leadership and stakeholders.
• Proven ability to lead cross-functional teams consisting of AI engineers, data scientists, architects, product managers, cybersecurity professionals, and business leaders.
• Experience evaluating third-party AI platfo