SE
SeicData Scientist II
LocationUSA - PA - Oaks
Typefull-time
SeniorityMid
Experience3+ yrs
Company size1,001–5,000 people
PostedSep 23, 2026 · 2w ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience
At least 3 years of Python development skills with a strong understanding of software engineering principles and enterprise architecture
Hands-on experience building and deploying LLM-powered applications in production environments
Deep knowledge of Retrieval-Augmented Generation (RAG)
Deep knowledge of Vector databases
Deep knowledge of Embedding models
Deep knowledge of Semantic search architectures
Deep knowledge of Agentic AI frameworks
Deep knowledge of Prompt engineering
Deep knowledge of Model evaluation techniques
Experience with modern AI frameworks and tooling such as LangChain
Experience with modern AI frameworks and tooling such as LangGraph
Experience with modern AI frameworks and tooling such as Semantic Kernel
Experience with modern AI frameworks and tooling such as LlamaIndex
Experience with modern AI frameworks and tooling such as AutoGen
Experience with modern AI frameworks and tooling such as CrewAI
Experience with modern AI frameworks and tooling such as OpenAI
Experience with modern AI frameworks and tooling such as Azure AI Foundry
Experience with modern AI frameworks and tooling such as Anthropic
Experience with modern AI frameworks and tooling such as Open-source LLM platforms
Strong software engineering background with experience in API development
Strong software engineering background with experience in Microservices
Strong software engineering background with experience in Cloud-native architectures
Strong software engineering background with experience in CI/CD pipelines
Strong software engineering background with experience in DevOps practices
Experience with Azure, AWS cloud platforms
Strong understanding of AI governance, security, responsible AI, and enterprise deployment considerations
Proven ability to move rapidly from idea to production while balancing innovation, scalability, and risk
Demonstrated success delivering solutions that achieve meaningful business adoption and measurable outcomes
Skills
Python
Generative AI
Retrieval-Augmented Generation (RAG)
AI agents
LLM orchestration
Vector databases
Knowledge graphs
Semantic search
LangChain
LangGraph
Semantic Kernel
LlamaIndex
AutoGen
CrewAI
OpenAI
Azure AI Foundry
Anthropic
Open-source LLM platforms
API development
Microservices
Cloud-native architectures
CI/CD pipelines
DevOps
Azure
AWS
Benefits
Health insurance
Dental insurance
Vision insurance
Prescription coverage
Wellness program
EAP
FSA
Life insurance
Disability insurance
401(k)
Education assistance
Commuter benefits
Paid holidays
PTO
Paid parental leave
Backup childcare
Paid volunteer days
Stock purchase plan
About the role
SEI is seeking a Software Engineer, Data Scientist to join our Enterprise Artificial Intelligence team. This role is designed for a highly technical builder who lives at the forefront of AI innovation and is passionate about transforming emerging technologies into enterprise-scale solutions.
The ideal candidate has expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), AI agents, LLM orchestration, and modern AI engineering practices. They possess the rare combination of technical depth, creativity, business acumen, and execution excellence required to rapidly design, build, and deliver AI solutions that drive measurable business impact.
This individual will serve as both a thought leader and technical catalyst, continuously evaluating emerging AI technologies while helping SEI translate innovation into secure, scalable, and widely adopted solutions.
What You Will Do
•
Design, architect, and develop enterprise-grade AI applications leveraging Large Language Models (LLMs), agentic frameworks, RAG architectures, and emerging AI technologies.
•
Build production-ready AI solutions from concept to deployment, driving adoption across business and technology teams.
•
Develop intelligent assistants, copilots, autonomous agents, workflow automations, and knowledge-based AI systems.
•
Design and optimize RAG pipelines, vector databases, knowledge graphs, semantic search solutions, and document intelligence systems.
•
Rapidly prototype innovative AI capabilities and convert promising concepts into scalable enterprise platforms.
•
Evaluate emerging AI tools, models, frameworks, and open-source technologies to identify opportunities that accelerate SEI’s AI strategy.
•
Build robust APIs, integrations, orchestration layers, and backend services that enable AI capabilities across the enterprise.
•
Implement AI governance, security, observability, testing, and monitoring practices throughout the solution lifecycle.
•
Contribute to AI platform strategy, reusable accelerators, development frameworks, and enterprise AI architecture.
•
Stay continuously current on advancements in Generative AI, agentic systems, reasoning models, multimodal AI, open-source ecosystems, and enterprise AI engineering.
What We Need From You
•
Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
•
At least 3 years of Python development skills with a strong understanding of software engineering principles and enterprise architecture.
•
Hands-on experience building and deploying LLM-powered applications in production environments.
Deep knowledge of:
•
Retrieval-Augmented Generation (RAG)
•
Vector databases
•
Embedding models
•
Semantic search architectures
•
Agentic AI frameworks
•
Prompt engineering
•
Model evaluation techniques
Experience with modern AI frameworks and tooling such as:
•
LangChain
•
LangGraph
•
Semantic Kernel
•
LlamaIndex
•
AutoGen
•
CrewAI
•
OpenAI
•
Azure AI Foundry
•
Anthropic
•
Open-source LLM platforms
Strong software engineering background with experience in:
•
API development
•
Microservices
•
Cloud-native architectures
•
CI/CD pipelines
•
DevOps practices
•
Experience with Azure, AWS cloud platforms.
•
Strong understanding of AI governance, security, responsible AI, and enterprise deployment considerations.
•
Proven ability to move rapidly from idea to production while balancing innovation, scalability, and risk.
•
Demonstrated success delivering solutions that achieve meaningful business adoption and measurable outcomes.
What we would like from you:
•
Obsessive curiosity about AI and emerging technologies.
•
A builder mentality with a passion for creating solutions rather than researching concepts.
•
Ability to quickly learn, evaluate, and operationalize new technologies.
•
Creative, outside-the-box thinker who challenges conventional approaches.
•
Proven ability to influence technical direction and drive innovation across teams.
•
Strong communication skills with the ability to explain complex AI concepts to both technical and executive audiences.
SEI’s competitive advantage:
To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, a strong retirement plan, tuition reimbursement, support for working parents and flexible Paid Time Off (PTO) so you can relax, recharge and be there for the people you care about.
Benefits include healthcare (medical, dental, vision, prescription, wellness, EAP, FSA), life and disability insurance (premiums paid for base coverage), 401(k) match, education assistance, commuter benefits, up to 11 paid holidays/year, 21 days PTO/year pro-rated for new hires which increases over time, paid parental leave, back-up childcare arrangements, paid volunteer days, a discounted stock purchase plan, investment options, access to thriving employee networks and more.
About the company
We are a technology and asset management company delivering on our promise of building brave futures (SM)—for our clients, our communities, and ourselves. Come build your brave future at SEI.
Legal
The position title reflected in this job description is aligned with SEI’s current internal job architecture. As part of SEI’s role and career framework, internal job titles may not directly correspond to external market titles and may differ from titles previously assigned during an employee’s tenure or at the time of hire.
SEI is an Equal Opportunity Employer and so much more…
After over 50 years in business, SEI remains a leading global provider of investment processing, investment management, and investment operations solutions. Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce. We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth. At SEI, we’re (literally) invested in your success. We offer our employees paid parental leave, back-up childcare arrangements, paid volunteer days, education assistance and access to thriving employee networks.
SEI is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.
AI Acceptable Use in the application and interview process:
SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives. If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines.