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Software Engineer II, Data Scientist

Seic

Oaks, PA, UShybrid

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About this 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, a hybrid working environment for most roles, 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.

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.  

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

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