Job description

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. 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 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 .

Requirements

Must-haves

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.
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.
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:
Semantic Kernel

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonllmazureapici/cdaws

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave

Wellness