SS&C TECHNOLOGIES
From SS&C TECHNOLOGIES's careers page
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Role Summary We are looking for a Generative AI Developer who can build end-to-end, production-grade applications using Generative AI.
SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
SS&C is a global provider of investment, financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services.
SS&C Blue Prism allows organizations to deliver transformational business value via our intelligent automation platform. We make products with one aim in mind - to improve experiences for people. By connecting people and digital workers you can use the right resource, every time, for the best customer and business outcomes. We supply enterprise-wide software that not only provides full control and governance, but also allows businesses to react fast to continuous change.
Role Summary
We are looking for a Generative AI Developer who can build end-to-end, production-grade applications using Generative AI. The ideal candidate is a strong technologist with experience across web applications, data analysis, and automation, and who understands that GenAI development is as much about language, data, and business context as it is about code.
This role focuses on building solutions using internal / private LLMs, emphasizing security, reliability, and enterprise integration over public API experimentation.
Generative AI & Prompt Engineering
Design, develop, and optimize applications leveraging internal LLM platforms
Create, test, and maintain high-quality prompts to drive accurate and predictable outputs
Few-shot prompting
Prompt chaining
RAG (Retrieval-Augmented Generation)
Establish prompt evaluation and versioning practices
End-to-End Application Development
Build full-stack, end-to-end GenAI applications
Design and implement backend services integrating LLMs with enterprise systems
Develop or collaborate on web-based user interfaces
Integrate GenAI capabilities into existing applications and workflows
Web & Technology Stack
REST APIs
Web frameworks (React, Angular, Vue, or equivalent)
Backend services (Node.js, Java, Python, .NET, etc.)
Understand client-server architecture and web security fundamentals
Build scalable, maintainable application architectures
Data, Analysis & Automation
Analyze structured and unstructured data for GenAI use cases
Translate business requirements into LLM-driven workflows
Perform data validation, transformation, and analysis to support AI pipelines
Collaborate with automation teams; experience with Blue Prism is a plus
Enterprise & Governance
Build solutions aligned with enterprise security, compliance, and governance standards
Work with private/internal LLMs, ensuring data privacy and controlled usage
Document design decisions, prompts, and system behavior clearly
Required Skills & Qualifications
Core Requirements
2–3 years experience building GenAI / LLM-based applications
1–3 years hands-on experience with prompt engineering
Strong written English skills (critical for prompt design and documentation)
Data analysis or business analysis experience (2–3 years)
Ability to code in at least one modern programming language (language-agnostic mindset)
Experience building end-to-end applications, not just models or scripts
Technical Skills
Internal / private LLM platforms
RAG architectures and vector search
APIs and service-oriented architecture
LLM limitations (hallucinations, bias, drift)
Evaluation and validation of model outputs
Cost, latency, and performance trade-offs
Blue Prism RPA experience
Familiarity with LLMOps / MLOps concepts
Knowledge of document-heavy domains (contracts, agreements, reports)
Experience working in regulated or enterprise environments
Mindset & Attributes
Strong analytical and problem-solving skills
Comfortable working across language, data, and code
Business-focused with an outcome-driven mindset
Able to explain GenAI behavior to technical and non-technical audiences
Build real, production-grade GenAI applications
Work with secure, internal LLM platforms
Influence how GenAI is adopted responsibly at scale
Be part of an end-to-end engineering team, not a siloed AI lab
EEO Statement / Non-agency Disclosure
We encourage applications from people of all backgrounds and particularly welcome applications from under-represented groups, to enable us to bring a diversity of perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
Applications will be accepted on an ongoing basis until the position is filled.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
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