Generative AI Developer

Job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 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. Job Description About SS&C Technologies 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. Key Responsibilities 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 Apply advanced prompting techniques including: 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 Work with modern web technologies , such as: 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 Experience with: Internal / private LLM platforms RAG architectures and vector search APIs and service-oriented architecture Solid understanding of: LLM limitations (hallucinations, bias, drift) Evaluation and validation of model outputs Cost, latency, and performance trade-offs Preferred / Nice-to-Have Skills Blue Prism RPA experience Experience with enterprise web applications 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 Why Join Us 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.