Generative AI Developer / Engineer/Analyst

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.

About SS&C

• 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.

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

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

Requirements

• Job Title Generative AI Developer / Engineer/Analyst Experience 2–3 years of hands-on experience in Generative AI / LLM-based solutions 2–3 years of experience in data analysis, business analysis, or analytics-driven roles 1–3 years of experience in prompt engineering
• 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
• Internal / private LLM platforms RAG architectures and vector search APIs and service-oriented architecture

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

Solid understanding of

LLM limitations (hallucinations, bias, drift) Evaluation and validation of model outputs Cost, latency, and performance trade-offs

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.