Generative AI Developer

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.

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 Prismallows 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 aGenerative AI Developerwho can buildend-to-end, production-grade applicationsusing Generative AI. The ideal candidate is astrong technologistwith experience acrossweb applications, data analysis, and automation, and who understands that GenAI development is as much aboutlanguage, data, and business contextas it is about code.

This role focuses on building solutions usinginternal / private LLMs, emphasizingsecurity, reliability, and enterprise integrationover public API experimentation.

Key ResponsibilitiesGenerative AI & Prompt Engineering

• Design, develop, and optimize applications leveraginginternal LLM platforms
• Create, test, and maintainhigh-quality promptsto 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

• Buildfull-stack, end-to-end GenAI applications
• Design and implement backend services integrating LLMs with enterprise systems
• Develop or collaborate onweb-based user interfaces
• Integrate GenAI capabilities into existing applications and workflows

Web & Technology Stack

• Work with modernweb 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 intoLLM-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 withenterprise 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 & QualificationsCore Requirements

• 2–3 years experiencebuildingGenAI / LLM-based applications
• 1–3 years hands-on experiencewithprompt engineering
• Strongwritten English skills(critical for prompt design and documentation)
• Data analysis or business analysis experience(2–3 years)
• Ability to code inat least one modern programming language(language-agnostic mindset)
• Experience buildingend-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 withenterprise web applications
• Familiarity withLLMOps / MLOpsconcepts
• Knowledge ofdocument-heavy domains(contracts, agreements, reports)
• Experience working inregulated or enterprise environments

Mindset & Attributes

• Strong analytical and problem-solving skills
• Comfortable working acrosslanguage, data, and code
• Business-focused with an outcome-driven mindset
• Able to explain GenAI behavior to technical and non-technical audiences

Why Join Us

• Buildreal, production-grade GenAI applications
• Work withsecure, 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.