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    Job · 23446613

    SS&C Technologies logo

    Generative AI Developer / Engineer/Analyst

    SS&C Technologies · Remote · remote · Posted 1d ago

    Not disclosed2–3 yrsfulltimeSourced fromWorkday

    About a minute. You'll make an account on the way through.

    About this role

    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

    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

    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

    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.

    Sourced from workday

    Skills

    Retrieval Augmented GenerationPrompt EngineeringMLOpsDot Net CoreLarge Language Models (LLMs)PythonVue.JsNode.JsReact.JsJavaAngularjsGenerative Ai

    About SS&C TECHNOLOGIES

    SS&C Technologies logo

    SS&C Technologies

    IT Services & Consulting

    7.5k+

    employees

    1986

    40 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    SS&C Technologies is one of the leading cloud-based providers of financial services technology solutions.

    Industries

    IT Services & ConsultingFinancial ServicesInternet

    Employee ratings

    1,769 reviews

    3.2/ 5

    Culture

    3.0

    Career growth

    2.7

    Work-life

    3.0

    Employees rate it well for

    Work Life Balance339Salary260Senior Management222Work Culture177Learning147

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