Senior AI Developer

Company Overview

SS&C is a global provider of investment and 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.

Overview for senior role:

We are looking to hire Senior AI Developers to drive the technical evolution of our automation capability, moving beyond traditional RPA limits to build entirely new, highly sophisticated solutions that were previously impossible. In this role, you will design and build resilient, code-first frameworks using Python, C# .NET, and Typescript. You will own the technical design of end-to-end solutions, using Blue Prism Work HQ to manage RPA and Agentic processes. This is a hands-on software engineering role for developers who want to pioneer next-generation intelligent automation, build complex tool-use infrastructure from scratch, and establish the development standards for a growing team.

Key Responsibilities

• AI-Driven Development: Build, optimize, and maintain scalable automation workflows using Claude Code and modern AI development tools to accelerate software delivery and agentic workflows.
• GenAI & Agentic Orchestration: Develop and deploy autonomous AI agents and skills that interact with advanced Large Language Models (LLMs) via the SS&C AI Gateway, seamlessly blending them with WHQ Agents and Digital Workers.
• Modern UI Automation: Design and build robust, resilient automation frameworks targeting desktop applications via FlaUI and modern web systems using Playwright, completely moving away from legacy application spying techniques.
• Enterprise Work Queue Management: Design and optimize high-throughput automation architectures utilizing Blue Prism v7 Work Queues (Work HQ) to manage transactional data, case locking, and exception handling for hybrid AI-human workflows.
• Hybrid Solution Architecture: Lead the technical design of end-to-end Intelligent Automation (IA) solutions, incorporating Blue Prism Chorus for BPM and GenAI orchestration where human-in-the-loop intervention is required.
• Prompt Engineering & Fine-Tuning: Design, evaluate, and refine complex prompt structures and system instructions to ensure predictable, structured, and deterministic outputs from AI models.
• Standards, Governance & Trust: Adhere to GIDS best practices, ensuring all automation components, WHQ Agents, and generative AI integrations comply with enterprise-grade security, data privacy, and ethical AI guardrails.

Technical Skills & Qualifications

Critical Software Engineering Skills

• Python: Critical Requirement. Expert proficiency for AI/LLM tooling, data processing, and scripting agentic or web-based automation workflows (e.g., Playwright, LangChain).
• C# .NET: Critical Requirement. Robust experience for building enterprise-grade backend integrations, custom automation solutions, and handling native desktop interactions via FlaUI.
• TypeScript: Critical Requirement. Strong proficiency for modern web-based automation with Playwright, cloud functions, and front-end/API orchestration within advanced AI platforms.

Mandatory Database & SQL Competency

• PostgreSQL: Mandatory Requirement. Advanced experience in designing, querying, and managing relational databases for transactional logging, configuration, and enterprise scaling.
• MS SQL: Mandatory Requirement. Deep proficiency with Microsoft SQL Server, complex queries, indexing, and stored procedures to support backend enterprise systems.

Generative AI & Intelligent Automation

• AI Development Tools: Hands-on experience with Claude Code, Anthropic APIs, and open-source AI frameworks to build autonomous systems.
• Platform Integration: Proficiency in integrating enterprise environments, WHQ Agents, and Digital Workers with cloud-based AI ecosystems (e.g., AWS Bedrock, Azure OpenAI, Google Vertex AI).
• Data Transformation: Expert knowledge in processing complex, unstructured data (emails, multi-page PDFs, legal documents) using GenAI extraction and advanced OCR tools.
• Prompt Engineering: Deep understanding of advanced prompting techniques (Chain-of-Thought, Few-Shot, Retrieval-Augmented Generation) and token management.

Core Platform & Framework Infrastructure

• UI Automation Libraries: Advanced, hands-on experience with Playwright for high-performance web testing/automation and FlaUI for reliable accessibility-based desktop automation.
• Blue Prism Ecosystem: Strong experience with Blue Prism Enterprise v7.x (v7.4 or above preferred) with an emphasis on Control Room management, deployment, and backend API usage rather than traditional client-side studio development.
• Queue Architecture: Mastery of Work Queues (Work HQ) configuration, priority tagging, and multi-robot queue consumption models.

Preferred Experience

• Vector Databases: Nice-to-have experience with vector storage systems (e.g., Pinecone, Milvus, pgvector) to implement semantic search and advanced RAG (Retrieval-Augmented Generation) patterns.
• Blue Prism Professional Developer Certification.
• Experience transitioning traditional RPA architectures into code-first, AI-driven automation ecosystems involving hybrid WHQ Agents and Digital Workers.
• Familiarity with Agile delivery methodologies, CI/CD pipelines, and LLMOps/DevOps practices.
• Understanding of VPC environments (Az