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
Agent Design & Implementation
Build and iterate AI agents end-to-end — from defining goals, personas, and constraints to wiring LLM reasoning with tool execution.
Implement planning strategies including chain-of-thought, ReAct loops, and hierarchical task decomposition to enable agents to solve multi-step problems autonomously.
Design and refine system prompts, few-shot examples, and guardrails that shape agent behavior, tone, and decision-making boundaries.
Terminal-Based AI Coding & Development
Work extensively inside AI-powered coding terminals (OpenCode, DeepAgent) as both a user and a builder — understanding how these tools orchestrate LLM calls, file edits, and shell commands.
Contribute to the development of custom coding agent workflows that automate code generation, review, refactoring, and testing tasks.
Evaluate and benchmark terminal agent behaviors: accuracy of code edits, hallucination rates, context utilization, and multi-file reasoning.
Model Context Protocol (MCP) & Tool Integration
Build and extend MCP servers (using FastMCP and similar frameworks) that expose internal tools, databases, and APIs as structured capabilities for agents.
Design tool schemas, descriptions, and invocation patterns that LLMs can reliably discover and call.
Integrate agents with external services — REST APIs, vector stores, graph databases, and internal SDKs — through well-defined MCP interfaces.
LLM Experimentation & Evaluation
Experiment with a range of open-source LLMs (Qwen, DeepSeek, finetune domain-specific models) to evaluate reasoning quality, latency, cost, and tool-use reliability.
Explore inference optimizations such as speculative decoding, constraint decoding, structured outputs, and router-mode orchestration.
Build and run evaluation pipelines to measure retrieval accuracy, tool-selection precision, hallucination rate, and end-to-end task completion.
Memory & Retrieval Systems
Integrate agents with a broad ecosystem of external systems: vector stores (PgVector, Milvus), relational and graph databases, REST APIs, and internal microservices, all managed through secure, least-privilege access patterns.
Design and test memory architectures — short-term (conversation context), long-term (vector-stored interaction history), and episodic (task-specific recall) — to improve agent continuity and personalization.
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.
SS&C Technologies offers competitive compensation and meaningful learning and development opportunities for interns. Interns are eligible to participate in SS&C's medical plan and Health Savings Account (HSA) but not entitled to participate in any other SS&C benefit plans (e.g. dental, vision, PTO, tuition reimbursement, 401K, holiday pay, etc.).
Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. Massachusetts: The expected hourly wage for the position is between 30.00 USD/hour to 30.00 USD/hour.
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.
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