2 часа назад
Director of Engineering - Agentic AI Platform
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Engineering - Agentic AI Platform (AI/Data Science): Leading engineering teams to build enterprise-ready agentic AI frameworks and production AI/ML solutions with an accent on orchestration, tool use, memory, RAG, and scalable cloud deployment. Focus on designing reusable AI platforms, establishing CI/CD and model governance practices, and delivering secure LLM-based systems across product and infrastructure teams.
Location: Waltham, Massachusetts, United States; hybrid work model
Company
SS&C is a financial services and healthcare technology company headquartered in Connecticut, with more than 27,000 employees across 35 countries.
What you will do
- Lead multiple engineering teams focused on AI, data science, and platform development.
- Design and implement agentic AI frameworks covering orchestration, tool use, memory, workflow automation, and multi-agent systems.
- Oversee AI/ML and LLM solutions from concept through production, ensuring scalability, security, and maintainability.
- Establish engineering practices for CI/CD, testing, observability, model lifecycle management, and performance monitoring.
- Partner with Product, Architecture, Cloud, Security, UX, Data, and Infrastructure teams to define roadmaps and deliver reusable AI services.
- Mentor engineering managers, technical leads, and senior engineers while communicating execution, risks, and outcomes to senior leadership.
Requirements
- Expert Python skills and hands-on experience with agentic libraries such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or BeeAI.
- Strong knowledge of LLMs, fine-tuning, embeddings, vector similarity search, and RAG pipelines.
- Experience with vector and graph databases, SQL/NoSQL systems, ETL pipelines, Docker, Kubernetes, cloud platforms, serverless deployment, CI/CD, and infrastructure as code.
- Knowledge of secure coding, IAM/RBAC, encryption, prompt-injection mitigation, bias auditing, and AI governance.
- Master’s degree, PhD, or equivalent experience in a relevant technical field; 5–7 years of AI/ML or software engineering experience and 12+ years leading and developing teams.
- Strong leadership, communication, data science, machine learning, cloud delivery, GenAI, and fintech business experience.
Culture & Benefits
- Collaborative, agile environment focused on iterative delivery, research, experimentation, and state-of-the-art AI methods.
- 401(k) matching, professional development reimbursement, and SS&C University training.
- Flexible personal and vacation time off, sick leave, and paid holidays.
- Medical, dental, vision, employee assistance, and parental leave benefits.
- Business-casual dress code and additional fitness and travel discounts.
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