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About the Role

SS&C Advent is building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of their enterprise big data platform. Senior AI Platform Engineers will design and implement the core AI framework, ensuring seamless integration with their big data infrastructure for scalable, intelligent, and autonomous data-driven systems.

Responsibilities

Design and build a scalable Agentic AI framework on top of our data platform.
Implement MCP- and A2A-based architectures for agent collaboration and orchestration.
Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT).
Build APIs, SDKs, and tooling to enable other teams to use the framework.
Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents.
Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption.
Mentor other engineers and contribute to AI engineering best practices.

Requirements

Strong programming skills in Python with 5+ years of experience.
Proven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes).
Deep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A).
Hands-on experience with API design & integration (REST, GraphQL, gRPC).
Knowledge of cloud infrastructure & container orchestration (Kubernetes, Docker).
Strong understanding of IAM, security, and multi-tenancy in enterprise systems.
Track record of building production-grade AI/data platforms.
Experience in Information Security.
Experience with vector databases (pgvector, Pinecone, Weaviate, Milvus, Vespa).
Familiarity with event-driven architectures (Kafka, Pulsar).
Understanding of retrieval-augmented generation (RAG) patterns.
Background in authorization/identity systems (ReBAC, RBAC, Zanzibar-style).
Familiarity with observability (OpenTelemetry, DataHub, MLflow, Prometheus).
Experience in enterprise AI governance (audit, lineage, compliance).
Contributions to open-source AI frameworks (LangChain, OpenAI MCP, Hugging Face, etc.).

Skills

Python
Data Engineering
Distributed Systems
Spark
Hive
Trino
StarRocks
DBT
Airflow
Kubernetes
LLM
Agent Frameworks
LangChain
LlamaIndex
DSPy
OpenAI MCP
A2A
API Design
API Integration
REST
GraphQL
gRPC
Cloud Infrastructure
Container Orchestration
Docker
IAM
Security
Multi-tenancy
Vector Databases
pgvector
Pinecone
Weaviate
Milvus
Vespa
Event-Driven Architectures
Kafka
Pulsar
Retrieval-Augmented Generation (RAG)
Authorization Systems
Identity Systems
ReBAC
RBAC
Zanzibar-style
Observability
OpenTelemetry
DataHub
MLflow
Prometheus
Enterprise AI Governance
Open-Source AI Frameworks
Hugging Face

Location

San Francisco, CA
Jacksonville, FL
Boston, MA
New York, NY

Work Type

Hybrid

Experience Level

Senior

Salary/Compensations

California: 140,000 USD to 180,000 USD
Other States: 140,000 USD to 180,000 USD
Massachusetts: 140,000 USD to 180,000 USD

Benefits

401(k) Matching Program
Professional Development Reimbursement
Flexible Personal/Vacation Time Off
Sick Leave
Paid Holidays
Medical Coverage
Dental Coverage
Vision Coverage
Employee Assistance Program
Parental Leave
Discounts on fitness clubs
Discounts on travel

About the Company

SS&C is a leading financial services and healthcare technology company based on revenue.
Headquartered in Windsor, Connecticut, with 27,000+ employees in 35 countries.
Serves approximately 20,000 financial services and healthcare organizations.
Provides expertise, scale, and technology to organizations ranging from the world's largest companies to small and mid-market firms.

Equal Opportunity

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.