Blue Prism Group
Senior AI Platform Engineer
Blue Prism Group, San Francisco, California, United States, 94199
Senior AI Platform Engineer
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. SS&C Advent's financial solutions are going
Agentic ! And we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis Platform used by clients around the globe. We are 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 our enterprise big data platform. We are looking for
Senior AI Platform Engineers
to join our R&D team. These engineers will design and implement the core AI framework, ensuring it seamlessly integrates with our big data infrastructure, and enabling scalable, intelligent, and autonomous data-driven systems. Why You Will Love It Here! Flexibility : Hybrid Work Model & a Business Casual Dress Code, including jeans Your Future : 401 (k) Matching Program, Professional Development Reimbursement Work/Life Balance : Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays Your Wellbeing : Medical, Dental, Vision, Employee Assistance Program, Parental Leave Wide Ranging Perspectives : Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees Training : Hands-On, Team-Customized, including SS&C University Extra Perks : Discounts on fitness clubs, travel, and more! What You Will Get to Do 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
. What You Will Bring Core Skills (Must-Have) 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
. Desired Skills (Nice-to-Have) 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.).
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. SS&C Advent's financial solutions are going
Agentic ! And we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis Platform used by clients around the globe. We are 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 our enterprise big data platform. We are looking for
Senior AI Platform Engineers
to join our R&D team. These engineers will design and implement the core AI framework, ensuring it seamlessly integrates with our big data infrastructure, and enabling scalable, intelligent, and autonomous data-driven systems. Why You Will Love It Here! Flexibility : Hybrid Work Model & a Business Casual Dress Code, including jeans Your Future : 401 (k) Matching Program, Professional Development Reimbursement Work/Life Balance : Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays Your Wellbeing : Medical, Dental, Vision, Employee Assistance Program, Parental Leave Wide Ranging Perspectives : Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees Training : Hands-On, Team-Customized, including SS&C University Extra Perks : Discounts on fitness clubs, travel, and more! What You Will Get to Do 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
. What You Will Bring Core Skills (Must-Have) 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
. Desired Skills (Nice-to-Have) 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.).