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Agentic AI Engineer , AVP
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AVP -Agentic AI Engineer
About the Role
We areseekingexperienced and strategic professionals to join our GenAICenterof Excellence at State Street as Agentic AI Engineers at the AVP level. This opportunity is ideal for technical leaders with a strong background in architecting agentic systems and event-driven platforms. You will lead the definition and implementation of multi-agent workflow patterns, set runtime and SRE/DevOps standards, and partner closely with architects and product owners to shape the future of our agentic AI platform.
Key Responsibilities
Lead the architecture and optimization of advanced multi-agent workflows across platforms, standardizing the use of agent frameworks likeLangChain,Langraph, andGoogleADKto ensure scalability and reliability.
Set and enforce runtime, SRE/DevOps, and reliability standards for agentic systems deployed on AWS, Google Cloud, and Azure.
Define A2A protocol and connector sandbox isolation standards across pods.
Collaborate with architects and product owners to translate platform roadmaps into runtime capabilities,optimizingfor multi-cloud agentic stack deployments.
Lead technical hiring, coaching, and development of Officers and Senior Associates.
Direct incident response and post-incident reviews for critical runtime issues across cloud platforms.
Oversee documentation, compliance, and performance reviews for enterprise agentic systems.
Drive adoption of emerging technologies and innovative practices in AI system engineering, including leveraging advanced cloud-native services.
Required Qualifications
Bachelor's orMaster's degree in Computer Science, Engineering, or a related field.
8-14 years of progressive experience in software engineering, with a focus on agentic AI, distributed systems, or orchestration platforms.
Proficient in Python and familiar with at least oneadditionalmodern programming language (such as Java, Go, or C++).
Demonstrated leadership in architecting and implementing complex agentic or event-driven systems across cloud platforms (AWS, Google Cloud, Azure).
Deepexpertisein A2A protocols, runtime environments, and cloud-native DevOps practices.
Experienceestablishingtechnical standards, overseeing compliance, and driving adoption of emerging technologies.
Proventrack recordin technical mentorship, incident response leadership, and cross-functional collaboration.
Familiarity with enterprise security, IAM/RBAC, and sandboxing in cloud environments.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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Job ID: 153075853
Skills:
Api Integration, Python, LLMs, agentic frameworks, fine tuning techniques, AI ML frameworks, Planning Systems, ethical AI principles, AutoGen, LangChain, reasoning algorithms, CrewAI, safety mechanisms, reinforcement learning, tool augmentation, prompt engineering
Skills:
GenAI, Agentic, LangChain Ecosystem, Classical ML
Skills:
Sql, Data Factory, MLops, Etl, Nosql, REST, Azure ML, Data Lineage, Azure Functions, FastAPI, Python, Kubernetes, Docker, LLMs, AKS, ModelOps, Synapse, embeddings, CI CD, Weaviate, LoRA, Azure AI, LangChain, Pinecone, LangGraph, Milvus, KeyVault, GRPC, vector DBs, data privacy controls, Azure OpenAI GPT, RAG architectures
Skills:
data engineering , Machine Learning, MLops, Natural Language Processing, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language, Generative AI LLMs
Skills:
Python Scripting, Terraform, MongoDB, Cosmos DB, Secretless Authentication, Entra ID, Langchain, API Variant, Azure PaaS Stack, Managed Identities, semantic kernel, Zero-Trust Topologies, Private Networking, AI LLM Gateway Experience, CI CD, Azure Operations, GitHub Actions, Langgraph, AI frameworks, Enterprise level Observability
