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    Job · 11405779

    State Street logo

    AI Orchestration Engineer, Cybersecurity - Assistant Vice President

    State Street · Bengaluru · onsite · Posted 69d ago

    Not disclosed10–15 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Who we are looking for:

    The State Street Global Cybersecurity (GCS) organization is seeking an AI Orchestration Engineer to help build the next generation of enterprise AI capabilities across Cybersecurity functions.

    As part of the GCS team, you will operate at the intersection of Artificial Intelligence, Agentic Systems, Data Engineering, and Enterprise Governance. This role is responsible for designing, engineering, and operationalizing scalable AI orchestration frameworks that transform enterprise data into intelligent, auditable, and secure business outcomes.

    This role requires strong capabilities in both AI Engineering and Data Engineering. You will design data products, orchestrate multi-agent workflows, develop Retrieval-Augmented Generation (RAG) systems, integrate enterprise knowledge sources, and establish the governance and observability capabilities required to operate AI safely within a highly regulated financial services environment.

    What you will be responsible for:

    • Design and engineer AI orchestration frameworks that coordinate multiple models, agents, tools, APIs, and enterprise applications.
    • Develop agent-to-agent and human-in-the-loop workflows that automate complex operational and analytical processes.
    • Build reusable orchestration patterns that enable rapid deployment of AI-enabled business capabilities.
    • Design and develop scalable data pipelines supporting AI, analytics, and agentic workflows.
    • Build enterprise data products optimized for AI consumption.
    • Design and implement enterprise RAG architectures.
    • Develop reusable AI platform components supporting multiple use cases and business domains.
    • Implement MLOps and LLMOps deployment, monitoring, versioning, and governance capabilities.
    • Implement Responsible AI guardrails, governance controls, and model risk management processes.
    • Build AI observability, evaluation, telemetry, and performance measurement solutions.

    What we value:

    State Street is accelerating the adoption of AI-enabled capabilities to improve operational efficiency, enhance cybersecurity resilience, strengthen risk management, and deliver intelligent experiences across the enterprise.

    As an AI Orchestration Engineer, you will help establish the AI execution layer that enables secure collaboration between enterprise data platforms, large language models, internal knowledge repositories, agentic workflows, governance controls, and human decision makers.

    Mandatory skills / experience:

    Minimum Qualifications

    • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Artificial Intelligence, or equivalent practical experience.
    • 10 - 15 years of experience in Data Engineering, Machine Learning Engineering, Software Engineering, or related disciplines.
    • 3-5 years of experience in AI Engineering - such as Prompt Engineering, Gen AI, Agentic AI, MCP Framework, RAG Architecture or related disciplines.
    • Strong experience developing large-scale data pipelines and distributed data-processing solutions.
    • Experience with Python, SQL, APIs, workflow automation, and cloud-native architectures.
    • Strong communication and stakeholder collaboration skills.

    Additional requirements / Good to have skills:

    Preferred Qualifications

    • LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, or similar frameworks.
    • Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, and Airflow.
    • Experience with vector databases, semantic search, and enterprise RAG platforms.
    • Experience implementing MLOps, LLMOps, AI observability, and evaluation frameworks.
    • Knowledge of Responsible AI, data governance, and model risk management.

    Mode of work:

    Hybrid

    Additional information (if any):

    • Accelerate delivery of AI-enabled business capabilities through reusable orchestration frameworks.
    • Increase adoption of governed enterprise AI services.
    • Improve enterprise data accessibility for AI use cases.
    • Enhance reliability, observability, and auditability of AI systems.
    • Reduce operational complexity through agentic automation and intelligent workflows.

    Keywords: Core Competencies

    • AI Orchestration
    • Agentic AI
    • Enterprise AI Platforms
    • Data Engineering
    • RAG Architecture
    • Vector Databases
    • Prompt Engineering
    • MLOps / LLMOps
    • AI Observability
    • Responsible AI
    • Model Governance
    • Human-in-the-Loop AI Systems
    • Python / SQL development

    Are you the right candidate Yes!

    We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

    Why this role is important to us:

    Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

    We offer a collaborative environment where technology skills and innovation are valued in a global organization. We're looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

    Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

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    About State Street

    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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    Skills

    AutoGenApache SparkApache KafkaCrewaiDeltaapisMLOpsworkflow automationapache airflowSemantic KernelRAG ArchitectureSemantic SearchLLMOpsEthical Aivector databasesicebergCloud-native architecturesModel Risk ManagementAI EngineeringDatabricksData EngineeringPythonSQLData GovernanceSnowflakeLanggraphLangchainAgentic Ai

    About State Street Corporation

    State Street logo

    State Street

    Financial Services

    22k+

    employees

    1792

    234 years old

    Boston,Massachusetts

    United States

    About

    We partner with institutional investors all over the world to provide comprehensive financial services, including investment management, investment research and trading, and investment servicing.

    Industries

    Financial ServicesInternet

    Employee ratings

    4,166 reviews

    3.5/ 5

    Culture

    3.3

    Career growth

    2.7

    Work-life

    3.5

    Employees rate it well for

    Work Life Balance568Senior Management402Salary396Work Culture378Job Security240

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