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aimlroles

Agentic AI Engineer , AVP

Statestreet statestreet.com Open · verified Nov 1, 2026
Bangalore Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Statestreet. Bangalore · full-time.

Pay not stated AI Engineering salary

RoleAI Engineering
SeniorityMid-level
LocationBangalore
EmploymentFull-time
PostedOct 28, 2026 · 4d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Architect and improve multi-agent workflows, choosing consistent patterns across the named agent frameworks
  • Establish runtime, SRE/DevOps and reliability practices for agent systems deployed across AWS, Google Cloud and Azure
  • Set rules for A2A communication and isolate connector sandboxes across pods
  • Work with architects and product owners to turn platform plans into runtime features for multi-cloud deployments
  • Hire and mentor technical staff, direct incident reviews, and oversee system documentation, compliance and performance checks

What you bring

  • A bachelor's or master's degree in computer science, engineering or a related area
  • Eight to fourteen years in software engineering, centered on agentic AI, distributed systems or orchestration platforms
  • Proficiency in Python and familiarity with at least one other modern programming language
  • Experience building agentic or event-driven systems on cloud platforms, plus expertise in A2A protocols and cloud-native DevOps

Who this fits

This AVP role suits a senior technical leader who can set engineering standards, mentor staff and lead incident response. The role is based in Bangalore, India.

From the employer

AVP – Agentic AI Engineer

About the Role

We are seeking experienced and strategic professionals to join our GenAI Center of 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 like LangChain, Langraph, and GoogleADK to 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, optimizing for 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 or Master’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 one additional modern 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).

  • Deep expertise in A2A protocols, runtime environments, and cloud-native DevOps practices.

  • Experience establishing technical standards, overseeing compliance, and driving adoption of emerging technologies.

  • Proven track record in technical mentorship, incident response leadership, and cross-functional collaboration.

  • Familiarity with enterprise security, IAM/RBAC, and sandboxing in cloud environments.


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.


Discover more information on jobs at StateStreet.com/careers


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Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

AI Engineering

Find me work

By the team behind aimlroles.

Find me work
Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.