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Added 6 mins ago
Sr. Director, AI Software Engineering & Integrations
Breakthru Beverage Group
Cicero, IL
…modern, cloud-native ecosystem powered by SAP S/4HANA, Snowflake, AWS, and next-generation AI…
Added 7 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Springfield, IL
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 7 mins ago
Senior Graph Developer - Application Development
United Airlines
Chicago, IL
We are seeking an experienced and passionate Senior Knowledge Graph Developer to design, build, and scale our enterprise knowledge graph initiatives. In this role, you will be the technical…
Added 7 mins ago
Senior Manager, Data Engineering, Applied AI Data Ingestion & Integration (DII)
BMO Financial Group
Chicago, IL
…stakeholders to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes, and to develop partnerships with third-party providers…
Added 7 mins ago
Agentic AI Engineer, Senior
Deloitte
Chicago, IL
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines…
Added 7 mins ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Chicago, IL
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers…
Added 7 mins ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Chicago, IL
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers…
Added 7 mins ago
A
Trading, Investment & Optimization - QuantAI Full Stack Manager (Hybrid)
Accenture
Chicago, IL
- $87,400 to $253,000 USD / year
QuantAI sits between quantitative research, agentic engineering, product delivery, and client-facing transformation inside Accenture's Industry and Enterprise Reinvention aimed at servicing…
Added 7 mins ago
Lead Integration Engineer II
Deloitte
Chicago, IL
AI & Agentic Integration: Utilize AI features (e.g., Boomi GPT, MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues.
Added 8 mins ago
Principal Applied AI Solutions Architect, Amazon Connect
Amazon
Chicago, IL
Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data…
Added 8 mins ago
Contact Center Forward Deployed Engineer – AI
IBM
Chicago, IL
Build and Deploy AI Solutions: Develop end-to-end GenAI, RAG, and agentic AI applications using tools such as LangGraph, CrewAI, and hyperscaler cloud AI platforms (e.g., AWS, Google,…
Added 8 mins ago
Forward Deployed Engineer – AI
IBM
Chicago, IL
Build and Deploy AI Solutions: Develop end-to-end GenAI, RAG, and agentic AI applications using tools such as LangGraph, CrewAI, and hyperscaler cloud AI platforms (e.g., AWS, Google,…
Added 8 mins ago
Forward Deployed Engineer – AI
IBM
Chicago, IL
Build and Deploy AI Solutions: Develop end-to-end GenAI, RAG, and agentic AI applications using tools such as LangGraph, CrewAI, and hyperscaler cloud AI platforms (e.g., AWS, Google,…
Added 8 mins ago
Senior Forward Deployed Engineer – AI
IBM
Chicago, IL
Build and Deploy AI Solutions: Develop end-to-end GenAI, RAG, and agentic AI applications using tools such as LangGraph, CrewAI, and hyperscaler cloud AI platforms (e.g., AWS, Google,…
Added 8 mins ago
IG
Lead Python Engineer
Insight Global
Remote, United States
- From $74 USD / hour
The ideal candidate has deep Python expertise and hands-on experience with LangGraph/LangChain, MCP servers, AWS, PostgreSQL, and agentic architectures. This person should be comfortable…
Added 41 mins ago
Technical Architect 4C
Genpact LLC
United States
…Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex…
Added 41 mins ago
Technical Architect 4C
Genpact LLC
United States
…Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex…
Added 54 mins ago
Manager, Harness Engineer
KPMG LLP
ALBANY, NY
…production software, with deep expertise in modern languages (Python, Go, Rust, or Java) and cloud platforms (Azure, AWS, or Google Cloud (GCP)) * Bachelor's degree from an accredited…
Added 55 mins ago
AE
Staff AI Engineer - Personalization, Brand, Communications Tech
American Express
New York, NY
- $144,250 to $256,250 USD / year
…are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the…
Added 55 mins ago
AI Engineer 4 (MLX)
Capital One
New York, NY
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 56 mins ago
C
Lead Java Full Stack Developer
Cognizant
New York, NY
- $75,000 to $123,500 USD / year
As a Lead Java Full Stack Developer, you will make an impact by designing, building, and scaling API-first, cloud-native applications and integrations using modern Java, AWS, React, and…
Added 56 mins ago
Product Architect – Senior Manager
PwC
New York, NY
At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Added 56 mins ago
Forward Deployed Engineer – AI
IBM
New York, NY
Build and Deploy AI Solutions: Develop end-to-end GenAI, RAG, and agentic AI applications using tools such as LangGraph, CrewAI, and hyperscaler cloud AI platforms (e.g., AWS, Google,…
Added 1 hour ago
A/AI Machine Learning Engineering - E2
Lockheed Martin
Littleton, CO
The successful candidate will have advanced Software Development experience with knowledge of: Agentic AI and LLM technologies, AI/ML, Deep Learning, or Computer Vision, modern software…
Added 2 hours ago
Senior Software Engineer/Tech Lead
Lilly
Indianapolis, IN
…design, code, and deliver critical components (primarily in Python) while overseeing development teams through design reviews, technical guidance, and quality gates to ensure solutions are…

SSB&T

Senior AI Security Automation Engineer

Quincy, MA, United States
Princeton, NJ, United States
Boston, MA, United States
Clifton, NJ, United States
Austin, TX, United States

$120,000 to $202,500 USD / year

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Job details

Pay: $120,000 to $202,500 USD / year
Apply by: Dec 31, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

Who we are looking for

State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Senior AI Security Automation Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered platforms. Partnering closely with Global Cyber Security teams, Infrastructure Teams, and Enterprise Continuity Services, this team develops advanced data platforms, intelligent automation solutions, and engineering capabilities that enable cybersecurity teams to make faster, AI-driven decisions and strengthen the firm's ability to detect, prevent, and respond to evolving cyber threats.

Why this role is important to us

Through innovation in AI, analytics, and automation, CyberDNA team plays a critical role in protecting State Street, its clients, and its partners from increasingly sophisticated global threat actors. This role sits at the intersection of Artificial Intelligence, Cybersecurity, Data Engineering, and Full-Stack Software Development, with a primary focus on enabling secure, scalable, and governed AI adoption across the enterprise for supporting Cyber Security functions. The successful candidate will be part of a global AI security automation engineering team focused on delivering next-generation AI platforms, autonomous agents, security automation solutions, and data-driven applications that strengthen cyber resilience, accelerate innovation, and transform cybersecurity operations through intelligent automation.

What you will be responsible for

As Senior AI Security Automation Engineer, you will

Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores
Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes
Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior
Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle
Mentor junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

What we value These skills will help you succeed in this role

Demonstrated experience architecting, developing, and deploying production-grade Generative AI and Large Language Model (LLM) based solutions, including agentic workflows, intelligent agents, and enterprise tool integration frameworks.
Strong software engineering fundamentals with expertise in designing and delivering cloud-native applications and services leveraging containers, serverless architectures, and modern public cloud platforms.
Proven experience building highly scalable distributed systems utilizing asynchronous processing, event-driven architectures, durable messaging, and high-performance data access patterns.
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt lifecycle management.
Experience implementing AI evaluation, testing, monitoring, and observability frameworks to measure model quality, reliability, performance, and safe operation in production environments.
Strong API design and integration experience, including the development of secure, reusable, and scalable platform services that enable enterprise-wide adoption of AI capabilities.
Demonstrated technical leadership skills with a track record of mentoring engineers, driving architectural decisions, influencing technology strategy, and collaborating effectively with cross-functional stakeholders.
Hands-on experience utilizing enterprise-approved AI-assisted software development tools to accelerate application delivery, improve code quality, streamline testing, and enhance documentation, while ensuring outputs are validated through secure coding practices, peer review, and automated testing.
Strong understanding of responsible AI principles, including data privacy, security, governance, resiliency, and risk management, with the ability to guide teams in the safe and effective use of AI technologies.
Deep understanding of cybersecurity data sources, including endpoint, network, application, cloud, and system telemetry, and their application in security monitoring, analytics, and automation.
Experience working with Security Information and Event Management (SIEM) platforms and cybersecurity analytics solutions to ingest, correlate, retrieve, and analyze large-scale security data.
Strong understanding of cybersecurity operations, including threat detection, incident response, threat hunting, security analytics, and security automation.
Proven ability to lead and influence geographically distributed teams through virtual collaboration, fostering strong partnerships, driving technical outcomes, and building effective relationships across engineering, security, and business organizations.
Deep understanding of CI/CD tools (Jenkins, Harness, Spinnaker, Argo CD, etc.) and methodology, production experience in designing and implementing CI/CD pipelines with a focus on helping teams release frequently to production while maintaining deployment reliability
Strong software development and automation skills with demonstrated experience in Python, JavaScript/TypeScript, Rust, Go (Golang), Bash, and PowerShell.
Proven ability to lead complex technical initiatives while remaining deeply hands-on.
Experience developing cybersecurity, analytics, or operational intelligence solutions.
Proven ability to lead complex technical initiatives while remaining deeply hands-on.
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.

Education & Preferred Qualifications

Master’s or bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline.
7+ years of professional software engineering experience.
3+ years of experience developing AI, Machine Learning, or Generative AI solutions.
Demonstrated success designing and deploying enterprise-scale applications and platforms.
Experience developing cybersecurity, analytics, or operational intelligence solutions.

Work Requirement

Work shift is 8 AM – 5 PM local time with occasional Level 2-3 escalation resolution to support operational incidents
This hybrid role includes an in-office presence requirement of 2–4 days per week, consistent with the organization's hybrid work policy.

Salary Range:

$120,000 - $202,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

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

Read our CEO Statement

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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More about this job

Skills

Software development
API development
Leadership
Coaching
Cybersecurity
Event planning
Incident response
Collaboration
CI/CD
Jenkins
Python
JavaScript
TypeScript
Rust
Go
Bash
Microsoft PowerShell
LangChain
Databricks
Snowflake
Apache Spark
Apache Kafka
Apache Airflow
Risk management
Computer science
Artificial intelligence
Machine learning

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