AI Engineer – GenAI, Agentic Systems

State Street

. Develop Agentic AI applications using Python and related programming languages .

Posted 9/15/2026full-timeQuincy • New Jersey • United StatesJuniorMid-Level💰 $70,000 - $118,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing GenAI and Agentic AI applications using Python and cloud technologies, with a strong focus on building scalable solutions and optimizing performance. Proven ability to collaborate in agile environments and mentor team members while adhering to security and development standards.

Highest-signal resume keywords

Python ProgrammingGenAI / Agentic AI Application DevelopmentAWS Services (S3, EC2, Bedrock, Lambda)Databricks ArchitectureCI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI Libraries (LangChain, LangGraph, Pydantic, Strands, CrewAI)Large Language Models (LLMs)Database ArchitectureArtificial IntelligenceAdvanced AnalyticsBig Data

Soft Skills

CollaborationMentoringIndependent Work

Tools & Technologies

DatabricksApache Airflow

Certifications & Qualifications

AWS CertificationDatabricks Certification

Industry Keywords

Financial ServicesComplianceAgile Delivery Methods

Tech Stack

Tools & technologies

AirflowApacheAWSCloudEC2PostgresPython

About the role

Key responsibilities & impact

Develop Agentic AI applications using Python and related programming languages
Design and implement AI and ML-based solutions for complex business problems
Own the full delivery lifecycle from development through production rollout
Collaborate with technical and business teams using agile delivery methods
Follow application development, data engineering, performance, and security standards
Work independently with minimal direction and guide or mentor team members when needed
Research, learn, and apply new tools and techniques
Recommend ideas to improve performance
Evaluate application infrastructure and identify modernization and optimization opportunities
Design and build secure, production-grade GenAI and Agentic AI applications
Develop reusable, efficient, scalable solutions and recommend cost-effective implementation strategies
Build AI pipelines and integrate with Databricks and AWS services including S3, EC2, API Gateway, Bedrock, and Lambda
Work effectively under tight timelines

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or equivalent education and work experience
Approximately 3+ years of overall experience
2+ years of experience as a GenAI / Agentic AI Engineer using cloud technologies
Strong hands-on experience in large-scale, multi-tenant application development
Strong expertise in Python programming
Hands-on experience with GenAI and Agentic AI libraries such as LangChain, LangGraph, Pydantic, Strands, and CrewAI
Familiarity with Databricks architecture and core concepts
Familiarity with AWS services such as Bedrock, EC2, and PostgreSQL-based platforms
Proven experience building GenAI and Agentic AI applications using large language models (LLMs)
Solid understanding of RAG, vector databases, model selection, model evaluation, and guardrails
Good understanding of GenAI / Agentic AI architecture and best practices
Hands-on experience with database architecture, artificial intelligence, advanced analytics, and big data
Ability to work effectively in a multi-location agile environment
AWS and/or Databricks certifications are a plus
Experience with Databricks and Apache Airflow is a nice-to-have
Knowledge of machine learning concepts and frameworks is a nice-to-have
Strong understanding of CI/CD pipelines for cloud-based deployments is a nice-to-have
Experience in the financial services and compliance domain is a nice-to-have

Benefits

Comp & perks

Retirement savings plan (401K) with company match
Basic life insurance
Medical insurance
Dental insurance
Vision insurance
Long-term disability insurance
Optional additional insurance coverages
Paid vacation leave
Paid sick leave
Short-term disability
Family care responsibilities leave
Employee Assistance Program
Incentive compensation, including eligibility for annual performance-based awards
Certain tax advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Employee networks