Senior Agentic AI Engineer

Bot Jobs; Myrtle Point (OR); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive benefits

Hybrid work options

Professional development support

Job summary

State Street is seeking an experienced AI software engineer to design, build, and operate production-grade agentic AI applications. You will develop intelligent agents using LLMs, orchestrate workflows, and create reusable engineering accelerators.

You will implement retrieval-augmented generation, embeddings, vector search, and tool calling, while collaborating with product owners, architects, and governance teams to translate requirements into practical solutions.

Qualifications

• Bachelor's or Master's in CS/AI/ML/Software Eng.
• 5+ years of experience in software/AI/ML/data eng roles.
• Strong Python and modern software development practices.
• Hands-on GenAI or agentic AI experience with listed tools.
• Experience with foundation models (GPT, Gemini, Claude, Llama).
• Experience with RAG, embeddings, vector search, and tool workflows.
• Experience building APIs, microservices, and cloud-native apps.
• Cloud deployments on AWS, GCP, or Azure.
• Familiarity with Kubernetes, containers, CI/CD, observability.
• Knowledge of data engineering, Lakehouse, metadata, governance.
• Financial services or enterprise platform experience preferred but not required.

Responsibilities

• Design, build, test, deploy, and support production-grade agentic AI apps.
• Develop intelligent agents using LLMs and tool calling.
• Build and optimize RAG pipelines with embeddings and vector databases.
• Integrate agents with enterprise APIs, databases, data platforms.
• Develop reusable services, templates, and accelerators.
• Implement prompt and agent evaluation, guardrails, monitoring, reliability controls.
• Contribute to CI/CD, automated testing, AgentOps, LLMOps, security scanning.
• Integrate agentic capabilities with cloud, Lakehouse, and data services.
• Collaborate with product owners, architects, governance, and security teams.
• Participate in design/review, document decisions, and contribute to standards.
• Mentor junior engineers and share engineering practices across the team.

Skills

Strong Python

System design

Problem solving

Communication

Ownership

Education

Bachelor's or Master's in CS/AI/ML/Software Eng

5+ years experience in software/AI/ML/data eng

Tools

LangGraph

AutoGen

CrewAI

Semantic Kernel

Google ADK

Kubernetes

Job description

What you will be responsible for

• Design, build, test, deploy, and support production-grade agentic AI applications and services.
• Develop intelligent agents using large language models, agent frameworks, orchestration workflows, memory, tool calling, and human-in-the-loop patterns.
• Build and optimize retrieval-augmented generation pipelines using embeddings, vector databases, semantic and hybrid search, metadata, and enterprise content sources.
• Integrate agents with enterprise APIs, databases, data platforms, workflow tools, and business applications.
• Develop reusable services, libraries, templates, and engineering accelerators that improve the speed and consistency of AI solution delivery.
• Implement prompt and agent evaluation, guardrails, monitoring, observability, tracing, reliability controls, and cost-management practices.
• Contribute to CI/CD, automated testing, AgentOps, LLMOps, security scanning, and production-readiness activities.
• Work with platform and data engineering teams to integrate agentic AI capabilities with cloud, Lakehouse, knowledge, and data services.
• Collaborate with product owners, business users, architects, governance teams, and security partners to translate requirements into practical solutions.
• Participate in design and code reviews, document technical decisions, and contribute to platform standards and reference implementations.
• Mentor less-experienced engineers and share engineering practices across the team.

What we value

• Strong hands-on software engineering and problem-solving skills.
• Ability to translate business workflows into clear technical designs and working software.
• Curiosity and willingness to learn emerging AI technologies while applying disciplined engineering practices.
• Clear communication and the ability to collaborate effectively with technical and non-technical stakeholders.
• A strong sense of ownership, attention to quality, and willingness to support solutions through production operations.

Education & Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Engineering, or a related discipline.
• 5+ years of experience in software engineering, AI engineering, machine learning engineering, data engineering, or a related role.
• Strong proficiency in Python and modern software development, testing, version-control, and code-review practices.
• Hands-on experience building GenAI or agentic AI solutions using LangGraph, AutoGen, CrewAI, Semantic Kernel, Google ADK, or comparable technologies.
• Experience with foundation models such as GPT, Gemini, Claude, Llama, or comparable models.
• Experience implementing RAG, embeddings, vector search, prompt engineering, structured outputs, tool calling, memory, and agent workflows.
• Experience developing APIs, microservices, event-driven services, and cloud-native applications.
• Experience deploying solutions on AWS, Google Cloud Platform, and/or Microsoft Azure.
• Familiarity with Kubernetes, containers, CI/CD, observability, and infrastructure automation.
• Understanding of data engineering, distributed processing, Lakehouse technologies, metadata, data governance, and knowledge management.
• Financial services, investment management, or enterprise platform experience is preferred but not required.

Additional Requirements

• Experience using AI-assisted development tools such as GitHub Copilot, Gemini Code Assist, Claude Code, Cursor, or comparable tools while maintaining code quality, security, and governance standards.
• Ability to work independently, manage assigned deliverables, and meet deadlines in a cross-functional team environment.
• Knowledge of Responsible AI, security controls, model evaluation, and production support practices.
• Relevant cloud, AI, data, or software engineering certifications are a plus but not required.

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