AI Software Engineer
AI in this role
In Global Delivery AI team, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.
Responsibilities:
Build end-to-end Agentic AI solutions - develop, refine, and implement advanced AI models and ensure the success delivery of Falcon project - https://statestreet.sharepoint.com/sites/falcon
Work on the integration of LLMs and LangChain into business process.
Utilize Python and other data manipulation languages to prepare and manipulate data.
Understand the business requirements and translate into Agentic AI solution design that successfully meets the business objectives.
Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
Stay current with technical and industry developments and standards to ensure effective and advance applications of data analysis techniques and methodologies, and of knowledge graph techniques and methodologies.
Qualifications:
Bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or related field, with a minimum of 3 years of experience.
Proven experience in end-to-end project delivery, preferably using agile or hybrid methodologies.
Strong proficiency in Python, JavaScript, or Java, with a focus on leveraging Code Copilot to accelerate development, enhance code quality, and boost productivity.
Knowledge or experience in designing and developing agentic systems, including LLM fine-tuning, context engineering, knowledge graph construction, and building highly scalable and resilient services etc.
Familiarity with cloud platforms (AWS, Azure).
Experience with structured and unstructured data systems such as AWS S3, Snowflake, Databricks.
Strong problem-solving and strategic thinking skills; highly self-motivated with a growth mindset.
Experience in any of the following is highly desirable:
Document Intelligence working experience
Proven software engineering experience in building cloud-native applications.
Proven hands-on experience of Agentic AI / Generative AI solution design and implementation.
Full-stack experiences are preferred.
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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How we rate this
AI Software Engineer at State Street rates 5 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through how you've used Copilot in your day-to-day work.
- What are the limits of LangChain that you've run into, and how did you work around them?
- What's a project where you used Databricks hands-on?
Adapt your resume
- List these exact terms on your resume: Fine Tuning, Copilot, LangChain, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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