Global Technology Operations
Financial Services
AIProductAnalyst
Neural analysis suggests this role is
optimal for Entry candidates.
“AI Product Analyst at Global Technology Operations. Skills: AI Product Analysis, GenAI Development, Software Development. Design AI-powered applications. Build AI-powered applications”
What You'll Achieve.
Improve system reliability; Reduce manual effort; Enhance user experience
Industry & Context.
Problem-solving skills
On-call rotation
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, Hands-on experience in software development, Proficiency in Python, Experience building APIs or backend services, Working knowledge of JavaScript or willingness to learn, Basic understanding of REST APIs, Basic understanding of system integration concepts, Interest in AI/ML, Interest in emerging technologies
Nice to Have
Experience with cloud platforms, Exposure to LLMs, Exposure to prompt engineering, Exposure to retrieval-based AI concepts (RAG), Familiarity with Docker, Familiarity with CI/CD pipelines, Familiarity with infrastructure-as-code tools, Knowledge of enterprise tools, Knowledge of ServiceNow, Knowledge of observability platforms
What You'll Do.
Design AI-powered applications
Build AI-powered applications
Test AI-powered applications
Deploy AI-powered applications
Develop backend services
Build user interfaces
Integrate applications with enterprise platforms
Integrate applications with observability tools
Build AI-driven solutions
Support development of AI workflows
Automate operational processes
Access enterprise data
Participate in agile development
Participate in sprint planning
Participate in iterative delivery
Write maintainable code
Write well-documented code
Contribute to testing
Contribute to debugging
Contribute to performance improvement
Collaborate with cross-functional teams
Support application releases
Support system performance
Participate in on-call rotation
How You'll Work.
Team & Collaboration
Cross-functional teams; Agile development; Iterative delivery
Communication Scope
Communicate effectively
Process & Methodology
Agile development, Sprint planning, Iterative delivery
Full Job Description
We’re looking for an early-career AI Product Analyst to join our Global Technology Operations team and help build next-generation GenAI solutions that power IT operations at scale. In this role, you’ll work alongside experienced engineers and product teams to design, build, and deploy AI-driven applications that improve system reliability, reduce manual effort, and enhance the user experience across global platforms. This is an exciting opportunity for recent graduates or early-career professionals who are passionate about AI and want to apply their skills in a real-world enterprise environment—while continuing to learn, grow, and develop new capabilities. We offer a collaborative and supportive team environment that values curiosity, experimentation, and continuous learning. **Position Responsibilities:** * Design, build, test, and deploy AI-powered applications across backend and frontend systems * Develop backend services and APIs using Python (e.g., FastAPI) * Build intuitive user interfaces using modern JavaScript frameworks (e.g., React) * Integrate applications with enterprise platforms such as ServiceNow and observability tools **AI & GenAI Development** * Build AI-driven solutions using LLM APIs (e.g., OpenAI, Azure OpenAI) * Support the development of AI workflows that help automate operational processes * Work with data teams to access and use enterprise data effectively **Collaboration & Engineering Practices** * Participate in agile development, including sprint planning and iterative delivery * Write clean, maintainable, and well-documented code * Contribute to testing, debugging, and performance improvement * Collaborate with cross-functional teams across regions and time zones **Operations & Support** * Support application releases and ongoing system performance * Participate in a structured on-call rotation with team support **Required Qualifications:** * Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field * Hands-on
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