AI and Automation Engineer

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

This role requires strong Python and JavaScript capability, practical frontend development experience, database fluency, and working knowledge of AI/LLM integration patterns. The successful candidate will be expected to contribute to production-grade tools, automate manual workflows, integrate APIs and databases, build structured reports, and support secure, maintainable delivery practices.

The position is designed for an engineer who can operate across backend, frontend, middleware, automation, analytics, and AI-assisted engineering use cases. The individual should be comfortable collaborating with business, technology, and operations stakeholders while delivering reliable solutions in a fast-paced environment.

Key Responsibilities

1. Build AI-Enabled Automation Solutions

• Design, develop, and maintain automation solutions using Python, Django, JavaScript, TypeScript, and supporting frameworks.
• Integrate LLM APIs for chat completions, function calling, prompt-driven workflows, retrieval-augmented generation basics, and streaming user experiences.
• Develop reusable automation components for data extraction, document processing, reporting, workflow orchestration, and API integrations.
• Apply practical engineering judgement to balance speed, maintainability, security, and production reliability.

2. Deliver Full-Stack Web Application Enhancements

• Develop Django views, URL routing, models, migrations, templates, middleware, sessions, and multi-database configurations.
• Build and maintain frontend interactions using jQuery, vanilla JavaScript, AJAX, DOM manipulation, event handling, Promises, fetch, Bootstrap components, and JSON APIs.
• Contribute to TypeScript-based extensions and agent-facing components, including typed interfaces, basic generics, and type-error resolution.
• Debug issues using browser DevTools, application logs, database checks, and container-level diagnostics.

3. Engineer Data, Reporting, and Document Workflows

• Write and optimize MySQL and PostgreSQL queries, migrations, indexes, and data access patterns for application and reporting use cases.
• Create PowerBI dashboards and reports by connecting to MySQL/PostgreSQL sources, building visuals, creating basic DAX measures, publishing to workspaces, and supporting refresh schedules.

4. Support Browser and Desktop Automation

• Develop Selenium and Playwright automation for web-based automations.
• Design automation flows that are resilient to application changes, timing issues, authentication patterns, and operational failures.
• Document automation behavior, assumptions, error handling, and support procedures for long-term maintainability.

5. Apply Secure Engineering and Integration Practices

• Consume REST APIs using requests, JSON handling, and defensible error handling.
• Apply secure development practices related to SSO flows, session-based authentication, CSRF protection, and credential storage.
• Use Git effectively for feature branching, pull requests, merge conflict resolution, interactive rebasing, stashing, tagging, and code reviews.
• Build and debug Dockerfiles and docker-compose configurations for local development, environment variables, volume mounts, image builds, and container troubleshooting.

6. Collaborate Across Product, Engineering, and Operations

• Work with business users and technical stakeholders to translate manual or semi-manual processes into automation-ready requirements.
• Communicate technical trade-offs clearly and provide practical recommendations for implementation, support, and improvement.
• Participate in peer reviews, testing, release readiness checks, and production support activities.

Required Experience

• Approximately 5 years of relevant experience in software engineering, automation engineering, AI-enabled application development, data workflow automation, or related technology delivery roles.
• Strong hands-on Python experience, including building maintainable scripts, backend services, automation workflows, data processing utilities, API integrations, and reusable tooling with a focus on clean, scalable, and production-ready code.
• Solid Django experience across views, URL routing, models, migrations, templates, middleware, session handling, and multi-database configurations.
• Strong JavaScript experience using jQuery and vanilla JavaScript for AJAX, DOM manipulation, event handling, async patterns, Bootstrap components, DevTools debugging, and JSON API integration.
• Working knowledge of TypeScript, including reading and writing typed code, interfaces, basic generics, and understanding type errors.
• Practical exposure to LLM API integration, prompt design, function calling, RAG basics, token-limit considerations, and SSE streaming.
• Strong MySQL and PostgreSQL experience including queries, migrations, indexes, and basic performance tuning.
• Experience with Git, Docker, REST APIs, frontend components, browser automation, document processing, and Windows automation libraries.

Preferred Qualifications

• Experience building internal productivity tools, workflow automation platforms, AI assistants, agents, or reporting automation solutions.
• Experience contributing to PI agent extensions or similar AI/automation extension frameworks.
• Exposure to enterprise SSO, secure credential management, and production support practices.
• Experience publishing PowerBI reports to shared workspaces and supporting refresh schedules.
• Experience working in financial services, fintech, enterprise technology, or other regulated environments.
• Demonstrated ability to convert ambiguous business problems into practical engineering solutions.

Required Technical and Functional Skills

• Core skill expectations by category:

Category

Requirements

Python

Strong. OOP, exception handling, concurrent.futures, pathlib, decorators, generators.

Django

Solid. Views, URL routing, models/migrations, templates, middleware, multi-database configs, session handling.

JavaScript

Strong. jQuery plus vanilla JS for AJAX, DOM manipulation, event handling, async patterns including Promises and fetch, Bootstrap JS components, debugging in DevTools, and working with JSON APIs from the frontend.

TypeScript

Working knowledge. Reading and writing typed code, interfaces, basic generics, contributing to PI agent extensions, and understanding type errors.

AI/LLM

LLM API integration including chat completions and function calling, prompt design, RAG basics, understanding token limits, and SSE streaming.

Databases

MySQL strong; PostgreSQL for writing queries, migrations, indexes, and basic performance tuning; pandas to DB workflows; SQLAlchemy.

Git

Proficient. Feature branching, pull requests, resolving merge conflicts, interactive rebase, stashing, tagging releases, writing good commit messages, and code review via Git platforms.

Docker

Writing Dockerfiles, docker-compose for local development, building and pushing images, debugging container issues, environment variable management, and volume mounts for development.

PowerBI

Building reports and dashboards, connecting to MySQL/PostgreSQL data sources, basic DAX measures, creating visuals, publishing to workspace, and understanding data refresh schedules.

Frontend

Bootstrap 5, Select2, DataTables, responsive design, and basic CSS customization.

Selenium

Headless browser automation, WebDriverWait, element selection, and download handling.

Security

Understanding of SSO flows, session-based authentication, CSRF protection, and credential storage.

Document Processing

python-docx, openpyxl, PyMuPDF, and building structured reports.

APIs

RESTful consumption using requests, JSON handling, auth headers, and retry logic.

Windows

Comfortable with pywin32, Windows Credential Manager, and task scheduling in Windows.

Leadership Competencies

• Strong ownership and accountability for technical deliverables.
• Ability to work independently while collaborating effectively across teams.
• Practical problem-solving mindset with attention to reliability, usability, and maintainability.
• Clear written and verbal communication with both technical and non-technical stakeholders.
• Ability to promote reusable engineering practices.
• Sound judgement in handling production issues, sensitive data, credentials, and automation risks.
• Continuous learning mindset across AI, automation, backend engineering, frontend tooling, and enterprise platforms.
• Ability to operate effectively in a fast-paced and evolving environment.

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone’s unique perspective.

Use of AI in Hiring

As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.