AI Architect

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.

We are excited to announce an opportunity for an AI Architect to join our organization as part of our AI Enablement Team. In this technical leadership role, you will play a crucial role in Implementing and designing the solutions that enhance our AI capabilities across the organization.  These include industry leading products such as BondGPT and OpsGPT as well as advanced use of AI for productivity across our business functions.  Key functions include back office operations, investor communications and software product development, onboarding and support. 

As the AI Architect, you will be driving innovation and play a crucial role in designing, developing, and deploying machine learning models and applying GenAI technologies in AI solutions across various business functions. The focus of this role includes the entire model development lifecycle, with an emphasis on MLOps practices to ensure robust and scalable solutions. Additionally, expertise in Generative AI, LLMOps, and AI agents is required to drive advanced AI functionalities within our organization. 

Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. If you are experienced AI Engineer and passionate about machine learning, GenAI, and want to contribute to high impact AI projects in Financial Services, we invite you to apply for this position. 

Job responsibilities: 

• ML Pipelines & Experimentation: Support Data scientists and data engineers by ensuring production ready data, model pipelines are deployed to production.  

• Manage the entire model lifecycle using the code frameworks developed by AI Platform team for feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality. 

• Establish and promote best practices in MLOps to streamline model deployment and monitoring across various environments 

• Provide authoritative guidance on state-of-the-art algorithms, repositories, and GenAI techniques like prompt engineering, RAG, AI agents in Generative AI space (LLMs) & share your experience with optimisation techniques such as quantization, pruning, to minimise training & inference requirements for models. 

• Design and implement effective LLM-tooling, finetuning & response evaluation strategies. 

• Guide teams on the latest AI solution development practices and capabilities, and accordingly refine and improve our model development lifecycle and disseminate best practice learnings to colleagues. 

• Help refine and extend our standards and best practices around Machine Learning – training and testing framework, coding standards, engineering practices. 

Qualifications & Skills: 

• Demonstrate a strong understanding of natural language processing methods, including deep learning techniques, knowledge distillation, prompt engineering, and fine-tuning. 

• 5-8 years of Industry experience with minimum 2 years of experience working in AWS & AWS Sagemaker and developing Sagemaker pipelines 

• Knowledge of Jenkins, CloudFormation, terraform code & MLOps practices 

• Exhibit proficiency in Python, software engineering practices, along with expertise in deep learning frameworks (ML/distributed ML frameworks like TensorFlow etc) 

• Possess outstanding communication skills and the ability to collaborate effectively with interdisciplinary teams. 

• Proven experience in the full ML model development lifecycle, including design, deployment, and maintenance. 

• Demonstrated experience with Generative AI technologies and LLMOps practices including in AI Agents and ideally in Agentic frameworks 

• Ability to work collaboratively in a fast-paced, innovative environment. 

• Strong problem-solving skills and a passion for implementing cutting-edge AI solutions. 

• Proficient coding skills and strong software development experience (Spark, Python) 

• Bachelors/Masters or PhD program in Computer Science/Statistics or a related field 

About Us

Broadridge is a global technology leader with trusted expertise and transformative technology, helping our clients and the financial services industry operate, innovate, and grow. We power investing, governance, and communications for our clients – driving operational resilience, elevating business performance, and transforming investor experiences.

Hybrid Flexible at Broadridge  

We are made up of high-performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you’ll be assigned to a Broadridge office and given the flexibility to work remotely.  

#LI-Hybrid  

#LI-LM1 

Broadridge associates helped us envision our Connected Workplace – a work model that allows associates around the globe, dependent upon their role responsibilities, take advantage of the benefits of both on-site and off-site work to support our clients, one another, and the communities where we live and work. Our Connected Workplace is grounded in the concept of FACS: Flexible, Accountable, Connected, and Supported, which is our commitment to our associates. FACS supports our strong culture and allows us to achieve business goals while supporting meaningful work-life integration for our associates.

We are dedicated to fostering a diverse, equitable, and inclusive environment and committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates can only 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 diversity in all its dimensions.