Managing Director, AI Engineer

If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster’s values, these set us apart as a bank and as an employer.

Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!

AI/ML Engineer develops and trains artificial intelligence applications to provide enterprise-wide AI capabilities including process automation business lines. The Engineer is responsible for designing and programming artificial intelligence systems, testing the machine learning systems they develop and resolving issues with the algorithms and data to ensure the system satisfies business requirements. The AI/ML Engineer will provide the necessary leadership, analysis, design and development tasks related to the successful build of the application.

Please list key responsibilities for the role:

• Envision, design, develop and assist with operationalizing end-to-end machine learning (ML) and AI pipeline.
• As part of the development team, assist with the build of a robust application framework and collaborate with data scientists, data engineers, developers, operations and security teams.
• Provide solutions and architecture for key business initiatives and own a portfolio of applications that span across consumer and commercial banking domains.
• Understand and suggest ways to improve efficiencies in the workflow and pipeline architectures of ML and deep learning workloads.
• Discuss the feasibility of AI use cases along with architectural design with stakeholders and translate vision into realistic technical implementation.
• Work closely with security and risk teams to foresee and mitigate risks, such as training data poisoning, AI model drift etc, ensuring ethical AI implementation and improving trust in AI.
• Be change agents to help the organization adopt an AI-driven mindset.
• Stay abreast of upcoming regulations and ensure the enterprise is building solutions with appropriate guardrails to comply with ethical standards and industry regulations
• To ensure that AI platforms deliver on both business and technical requirements, seek to collaborate effectively with data scientists, data engineers, data analysts.
• Continuously evaluate new tools, technologies, and methodologies to advance innovation while ensuring scalability and security.
• Mentor junior staff members and provide guidance to cross-functional teams, fostering a culture of learning, innovation, and inclusivity.
• Work closely with the risk and compliance teams to assess the risks associated with solution implementations and develop appropriate mitigation strategies.
• Develop and implement machine learning algorithms to enhance AI capabilities.
• Collaborate with data scientists and engineers to optimize AI models and improve performance.
• Design and integrate natural language processing systems for AI-powered applications.
• Research and implement cutting-edge AI technologies and frameworks.
• Create and maintain documentation for AI model development and deployment processes.
• Test and validate AI models to ensure accuracy and reliability in real-world scenarios.

Experience Needed

• Required: Bachelor’s degree in computer science, Information Technology, or engineering.
• Preferred: A master’s degree
• Required: 8+ years of experience in application design. Development and implementation, with a strong background in banking services.
• 4+ years working with AI/ML-driven solutions for financial services
• 5+ years’ experience in programming languages such as Python, Java, and/or C++.
• Knowledge of Data science and advanced analytics, including hands on experience of advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).
• Familiarity with Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
• Hands on experience with Infrastructure as Code
• Experience working with AWS Bedrock, Sagemaker or other similar platforms
• Preferred: Certification in AI/GenAI, ML, Cloud Infrastructure, or related technologies
• Experience in a banking/financial services environment is essential.
• Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning.
• Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud.
• Experience in working with large datasets and data preprocessing techniques.
• Familiarity with agile development methodologies and version control systems.
• Strong problem-solving and analytical skills with a focus on continuous improvement.
• Excellent communication and collaboration skills to work effectively in a multidisciplinary team environment.
• Explaining the usefulness of the Gen AI models to a wide range of individuals within the organization, including collaborators and product managers.
• Automating important infrastructure for the data science team
• Transforming the machine learning models into APIs to interact with other applications
• Exceptional problem-solving, analytical, and communication skills with the ability to engage and advise both non-technical and technical stakeholders.
• A proactive approach to leadership, with an emphasis on collaboration, empathy, customer centricity, and inclusiveness. Ability to work with offshore teams and guide the members as needed
• Proficiency in evaluating and recommending emerging technologies and best practices.
• Excellent organizational, time management, and project management skills.
• Strong interpersonal and presentation skills; able to communicate complex concepts effectively.

The estimated salary range for this position is $200,000.00 to $225,000.00. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.