Vp, Engineering - Genai Technology

Job Description:The Role Position Summary: Position Summary:

We are seeking an experienced and visionary Lead, GenAI Research & Engineering to guide and manage our GenAI initiatives within the Financial Services domain.
This leader will be responsible for driving cutting-edge research and engineering in the field of Generative AI, building products that leverage AI to improve financial services offerings, and ensuring the successful delivery of impactful solutions.
In this role, you will lead a dynamic team of data scientists, engineers, and AI researchers, mentor associates, manage projects, and stay ahead of emerging trends within the industry.
The ideal candidate will combine technical proficiency with strong leadership skills and the ability to innovate within a rapidly evolving landscape.The role will be available in: Boston, MAKey Responsibilities: Research & Innovation:
Lead research initiatives to explore and develop advanced Generative AI solutions tailored to financial services.
Identify new opportunities for applying GenAI to enhance business processes, improve customer experiences, and deliver high-value products.Product Development:
Oversee the end-to-end development of GenAI products and solutions.
Ensure that products are built using Python, SQL, and other relevant technologies, while maintaining high standards of code quality, scalability, and performance.Team Leadership & Mentorship:
Manage and mentor a team of GenAI researchers and engineers.
Foster a collaborative, innovative, and high-performance culture.
Provide guidance and career development for associates and junior engineers.Project Management:
Lead cross-functional teams to define, scope, and deliver GenAI projects on time and within budget.
Use Agile methodologies to manage project timelines and ensure effective coordination across stakeholders.Collaboration with Business Teams:
Work closely with business units, including product managers, data analysts, and other teams within the organization, to understand business needs and translate them into GenAI-driven solutions.Industry Trends & Continuous Learning:
Keep up to date with the latest advancements in GenAI and related fields.
Attend conferences, engage with the AI research community, and implement emerging techniques and technologies into your team's work.Quality Assurance & Risk Management:
Ensure that the GenAI models and systems comply with relevant regulations, security standards, and best practices.
Actively identify risks and work to mitigate them during product development and deployment.Stakeholder Communication:
Regularly communicate project progress, risks, and key achievements to senior leadership and other stakeholders.
Provide clear and actionable insights into AI research and engineering efforts.Preferred Qualifications: Education: A degree in Computer Science, Engineering, Mathematics, or a related field (Master's or PhD preferred).Experience: 15+ years of experience in AI/ML development, with a proven track record of leading GenAI research, engineering teams, and managing AI product development in a large-scale organization, preferably within financial services.Strong hands-on experience with Generative AI models, machine learning frameworks (e.g., TensorFlow, PyTorch), and programming languages such as Python and SQL.Demonstrated experience in leading cross-functional teams, with the ability to translate business goals into actionable AI solutions.Proven ability to manage and mentor junior and senior technical associates.Experience working with large datasets, cloud technologies, and version control systems like Git.Excellent project management experience, preferably with Agile methodologies (Scrum, Kanban).Skills & Competencies:
Deep understanding of Generative AI techniques and applications (e.g., GANs, transformers, NLP models).
Strong communication skills with the ability to effectively collaborate with technical and non-technical stakeholders.
Ability to innovate and stay ahead of emerging industry trends and technologies.
A keen interest in the financial services industry and an understanding of the unique challenges and opportunities in applying AI to finance.
High analytical thinking and problem-solving ability.The Team: The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group.
We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and generative AI.
We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes.
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