Principal AI Engineer/Senior Vice President

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Job Overview

The Principal AI Engineer / SVP is a senior leader responsible for defining and driving the overall  GenAI Strategy for the Unit. The overall objective of this role is to act as the unit's foremost technical authority on AI, leading the charge on innovation, setting long-term solution design and architectural vision, and working with technology in ensuring the delivery of robust, scalable, and transformative AI platforms. This role will own and drive the business problem framing and product strategy, the model development, testing and governance framework and the post production monitoring and eval. This role will also play a significant role in driving MRM, legal and compliance requirements for GenAI projects.

Responsibilities:

• Define and own the long-term vision and strategy for Generative AI and Agentic systems across the business unit, ensuring alignment with business goals and future growth.
• Lead the research, design, and prototyping of next-generation AI platforms and "first-of-a-kind" capabilities, establishing new patterns for the organization.
• Act as the lead solution architect for the most complex and critical AI initiatives, ensuring solutions are built for scale, with the highest standards of reliability, security, and performance.
• Set the technical standards for AI development, including frameworks, tools, MLOps, and Model Governance, influencing teams across the organization.
• Mentor and develop senior technical talent (Lead and Senior Engineers), acting as a "force multiplier" to elevate the technical capabilities of the entire department.
• Lead and scale a multi-tiered organization of AI professionals, setting the vision, managing budget, and representing the AI function at the senior executive level.
• Serve as the primary technical advisor to senior leadership on all matters related to AI, including opportunities, risks, and competitive landscape.
• Drive a culture of innovation, experimentation, and technical excellence.

Qualifications:

• 14+ years of extensive experience across analytics consulting, AI Product development, AI/ML, GenAI research, GenAI projects development and production experience.
• World-class expertise in building GenAI led business solves, with a proven track record of designing and delivering business solutions, platforms, Products.
• Deep and authoritative knowledge of Generative AI, including LLMs, and extensive experience architecting and working with technology teams in building complex, production-grade Agentic solutions.
• Ability to define and articulate new architectural options and strategies to solve complex business and technical problems.
• Recognized thought leader in AI, with experience in influencing and driving technical direction across a large enterprise.
• Exceptional leadership and mentoring capabilities, with experience developing senior-level technical talent.
• Deep understanding of the financial services domain, including regulatory, compliance, and security challenges.
• Deep exposure to Agentic frameworks, AgentOps Tools, vector databases, container orchestration, API management, Foundation models, Fine Tuning frameworks, Parameter Efficient methods, Knowledge Graphs, retrieval frameworks and embedding models.
• Hands on experience with GenAI tech stack – Knowledge management, Chunking strategies, Intent algorithms, RAG strategies, Hybrid search algorithms, Fusion and ranking, attribution

Education:

• Bachelor's/University degree; Master's degree or PhD preferred in Computer Science, AI, Engineering, or a related quantitative field.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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