Associate Director, GenAI

Technical Leadership & Architecture

Set the technical vision and architectural direction for knowledge framework integrations, including data ingestion, embedding pipelines, and retrieval systems

Make key design decisions on pipeline architecture, data modeling, and search strategies, balancing quality, performance, and delivery timelines

Evaluate and recommend technologies, frameworks, and approaches for knowledge integration challenges

Maintain sufficient hands-on involvement to provide credible technical guidance and unblock the team on complex problems

Demonstrate solid understanding of systems and processes within the domain and recommend improvements

Manage, mentor, and develop a small team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement

Conduct regular one-on-ones, provide constructive feedback, and support career growth for direct reports

Plan and prioritize team workload, balancing feature delivery, technical debt, and operational responsibilities

Recruit, onboard, and ramp new team members as the team scales

Champion collaborative resolution of defects and lead internal process improvement initiatives

Establish and enforce engineering standards for code quality, testing, documentation, and peer review across the team

Guide the team in best practices for data pipeline development, retrieval system design, and test automation

Ensure comprehensive test coverage including unit testing, integration testing, and retrieval quality evaluation

Drive adoption of test-driven development (TDD) practices and automated quality gates

Own the team s roadmap and delivery commitments, translating business requirements into actionable technical plans

Break down complex integration initiatives into well-scoped work items with clear acceptance criteria

Track progress, identify risks early, and adjust plans to meet deadlines without sacrificing quality

Provide regular status updates and delivery forecasts to leadership

Partner with product, platform engineering, and agent development teams to align knowledge integration priorities with broader platform goals

Communicate complex or technical information at the appropriate level for diverse audiences including leadership, peers, and external partners

Represent the team in cross-functional planning sessions, architecture reviews, and prioritization discussions

Build strong working relationships across the organization to facilitate collaboration and shared accountability

Stay informed of advances in RAG architectures, embedding models, retrieval optimization, and knowledge management approaches

Evaluate emerging technologies and techniques for applicability to the team s work, making build-vs-buy recommendations

Drive innovation within the team by creating space for experimentation and proof-of-concept work

Ensure all team deliverables meet or exceed organizational standards for secure development practices

Oversee secure handling of sensitive domain data throughout the ingestion and retrieval lifecycle

Assist with adherence to technology policies and ensure the team complies with all security controls

Participate in threat modeling and security discussions for data pipeline and infrastructure components

Bachelor’s degree in Computer Science, Information Systems or related discipline with at least five (5) years of related experience, or equivalent training and/or work experience;
Master’s degree and past Financial Services industry experience preferred. Minimum of 3 years of managing technical programs and/or processes including staff management of at least four (4) resources and budget of at least $1 million annually. Knowledge of business, technology and management principles involved in strategic planning, organizational change management, resource allocation, human resources modeling, leadership technique, and coordination of people and resources.

Experience must include direct project experience in one of the following areas:…