Director, Senior Engineering (AI/ML)

Role: Director Software & AI/ML Engineering

Team: Capital Markets | Enterprise Software

Experience: 15+ years total, with 5+ years in software engineering leadership

Role Summary

We are seeking a strategic and experienced Director of Software application development & AI/ML Engineering to lead the development of robust, scalable, and secure enterprise software applications for the capital markets domain, with a strong emphasis on SaaS-based solutions and microservice architectures. This leadership role combines deep expertise in software application development with capabilities in AI/ML to deliver innovative, high-impact solutions that drive automation, intelligence, and compliance in critical financial workflows.

Key Responsibilities

• Define and execute the technical roadmap for SaaS-based enterprise software applications, leveraging microservice-based architectures and AWS-native development.

• Led the end-to-end software development lifecycle from requirements gathering and system design to deployment and maintenance using C#, .NET, Angular, SQL Server, and other Microsoft or open-source technologies.

• Architect and deploy scalable, secure, and high-performance applications on AWS, utilizing services such as EC2, ECS, Lambda, RDS, API Gateway, and CloudFormation.

• Drive the adoption of microservice-based architectures to ensure modularity, scalability, and maintainability of SaaS applications.

• Integrate AI/ML capabilities into applications, focusing on areas like intelligent document processing, market analysis, and risk modeling.

• Develop and deploy AI/ML solutions, including Generative AI and LLM-based applications with custom Retrieval-Augmented Generation (RAG) pipelines

• Collaborate with Product, Data Engineering, and Client teams to align technical solutions with business and client needs.

• Mentor and grow a high-performing engineering team, fostering a culture of innovation, collaboration, and technical excellence.

• Ensure applications and AI systems are secure, compliant, and traceable, adhering to regulatory standards in the capital markets domain.

Required Qualifications

• Education: Bachelors or masters degree in computer science, Software Engineering, or a related field.

• Experience:

• 15+ years in software development, with minimum 5 years in leadership roles focused on application development.

• Proven track record of delivering SaaS-based applications using microservice architectures, ideally in capital markets, fintech, or enterprise software.

• Technical Skills:

• Expertise in C#, Angular, SQL, and the broader Microsoft technology stack for building robust, scalable back-end systems and developing dynamic, responsive front-end interfaces.

• Deep knowledge of microservice-based architectures, including design, implementation, and orchestration (e.g., using Kubernetes or ECS).

• Extensive experience in SaaS application development, focusing on scalability, multi-tenancy, and performance.

• In-depth expertise in AWS-native application development, leveraging services like EC2, ECS, Lambda, RDS, API Gateway, and CloudFormation.

• Familiarity with DevOps practices, including CI/CD pipelines, Docker, Terraform, and AWS CDK for infrastructure-as-code.

• Strong understanding of Python and API development using FastAPI or Flask for AI/ML integration.

• Good Understanding of ML algorithms, feature engineering, deep learning, and modern NLP techniques.

• Hands-on experience with LLMs, RAG systems, and frameworks like LangChain, Llama Index, and vector databases (e.g., FAISS, Pinecone, OpenSearch).

• Familiarity with AWS AI/ML services like SageMaker and Bedrock for model training and deployment.

• Leadership & Communication:

• Proven ability to lead and scale software engineering teams in complex, data-driven environments.

• Exceptional communication skills to present technical and AI/ML concepts to non-technical stakeholders, including compliance, product, and client-facing teams.

• Passion for building secure, scalable, and compliant systems with a focus on performance, traceability, and fairness.

• Agile mindset with experience thriving in fast-paced, regulated environments.