Job Description:
Role: Director – Software & AI/ML Engineering
Experience: 15+ years total, with 5+ years in software engineering leadership
Locations: Hyderabad, Noida
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: Bachelor's or master's 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 proprietary container orchestration platforms 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.
