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Role & responsibilities : Role: Director Software & AI/ML Engineering 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 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. - Solid 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.