Software Development Manager- Finance AI and ML Dev, Finance AI and ML Forecasting and Core Engineering

Amazon Finance Tech team leads innovation to combine data-driven finance with the AI approach driving accuracy, next gen forecasting capabilities, speed, efficiency, and reliability by exploring new techniques in ML and AI and building full stack services in AWS. This AI-First Finance builders team will lead AI Application Architecture, designs for predicting outcomes, forecasting values with high degree of automation and ML Ops for existing science pipelines and frameworks.

The SDM for this team will lead a group of sr developers to deliver front end and backend solutions with GenAI-assisted software development builder tools and workflows to generate & optimize code, build tests, serve APIs, automate ML and Stats training and development pipelines and build orchestrations to serve with continuous evaluation and model training. In this position you will collaborate with scientists, product leaders, platform builders and finance leaders to create best-in-class AI/ML model training environments, diving very deep into ML frameworks, challenge core assumptions and successfully execute in high pace.

Key job responsibilities
- Create a vision and roadmap for your team in collaboration with finance partners, experts, and customers.
- Lead critical design and arch reviews to modernize data workflows, forecasting solutions, back testing, and user environments.
- Evaluate risk, feasibility, alternative solutions and carefully determine course of action with available data.
- Effectively communicate with leadership and stakeholders, fostering relationships of trust with partners.
- Build a high-performance organization, through hiring, mentoring, skill development and coaching, growing engineers careers.
- Influence other teams and leaders outside your organization, work hand-in-hand with Principal Engineers, diving deep into technical areas as needed, and coordinate with other teams working in the same space spread across the world.

A day in the life
The Software Development Manager with AI/ML experience will manage a two-pizza development team in Bangalore. The team will build innovative AI-driven big data solutions to support and forecast critical Amazon Financial work flows and processes, handling tons of data daily through GenAI-driven NLP queries. This SDM will be part of the Finance tech organization and will be responsible for hiring, coaching, and leading a development team that creates innovative Cloud solutions enabling new/unique experiences for our financial customers on a wide range of AI and ML models. The team will also develops scalable micro-services and solutions that enable Finance decision makers to quickly build and launch operating plans and cyclical financial workflows in a cost-effective way.

This hands-on position requires broad engineering competence in Amazon Cloud and AI Stack such as Amazon Bedrock, Sagemaker, EC2, Lambda, Dynamo DB along with Java,Python full-stack expertise and a good understanding of the scalable software system design. In addition, it will require demonstrated experience successfully planning, organizing and conducting software development projects in a dynamic environment.

- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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