Sr. Developer - AI&ML

Delivering with Quality and Speed

• Collaborate with business and product owners, understanding the product and business domain to engineer solutions that create a competitive advantage
• Work within a team of engineers and cross-divisionally to design and build Artificial Intelligence into technical solutions at scale
• Contribute to the strategy around which frameworks and technologies are leveraged with each solution, and partner with the foundations teams to approve new design patterns
• Look upstream and downstream to see around corners and anticipate future consequences for immediate technical choices
• Document and communicate solutions with effective documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
• Design, Develop, Monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems
• Incorporate security standards, test-driven development, and pipeline deployment automation to achieve robust reliability and scale
• Mentor junior team-mates to define and implement detailed measurement data, error logging/tracking for all products within our domain
• Initiate and lead code reviews and continuous improvement efforts
• Analyze and implement Performance/Stability/Reliability initiatives
• Monitor metrics, problems, trends, and costs, in order to determine solutions, required process changes, etc. that will make the function more efficient
• Plan, create, and execute automated test cases and load/performance testing
• Operate with Agile and Cloud Target squads within two-week sprints
• Own and support what you build
• Develop an AI first mindset and help democratize AI

Qualifications

• 5+ years of work experience in Software Engineering
• 3+ years of work/educational experience in Artificial Intelligence/Machine Learning
• Experience with Agile Software Development Lifecycles and DevOps/DevSecOps
• Expertise with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning
• Development experience on AWS, AWS Sagemaker, AWS Gen AI stack including Bedrock, Guardrails and observability & monitoring required
• Experience with Agentic AI platforms and frameworks, MCP and A2A protocols
• Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications
• Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition
• Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras
• Experience with production-grade development, integration and support
• Experience and familiarity presenting to technical and business audiences