Description
We are seeking an Engineering Lead - Data and Applied AI to spearhead the evolution of our data technologies landscape through AI, driving innovation, and operational excellence.
You will harness cutting-edge technology to build and manage robust, scalable and secure applications, ensuring seamless delivery of our digital solutions backed by responsible use of AI.
Responsibilities
- Design, develop, and improve software using various engineering methodologies
- Ensure code is scalable, maintainable, and optimized for performance
- Collaborate with product managers, designers, and engineers to define software requirements and devise solution strategies
- Participate in code reviews and promote a culture of code quality and knowledge sharing
- Stay informed of industry technology trends and innovations
- Adhere to secure coding practices to mitigate vulnerabilities and protect sensitive data
- Implement effective unit testing practices to ensure proper code design, readability, and reliability
Vice President Expectations
- Contribute to or set strategy, drive requirements, and make recommendations for change
- Plan resources, budgets, and policies; manage and maintain policies/processes
- Deliver continuous improvements and escalate breaches of policies/procedures
- Demonstrate leadership and accountability for managing risk and strengthening controls
- Collaborate with other areas of work to keep up to speed with business activity and strategies
- Create solutions based on sophisticated analytical thought
- Seek out, build, and maintain trusting relationships and partnerships with internal and external stakeholders
Requirements
- Experience in Applied AI – Claude CLI / OpenAI SDK / Google ADK, RAG, LangChain, Langfuse, Bedrock, Guardrails, vector databases, advanced prompting
- Working knowledge of AWS – Python, IAM, S3, Lambda, Step functions, Cloudwatch, Glue, Athena, Lake Formation, RDS, Postgres, ECS, EKS, Cloud Formation
- Tech Leadership exposure within Software Architecture, line management, mentoring, cross-team collaboration, project planning & execution
- Excellent client-facing and stakeholder communication skills
Desirable skills sets:
- Experience in Big Data skills (Hadoop, Impala & Hive)
- Experience in Cloud Data technologies such as snowflake, databricks, starburst, star rocks
- Strong understanding of data governance and associated controls