Job Summary (List Format):
- Lead the delivery of strategic business initiatives from problem definition through solution deployment.
- Design and develop scalable, data-intensive software applications and backend services.
- Integrate data from various sources including cloud platforms, enterprise systems, SharePoint, spreadsheets, and APIs.
- Transform manual and fragmented business processes into automated, scalable solutions.
- Deploy AI, machine learning, and agent-based capabilities within software applications when appropriate.
- Partner with stakeholders to refine business requirements, define success metrics, and establish measurable KPIs.
- Design and implement systems of record to capture recommendations, decisions, and business outcomes for long-term impact measurement and reporting.
- Establish data validation, monitoring, governance, and operational support processes to ensure solution reliability and adoption.
- Collaborate directly with both technical and non-technical stakeholders to iterate on solutions and measure business outcomes.
- Operate independently, making sound technical decisions, and communicate clearly across diverse teams.
Required Skills/Qualifications:
- 5+ years' experience in software engineering, data engineering, machine learning, BI/AI engineering, data science, or data analysis.
- Proven experience building and deploying production-grade, data-intensive applications/services.
- Strong proficiency in Python and modern software engineering practices (version control, testing, code review, API design).
- Hands-on experience with AWS, Microsoft Azure, Databricks, and Oracle platforms.
- Experience building data pipelines and integrating structured and unstructured data from multiple sources.
- Experience modernizing manual or fragmented business processes using software, automation, and AI solutions.
- Ability to work directly with business stakeholders to define requirements and measure outcomes.
- Strong independent working skills and effective communication with technical and non-technical audiences.
Preferred Qualifications:
- Staff-level or technical lead experience.
- Experience developing LLM-enabled applications, agentic workflows, or embedded AI agents.
- Familiarity with modern web application frameworks and cloud-native deployment.
- Consulting, startup, solutions engineering, or embedded product engineering experience.