Software Architect - Analytics & Reporting
Indexed description
As a member of Engineering you will collaborate closely with Product, Data Science, and Ops teams to architect solutions that transform how we deliver insights, automate workflows, and handle sensitive data across our enterprise.
Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model.
What You Will Do
- Architect scalable, modular platforms for analytics and reporting, with a focus on AI and cloud-native design (preferably Azure or AWS)
- Embed AI capabilities into reporting pipelines, dashboards, and data transformation workflows
- Design and enforce data governance and security protocols, especially for PHI and compliance-sensitive datasets
- Collaborate with cross-functional teams to define technical roadmaps, integration strategies, and automation goals
- Evaluate and implement AI/ML models for predictive analytics, anomaly detection, and intelligent data classification
- Mentor engineering teams on proven practices in AI-first development, DevOps, Analytics and CI/CD
- Ensure architectural alignment with enterprise standards and enterprise-managed cloud environments
What You Will Bring
If you don't meet every single requirement, don't let that hold you back - we're just as excited about potential as we are about qualifications and experience, and you could be exactly who we're looking for.
- Proven extensive experience in software architecture, with deep experience in analytics or reporting domains
- Proven experience with AI automation tools
- Demonstrated familiarity with deployment of agentic AI systems that autonomously perform tasks across data pipelines, reporting workflows, or operational triggers
- Proven experience with integrating ML models for predictive analytics, classification, anomaly detection, and natural language processing
- Demonstrated familiarity with RAG (Retrieval-Augmented Generation) architectures to enhance reporting with contextualized, real-time insights
- Demonstrated familiarity with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, Haystack) to build intelligent agents or copilots for analytics
- Proven ability to implement AI observability and evaluation frameworks to monitor model performance, bias, and drift in production
- Proven experience with embedding AI into dashboards, reports, and decision-support tools using APIs or SDKs
- Demonstrated knowledge of data labeling, model training, and fine-tuning workflows, especially for structured and semi-structured enterprise data
- Demonstrated understanding of AI governance, including model explainability, auditability, and ethical considerations in analytics contexts
- Proven solid background in cloud architecture (Azure, AWS, or GCP)
- Proven deep understanding of and experience with Microsoft Fabric, Snowflake or Databricks, or comparable technology
- Demonstrated deep understanding of data engineering, ETL pipelines, and BI tools (Power BI, Tableau, etc.)
- Proven experience with containerization (Docker, Kubernetes) and serverless computing
- Demonstrated familiarity with HIPAA, SOC2, or other compliance frameworks
- Demonstrated excellent communication and stakeholder management skills
- Certification in cloud architecture or AI/ML technologies
- Proven background in healthcare analytics or risk adjustment
- Be part of a transformation journey to modernize enterprise analytics
- Work with cutting-edge AI tools to automate and scale reporting
- Influence architectural decisions across a high-impact business line
- Collaborate with top engineering and data talent in a mission-driven environment
- Opportunities for professional development
- Inclusive and supportive team culture
- Key benefits: private health insurance, wellness programs, matching pension contribution, lunch provided by the company, training opportunities, employee donations matching and others
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