14 days ago
Base Salary
$110k - $209k/yr
Responsibilities
- Lead end-to-end architecture and solution design for generative AI, agentic AI, machine learning, analytics, data, and software solutions on AWS.
- Partner with Finance stakeholders to identify, scope, and deliver use cases for forecasting, planning, reporting, reconciliation, close-process support, and document or transaction analysis.
- Design secure, scalable, resilient, performant, and cost-effective AWS solutions for data ingestion, storage, processing, analytics, AI/ML, application development, and deployment.
- Establish data and AI governance covering lineage, quality, access management, retention, auditability, human review, and escalation.
- Guide model and generative-AI evaluation, validation, monitoring, explainability, versioning, change management, and responsible use.
- Incorporate security, privacy, segregation of duties, financial reporting, internal controls, and audit requirements into solution designs.
- Evaluate build, reuse, and purchase alternatives based on business value, technical fit, risk, feasibility, and total cost of ownership.
- Advise Finance and IT leaders, product owners, engineers, data teams, and operations partners on architecture decisions, risks, dependencies, and trade-offs.
- Define production-readiness expectations and promote testing, deployment, monitoring, incident response, documentation, and cost and performance optimization.
- Provide technical leadership, work autonomously, mentor architects and delivery team members, and promote enterprise technology and governance standards.
Requirements
- Bachelor’s degree with 7 years of relevant experience, master’s degree with 6 years of experience, or PhD with 2 years of experience.
- Relevant experience in application development and solution architecture for AI applications.
- In-depth knowledge of the systems development life cycle, solution architecture, and production-grade cloud, data, and analytics solutions for generative and agentic AI and ML applications.
- Demonstrated experience designing or implementing AWS solutions for data management, security, integration, deployment, monitoring, and cost optimization.
- Strong understanding of generative and agentic AI capabilities, limitations, lifecycle practices, evaluation, validation, monitoring, and responsible use.
- Knowledge of data governance, privacy, access control, auditability, and financial controls.
- Proven record of delivering technology solutions and balancing business value, risk, feasibility, and total cost of ownership.
- Excellent written and oral English communication skills for technical and nontechnical audiences.
Benefits
- Comprehensive benefits include paid time off, medical, dental, and vision insurance, and a 401(k) for eligible employees.
- Eligible to participate in long-term incentive programs.
- No travel is indicated for the role.
- The listed compensation range is USD 109500 to USD 208500 yearly.