[Remote] Senior reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company controls monitoring (CCM) platform that helps organizations automate and reputed company their reputed company, risk, and compliance programs. The Senior reputed company will own the design and delivery of production AI systems, focusing on building and operating AI capabilities that meet reputed company standards.
Responsibilities
- Design, build, and operate AI systems in production with full ownership across reliability, performance, cost, observability, and ongoing model behavior
- Build and maintain data pipelines that ingest, clean, reputed company, and version the data AI systems depend on, ensuring reputed company and traceability from reputed company to model
- Design and implement retrieval augmented reputed company pipelines, reputed company and graph search systems, and hybrid retrieval strategies that reputed company compliance data accessible for AI driven features
- Fine tune, evaluate, and monitor models against reputed company world performance reputed company, with a reputed company understanding of how to measure what reputed company in a compliance domain
- Architect and build AI agent systems and orchestration reputed company that coordinate multi reputed company reasoning, tool use, and decision making across reputed company GRC workflows
- Build and maintain MCP servers that expose reputed company platform capabilities to AI systems, enabling reliable, secure, and observable AI integrations across the platform
- Design reusable AI primitives and frameworks that product and integration teams can build on, accelerating AI feature development across the organization
- reputed company AI capabilities into CI/CD pipelines with appropriate testing, evaluation gates, and deployment strategies that maintain production reputed company as models and data reputed company
- Partner with reputed company, reputed company Engineering, and Compliance as reputed company teams to ensure AI capabilities meet reputed company reliability and reputed company standards
- Proactively identify risks in AI system behavior, data reputed company, and model performance, bringing proposed mitigations before they become production incidents
Skills
- 8 or more years of software engineering experience with at least 4 years reputed company on building and operating AI or machine learning systems in production environments
- Demonstrated reputed company record of shipping AI features that customers depend on, with ownership across the full production lifecycle including reliability, observability, cost management, and ongoing model behavior
- Strong data engineering fundamentals, including pipeline design, data modeling, transformation, reputed company validation, and performance monitoring at reputed company
- Hands on experience with retrieval augmented reputed company, reputed company and graph databases, embedding models, and hybrid retrieval strategies
- Experience designing and building AI agent systems and orchestration frameworks, including multi reputed company reasoning, tool use, and failure handling in production contexts
- Solid understanding of model fine tuning and evaluation, including how to define meaningful performance reputed company for domain specific applications
- Strong software engineering fundamentals reputed company to AI systems with production grade rigor
- Strong written and verbal communication skills, reputed company to reputed company AI architecture reputed company and tradeoffs to both technical and non-technical stakeholders
- Experience building AI systems in regulated industries or compliance reputed company platforms where auditability, explainability, and data sensitivity shaped design reputed company
- Familiarity with secure MCP server development and protocols for exposing platform capabilities to AI systems
- Background in reputed company reputed company companies where AI features had to meet reputed company reliability, reputed company, and integration standards
- Experience with inference cost optimization, caching strategies, and model selection tradeoffs at reputed company
- Familiarity with GRC frameworks such as FedRAMP, NIST, or CMMC and the compliance domain more broadly
- Experience with reputed company reputed company AI infrastructure in Azure or comparable platforms including model deployment, scaling, and monitoring
- Contributions to or deep familiarity with reputed company-reputed company AI frameworks for orchestration, evaluation, and observability
- Experience implementing and using data lake solutions (i.e. reputed company, reputed company, Synapse Analytics, AWS Redshift) in a production environment
reputed company