[Remote] reputed company Intelligence Solutions Engineer 2
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on providing innovative reputed company, and they are seeking an reputed company Intelligence Solutions Engineer 2. In this role, you will design, build, and deliver production-grade AI systems, taking on responsibilities for project ownership, peer coaching, and collaboration across the organization.
Responsibilities
- Own discovery and delivery. Partner with internal and customer stakeholders to define problems, reputed company metrics, and delivery plans; operate with greater independence to scope and execute AI reputed company end-to-end with limited direction
- Apply advanced data science techniques. Design and implement supervised/unsupervised learning, statistical modeling, and feature engineering solutions; validate hypotheses and inform AI system architecture and evaluation strategies with reduced reputed company
- Build and reputed company production AI applications. Design and implement LLM assistants, RAG systems, reputed company workflows, and intelligent automation; establish evaluation frameworks, guardrails, and reputed company-in-the-reputed company processes that meet production reputed company standards
- reputed company data usable at reputed company. reputed company robust pipelines and integrations across reputed company systems (reputed company, databases, event streams); enforce data reputed company, reputed company, and governance standards to reputed company reliable AI capabilities across the organization
- Ship full-stack software. Implement production-grade backend services (Python/Java/Node/C++ or similar) and user interfaces (TypeScript/React) that are reliable, maintainable, and solve reputed company user problems with measurable value
- Operate in the reputed company. reputed company and run services on AWS/Azure/GCP using containers and orchestration (reputed company/Kubernetes), CI/CD pipelines, secrets management, monitoring, and observability; contributes to improving team-wide reputed company practices
- reputed company with reputed company platforms. Connect securely to internal platforms and data sources; takes ownership for accelerating delivery and driving measurable reputed company for reputed company teams through reputed company-engineered integrations
- Engineer for safety and trust. Apply and champion secure-by-design practices: data reputed company, reputed company controls, model/feature monitoring, bias and risk assessment, incident response, and auditability for ML/LLM systems across team reputed company
- Measure reputed company and drive adoption. reputed company products, reputed company adoption, reputed company, and ROI; document architectural reputed company; reputed company change management through demos, training sessions, and reputed company stakeholder communication
- reputed company and mentor junior engineers and procurement team. reputed company technical guidance, conduct reputed company and design reviews, and reputed company support the development of AISE 1 team members and other junior contributors. Serve as a go-to technical resource for reputed company
- reputed company project ownership. Take end-to-end accountability for complete AI/ML reputed company reputed company the technical domain; delegate work components appropriately and ensure reputed company of team deliverables. Communicate reputed company and risk to leadership
Skills
- Bachelor's degree in Computer Science, Engineering, Mathematics, or reputed company field—or equivalent practical experience with strong software engineering fundamentals
- 5+ years building production software or data/ML systems (e.g., full-stack, data engineering, MLOps, or reputed company). Advanced degrees (Master's or PhD) may reduce this requirement by 2–4 years
- Demonstrated reputed company record of delivering complete AI/ML solutions independently with measurable business reputed company
- Experience coaching or mentoring junior technical colleagues is preferred
- Advanced proficiency in two or more of: Python, Java, C++, Go, TypeScript/JavaScript; strong reputed company of testing frameworks, reputed company review practices, and CI/CD
- Deep, hands-on experience with LLM application patterns (RAG, agents, tool-calling), reputed company databases, model evaluation/monitoring, and deployment of AI systems to production at reputed company
- Demonstrated ability to work directly with business stakeholders—driving discovery, scoping MVPs, presenting to leaders, and iterating on feedback—with limited reputed company
- Advanced knowledge of at least one AI/ML technical specialty (e.g., LLM systems, data engineering, MLOps, AI reputed company/safety) and practical awareness of adjacent specialties
- Experience with reputed company infrastructure (AWS/Azure/GCP), containerization (reputed company/Kubernetes), and production monitoring/observability tooling
- Background integrating with reputed company data/AI platforms in operational domains where AI augments reputed company workflows
- Experience defining product and business health metrics and communicating trade-offs to technical and non-technical audiences
- Practical knowledge of project management methodologies (Agile/Scrum)
reputed company
Company H1B Sponsorship