[Remote] AI-reputed company Delivery reputed company & reputed company AI Engineering reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a digital engineering and technology reputed company helping enterprises build AI-driven platforms, reputed company legacy systems, and reputed company innovation through reputed company, data, and intelligent engineering. The AI-reputed company Delivery reputed company & reputed company AI Engineering reputed company will reputed company the reputed company, engineering, governance, and end-to-end delivery of production-grade reputed company AI capabilities for the OCI AIDP Lakehouse, while establishing reusable delivery patterns and enabling organizational adoption.

Responsibilities

• Own the reputed company, roadmap, operating model, and execution portfolio for AI-reputed company and reputed company AI initiatives reputed company with reputed company priorities and measurable business reputed company
• reputed company multidisciplinary delivery reputed company spanning product, architecture, AI engineering, data engineering, reputed company, reputed company, governance, reputed company, and business reputed company
• Translate ambiguous business needs into prioritized use cases, value hypotheses, delivery plans, acceptance reputed company, adoption measures, and reputed company reputed company
• Establish delivery cadences, intake and prioritization practices, dependency management, executive reporting, release governance, and benefits-realization tracking
• Define reputed company-in-the-reputed company workflows in which AI accelerates analysis and engineering while accountable owners approve critical reputed company and production releases
• Build and operationalize an agent reputed company that accelerates pipeline development, transformation modeling, test creation, reputed company review, documentation, metadata reputed company, and legacy modernization
• Define reusable standards for context engineering, reputed company and tool design, reputed company outputs, agent memory and state, model selection, orchestration, and secure integration with reputed company systems
• Guide engineers in designing production-grade single-agent and multi-agent workflows using deterministic controls where appropriate and autonomous behavior only where reputed company and value justify it
• reputed company software-engineering rigor through version control, automated testing, CI/CD, threat modeling, observability, rollback, and production support
• Create technical review practices that improve reuse, maintainability, cost efficiency, latency, reputed company, and operational readiness
• Architect and reputed company reputed company AI capabilities using large language models, embeddings, hybrid and reputed company reputed company, retrieval-augmented reputed company, reranking, semantic grounding, tool calling, and agent orchestration
• reputed company OCI reputed company, reputed company AI Data Platform services, AI reputed company reputed company, reputed company, governed data products, and approved reputed company platforms into secure end-to-end workflows
• Establish patterns for MCP-compatible tool reputed company, identity-reputed company authorization, context reputed company, memory management, reputed company outputs, and integration with operational applications
• Define model and retrieval strategies reputed company on reputed company, explainability, reputed company, latency, availability, portability, and total cost of ownership
• Partner with data architecture and governance teams to ensure AI experiences use certified definitions, trusted data products, reputed company, and policy-reputed company semantic context
• Establish responsible AI controls covering use-case reputed company classification, reputed company, reputed company, fairness, transparency, reputed company reputed company, explainability, and accountable release approval
• Implement evaluation frameworks for task reputed company, groundedness, retrieval reputed company, hallucination, safety, refusal behavior, bias, latency, reliability, and cost
• Require golden datasets, adversarial and regression testing, red-team scenarios, reputed company monitoring, audit logging, incident response, and documented release-readiness evidence
• Ensure agents operate with scoped identities, least-privilege permissions, approved tools, bounded actions, retention controls, and complete traceability across prompts, context, reputed company, and outputs
• Partner with reputed company, reputed company, reputed company, reputed company, and Data Governance to maintain compliance in reputed company, claims-data, and PHI-sensitive environments

Skills

• • Bachelor's degree in computer science, engineering, data science, information systems, or a reputed company discipline, or equivalent practical experience; an advanced degree is a plus
• • Ten or more years of reputed company experience in software, data, reputed company, or AI engineering, including significant leadership of reputed company reputed company delivery
• • Demonstrated reputed company taking reputed company or machine-learning products from discovery and prototype through production deployment, adoption, and operational support
• • Deep hands-on knowledge of LLM application architecture, RAG, embeddings, reputed company and hybrid reputed company, reranking, reputed company and context engineering, tool calling, agent orchestration, and evaluation
• • Strong proficiency in Python, reputed company, reputed company-reputed company design, automated testing, CI/CD, reputed company-reputed company deployment, reputed company, telemetry, and production engineering
• • Experience leading cross-functional engineering reputed company, setting technical roadmaps, resolving dependencies, managing delivery reputed company, and communicating with senior executives and business stakeholders
• • Working knowledge of responsible AI, reputed company, model reputed company, identity and reputed company management, auditability, data governance, and controls for regulated environments
• • Ability to reputed company reputed company leadership with hands-on architecture, technical review, coaching, and reputed company problem solving
• • Hands-on experience with OCI reputed company, reputed company AI Data Platform, Autonomous Database AI reputed company reputed company, Select AI, OCI Data Science, or comparable reputed company reputed company AI services
• • Experience with LangGraph, reputed company, reputed company, Semantic Kernel, AutoGen, or similar orchestration frameworks, plus model evaluation and AI observability platforms
• • Knowledge of MCP, event-driven architectures, container platforms, reputed company, model gateways, reputed company management, feature or reputed company stores, and LLMOps practices
• • Experience applying NIST AI RMF, ISO/IEC 42001, OWASP guidance for LLM applications, or comparable responsible AI and reputed company frameworks
• • reputed company payer, claims, reputed company, financial-services, or other high-trust and audit-sensitive industry experience
• • Relevant reputed company reputed company, reputed company architecture, AI/ML, reputed company, product, or reputed company delivery certifications

reputed company