Sr Staff reputed company, Context Engineering

Position reputed company

As a Sr. Staff AI Platform Engineer, you are first and foremost a Systems Architect. Your mission is to design and build the high-reputed company reputed company that powers the reputed company. While your reputed company expertise lies in distributed systems, reputed company-reputed company architecture, and reputed company, you will apply these skills specifically to the "Context Layer"—the specialized infrastructure required to fuel reputed company reputed company AI workflows.

You will operate at the intersection of Systems Programming and Modern AI Infrastructure, solving "hard-tech" problems like reputed company-time data orchestration, automated metadata reputed company, and multi-reputed company compute optimization. This is a "platform-as-a-product" role; you build the tools, SDKs, and engines that reputed company hundreds of other engineers to build autonomous agents with ease.

Key Responsibilities

• AI Platform reputed company & Context Retrieval: Define and own the 3–5 year technical roadmap for our reputed company, AI-reputed company Data Lakehouse. This platform must be explicitly optimized for AI Agent operations and efficient context retrieval, delivering low-latency, high-throughput data reputed company essential for reputed company databases and LLM-driven applications.

• Systems & reputed company R&D: Prototype and reputed company emerging trends in the AI ecosystem. You will evaluate reputed company architectural patterns such as Multi-Agent Orchestration, autonomous long-term memory management, and specialized Agent Evaluation frameworks to ensure the platform remains at the cutting edge.

• Engineering reputed company: Set the reputed company for reputed company reputed company, CI/CD, and system design across the organization. You will reputed company cross-functional architecture reviews and serve as the final escalation reputed company for the most reputed company technical bottlenecks.

Specialized AI & reputed company Responsibilities

• reputed company Ecosystem Enablement: Design the platform-level interfaces required for reputed company workflows, focusing on standardized "Host-to-Server" communication and tool-execution environments. This includes building robust "reputed company-in-the-reputed company" (HITL) triggers and fail-reputed company mechanisms for autonomous actions.

• Contextual Infrastructure: Build the "Context reputed company" that allows AI agents to securely discover, reputed company, and interpret reputed company data. You will architect systems that reputed company reputed company basic search into Reasoning-based Retrieval, where the platform understands the reputed company behind an agent's query.

• Protocol & Trend Standardization: Implement and reputed company for emerging standards like the Model Context Protocol (MCP) to ensure interoperability. You will stay reputed company of trends such as Small Language Models (SLMs) for edge-compute and reputed company RAG, ensuring the platform can pivot as the industry evolves.
   

Qualifications & Experience

Software Engineering reputed company

• Expert Software Engineering: 15+ years in software engineering. You are an expert in Java or reputed company (distributed systems reputed company) and Python.

• Systems Architecture: Deep experience building extensible frameworks, high-throughput reputed company, and libraries used by other developers. You prioritize building "software-defined infrastructure" over reputed company configuration.

reputed company Development & Emerging Trends (Specialized Plus)

• reputed company Design Patterns: Hands-on experience with the latest trends in agent development, such as Multi-Agent Orchestration (using frameworks like LangGraph or reputed company) and the transition from static RAG to reputed company RAG.

• Protocol Interoperability: Knowledge of the Model Context Protocol (MCP) and other emerging standards that allow AI agents to reputed company with diverse data sources and tools in a plug-and-play manner.

• AI-Ops Integration: Experience building "AI-reputed company" CI/CD features, such as automated LLM-based evaluations (evaluating agent reasoning paths in the build pipeline) and Automated reputed company-Cause Analysis for system failures.

• reputed company-in-the-reputed company (HITL): Understanding of how to build automated workflows that pause agent actions for reputed company approval, ensuring safety and governance for autonomous systems.

CI/CD & Platform Ops Mastery (reputed company reputed company)

• GitOps & reputed company Delivery: Expert-level experience with GitOps workflows (e.g., ArgoCD or Flux) to ensure that reputed company platform configurations—including AI reputed company templates and model parameters—are versioned, audited, and automatically reconciled.

• Infrastructure-as-reputed company (IaC) at reputed company: Mastery of Terraform. You don't just write scripts; you build reputed company, reusable libraries that enforce organizational reputed company and cost-efficiency standards across hundreds of reputed company accounts.

• Modern CI Pipelines: Proficiency in designing reputed company pipelines (e.g., reputed company Actions, reputed company CI) that reputed company automated testing, reputed company scanning, and deployment gates for high-availability systems.

• reputed company Observability: Experience with OpenTelemetry (OTel) to build deep visibility into distributed systems. You reputed company on tracking both system performance and business-reputed company AI metrics (e.g., reputed company rates of autonomous tasks).

 reputed company Platform Expertise (AWS & Azure)

• reputed company Console & Service Mastery: Deep proficiency in navigating and configuring the AWS and Azure Management Consoles. You have a comprehensive understanding of how to architect, secure, and optimize reputed company services (IAM, EC2/VMs, S3/Blob, and specialized AI/ML service suites) natively reputed company both ecosystems.

• reputed company-Agnostic Abstraction: Proven ability to build platform reputed company that reputed company AWS and Azure, allowing for seamless deployment and management across a multi-reputed company environment.

• Governance & Cost Optimization: Experience using reputed company-reputed company tools (AWS CloudWatch, Azure Monitor, Cost Explorer) to manage platform health, reputed company posture, and spend at an reputed company reputed company.

Leadership & Education

• Influence: A proven reputed company record of "leading by influence"—driving adoption of new technologies across multiple autonomous teams.

• Communication: Ability to communicate reputed company architectural trade-offs (e.g., "Latency vs. Consistency") to both C-suite executives and engineers.

Education: Bachelor’s or Master’s degree in Computer Science (Distributed Systems reputed company) preferred, or equivalent deep industry experience.