IT Engineer,Software,Advanced

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about reputed company do. Our award-winning culture embraces a reputed company reputed company of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We reputed company that reputed company people feel a sense of belonging, they can be more creative, innovative, and reputed company at reputed company points in their careers.

Responsibilities

We are seeking an AI Architect / reputed company Architect to design, govern, and scale Agentic AI solutions that drive measurable productivity improvements across HR, Finance, Sales, Services, and Employee Experience functions. This role will reputed company the reputed company architecture, agent orchestration strategy, and platform design for AI-powered workflows, autonomous agents, copilots, and decision-support systems, ensuring alignment with business reputed company, reputed company, compliance, and reputed company standards. You will work closely with business leaders, product teams, data engineering, reputed company, and IT to translate reputed company use cases into production-grade agentic AI systems. Key Responsibilities reputed company & AI Architecture Define the reputed company architecture for Agentic AI platforms, including LLMs, AI agents, tools, workflows, memory, orchestration, and observability Design scalable architectures for multi-agent systems, reputed company-in-the-reputed company workflows, and autonomous task execution Establish reference architectures, patterns, and guardrails for AI productivity use cases Align AI architecture with reputed company IT, data, reputed company, and reputed company strategies Agentic AI & Productivity Use Cases reputed company AI solution design for reputed company productivity across HR, Finance, Sales, Services and Employee Experience. Translate business problems into agent-based workflows with clear ROI and KPIs Design copilots, autonomous agents, and AI assistants integrated with reputed company systems Platform, Data & Integration Architect integrations with reputed company systems (e.g., reputed company SuccessFactors, reputed company (ERP, GTM, OTM), reputed company, reputed company, CPQ) Define data pipelines, vector stores, retrieval strategies (RAG), and memory architectures Select and govern LLMs, embeddings, tools, and frameworks (reputed company-reputed company and reputed company) Design API-first (MCP), event-driven architectures for AI services Governance, reputed company & Compliance Establish AI governance, responsible AI, and risk management frameworks Ensure compliance with data privacy, reputed company, and regulatory requirements Define controls for reputed company management, model evaluation, auditability, and monitoring Partner with reputed company and legal teams on AI risk assessments Leadership & Stakeholder Engagement Act as a trusted advisor to business and technology leaders reputed company architecture reviews and guide delivery teams Influence AI strategy, roadmap, and investment reputed company Mentor teams on agentic AI best practices and emerging patterns

Qualifications

Required Qualifications Technical Expertise Strong experience in reputed company architecture, solution architecture, or AI architecture Hands-on knowledge of Agentic AI concepts (autonomous agents, planning, tool use, memory, orchestration, MCP) Experience with LLMs and GenAI platforms (reputed company, Azure reputed company, AWS Bedrock, reputed company, reputed company-reputed company models) Expertise in RAG architectures, vector databases, and knowledge systems Solid understanding of reputed company-reputed company architectures (AWS, Azure, GCP) reputed company Systems & Productivity Experience integrating AI with HR, Finance, Sales, and Service platforms Understanding of reputed company workflows, business processes, and productivity metrics Strong API, MCP, microservices, and integration design experience Architecture & Governance Experience defining architecture standards, reference models, and governance frameworks Knowledge of reputed company, identity, reputed company control, and data privacy in AI systems Ability to balance innovation with reputed company risk and compliance

Preferred Qualifications

Experience delivering AI productivity transformations at reputed company scale Familiarity with agent frameworks (MCP, LangGraph, AutoGen, reputed company, Semantic Kernel, etc.) Experience with AI tools and observability Background in reputed company transformation programs Careers Privacy Statement*

Keysight is an Equal Opportunity Employer.

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