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 what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
We are seeking an AI Architect / Enterprise 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 lead the enterprise architecture, agent orchestration strategy, and platform design for AI-powered workflows, autonomous agents, copilots, and decision-support systems, ensuring alignment with business outcomes, security, compliance, and enterprise standards.
You will work closely with business leaders, product teams, data engineering, security, and IT to translate enterprise use cases into production-grade agentic AI systems.
Key Responsibilities
Enterprise & AI Architecture
Define the enterprise architecture for Agentic AI platforms, including LLMs, AI agents, tools, workflows, memory, orchestration, and observability
Design scalable architectures for multi-agent systems, human-in-the-loop workflows, and autonomous task execution
Establish reference architectures, patterns, and guardrails for AI productivity use cases
Align AI architecture with enterprise IT, data, security, and cloud strategies
Agentic AI & Productivity Use Cases
Lead AI solution design for enterprise 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 enterprise systems
Platform, Data & Integration
Architect integrations with enterprise systems (e.g., SAP SuccessFactors, Oracle (ERP, GTM, OTM), Salesforce, ServiceNow, CPQ)
Define data pipelines, vector stores, retrieval strategies (RAG), and memory architectures
Select and govern LLMs, embeddings, tools, and frameworks (open-source and commercial)
Design API-first (MCP), event-driven architectures for AI services
Governance, Security & Compliance
Establish AI governance, responsible AI, and risk management frameworks
Ensure compliance with data privacy, security, and regulatory requirements
Define controls for prompt management, model evaluation, auditability, and monitoring
Partner with security and legal teams on AI risk assessments
Leadership & Stakeholder Engagement
Act as a trusted advisor to business and technology leaders
Lead architecture reviews and guide delivery teams
Influence AI strategy, roadmap, and investment decisions
Mentor teams on agentic AI best practices and emerging patterns
Qualifications
Required Qualifications
Technical Expertise
Strong experience in enterprise 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 (OpenAI, Azure OpenAI, AWS Bedrock, Google, open-source models)
Expertise in RAG architectures, vector databases, and knowledge systems
Solid understanding of cloud-native architectures (AWS, Azure, GCP)
Enterprise Systems & Productivity
Experience integrating AI with HR, Finance, Sales, and Service platforms
Understanding of enterprise 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 security, identity, access control, and data privacy in AI systems
Ability to balance innovation with enterprise risk and compliance
Preferred Qualifications
Experience delivering AI productivity transformations at enterprise scale
Familiarity with agent frameworks (MCP, LangGraph, AutoGen, CrewAI, Semantic Kernel, etc.)
Experience with AI tools and observability
Background in enterprise transformation programs
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
Apply To This Job
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 what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
We are seeking an AI Architect / Enterprise 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 lead the enterprise architecture, agent orchestration strategy, and platform design for AI-powered workflows, autonomous agents, copilots, and decision-support systems, ensuring alignment with business outcomes, security, compliance, and enterprise standards.
You will work closely with business leaders, product teams, data engineering, security, and IT to translate enterprise use cases into production-grade agentic AI systems.
Key Responsibilities
Enterprise & AI Architecture
Define the enterprise architecture for Agentic AI platforms, including LLMs, AI agents, tools, workflows, memory, orchestration, and observability
Design scalable architectures for multi-agent systems, human-in-the-loop workflows, and autonomous task execution
Establish reference architectures, patterns, and guardrails for AI productivity use cases
Align AI architecture with enterprise IT, data, security, and cloud strategies
Agentic AI & Productivity Use Cases
Lead AI solution design for enterprise 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 enterprise systems
Platform, Data & Integration
Architect integrations with enterprise systems (e.g., SAP SuccessFactors, Oracle (ERP, GTM, OTM), Salesforce, ServiceNow, CPQ)
Define data pipelines, vector stores, retrieval strategies (RAG), and memory architectures
Select and govern LLMs, embeddings, tools, and frameworks (open-source and commercial)
Design API-first (MCP), event-driven architectures for AI services
Governance, Security & Compliance
Establish AI governance, responsible AI, and risk management frameworks
Ensure compliance with data privacy, security, and regulatory requirements
Define controls for prompt management, model evaluation, auditability, and monitoring
Partner with security and legal teams on AI risk assessments
Leadership & Stakeholder Engagement
Act as a trusted advisor to business and technology leaders
Lead architecture reviews and guide delivery teams
Influence AI strategy, roadmap, and investment decisions
Mentor teams on agentic AI best practices and emerging patterns
Qualifications
Required Qualifications
Technical Expertise
Strong experience in enterprise 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 (OpenAI, Azure OpenAI, AWS Bedrock, Google, open-source models)
Expertise in RAG architectures, vector databases, and knowledge systems
Solid understanding of cloud-native architectures (AWS, Azure, GCP)
Enterprise Systems & Productivity
Experience integrating AI with HR, Finance, Sales, and Service platforms
Understanding of enterprise 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 security, identity, access control, and data privacy in AI systems
Ability to balance innovation with enterprise risk and compliance
Preferred Qualifications
Experience delivering AI productivity transformations at enterprise scale
Familiarity with agent frameworks (MCP, LangGraph, AutoGen, CrewAI, Semantic Kernel, etc.)
Experience with AI tools and observability
Background in enterprise transformation programs
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
Apply To This Job