Senior Applied AI Engineer – Developer Productivity & SDLC

Barcelona, Spain·Added 7 months ago

Keysight

23 open roles

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What they ask for

Have the right to work in Spain
Keysight doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Work on-site in Barcelona
No relocation package mentioned.
Have 5+ years of experience
Senior-level role.

This job was published 7 months ago

The role

This role sits at the intersection of AI, software engineering, and enterprise transformation.

As a Senior Applied AI Engineer, you will design and implement AI-driven solutions that modernize and accelerate Keysight's Secure Software Development Lifecycle (SDLC). You will evaluate emerging AI technologies (LLMs, RAG, agentic systems), translate governance into practical engineering standards, and build reference architectures that can scale across global engineering teams.

Your impact will directly influence developer productivity, engineering quality, and responsible AI adoption across the enterprise.

What you'll do

Lead technical evaluations and enterprise rollouts of AI tools and platforms.
Design reusable solution patterns (prompt libraries, RAG architectures, agent workflows) to improve coding, testing, documentation, and planning.
Develop reference implementations ("golden paths") integrating AI into DevSecOps toolchains.
Evaluate emerging AI paradigms (e.g., MCP, agentic frameworks) and guide safe adoption.
Architect end-to-end AI solutions spanning cloud, on-prem, and hybrid environments.
Optimize AI integrations for performance, cost efficiency, and developer experience.
Collaborate with engineering and DevSecOps teams to embed AI into CI/CD, testing, and release processes.
Translate corporate AI governance into practical engineering guardrails.
Align AI practices with ISO/IEC 42001, NIST AI RMF, SOC2, and OWASP API Security principles.
Implement secure data handling, model access control, and vendor usage standards.
Engage engineering leaders and IT stakeholders to drive adoption programs.
Manage vendor evaluations, pilots, and compliance alignment.
Provide executive-level updates on AI adoption impact, productivity gains, and risks.

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-winningculture 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.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
5-10+ years of experience in software engineering.
Hands-on experience applying modern AI technologies (LLMs, RAG, agent frameworks) to real-world engineering workflows.
Experience integrating AI into DevSecOps environments and CI/CD toolchains.
Working knowledge of secure software development practices and practical security controls.
Strong communication skills with experience influencing cross-functional teams.

Requirements

Nice to have

Experience defining enterprise engineering KPIs and productivity metrics.
Exposure to ISO/IEC 42001, NIST AI RMF, SOC2, or similar compliance frameworks.
Experience with MLOps pipelines and data engineering for AI (ETL, embeddings, vector databases).
Prior experience driving enterprise AI enablement programs.
Experience working in large, global engineering organizations.

How they hire

Recruiter screening, hiring manager review, then business interviews with the hiring manager and team before an offer 1 interview

About Keysight

Keysight Technologies is a global electronic measurement and test equipment company that designs, manufactures, and services electronic instruments and software for design, development, and testing across industries including aerospace, defense, automotive, and communications. With over 15,000 employees worldwide, Keysight serves customers in more than 100 countries, providing solutions that span from design simulation to manufacturing test and network visibility.

Keysight has a significant presence in Spain, with offices in Barcelona and Madrid supporting its European operations. The company is known for its engineering-driven culture, offering international professionals opportunities in R&D, software engineering, and customer-facing roles. For international hires, Keysight provides a multicultural work environment and career paths in cutting-edge areas like 5G/6G, AI, and cloud technologies.

Industry: Test and Measurement
Founded: 1939
Employees: 10,000–20,000
Headquarters: Santa Rosa, USA
In Spain: Barcelona
Website: keysight.com

Good to know if you are moving

Keysight operates in a highly technical, engineering-driven environment where international professionals can find roles in R&D, software, and customer-facing positions.
The company has a significant R&D hub in Barcelona, Spain, which is a key center for its wireless and 6G research.
Keysight offers a global, multicultural work environment with English as the working language, easing the transition for international hires.
The company provides relocation support and visa sponsorship for international candidates in many locations.
Barcelona is a major tech hub in Southern Europe, offering a strong quality of life and a growing ecosystem for engineers.

In their own words

About the company & team

Software and AI Labs (SAL) drives innovation across Keysight's global software engineering organization. The team focuses on accelerating developer productivity, modernizing engineering workflows, and ensuring secure, compliant adoption of emerging AI technologies.

You will join a cross-functional group working closely with Engineering, DevSecOps, IT, and Architecture teams worldwide. The culture is experimental, impact-driven, and focused on safe, scalable AI enablement across enterprise software development.