Senior AI Engineer - SDLC & Developer Productivity

Anite; Barcelona; On-site; EUR 90,000 - 120,000; Full time

Job summary

Keysight in Barcelona is seeking a Senior Applied AI Engineer to design and implement AI‑driven solutions that modernize Keysight’s Secure Software Development Lifecycle (SDLC) and empower enterprise software development.

You will evaluate emerging AI technologies, translate governance into engineering standards, and build scalable reference architectures across cloud, on‑prem, and hybrid environments. This role enhances developer productivity and software quality.

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.

Responsibilities

• 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.

Skills

AI technologies

Software engineering

DevSecOps

Security controls

Education

Bachelor's or Master's in CS/Engineering

Job description

Keysight in Barcelona is seeking a Senior Applied AI Engineer to design and implement AI‑driven solutions that modernize Keysight’s Secure Software Development Lifecycle (SDLC) and empower enterprise software development.

You will evaluate emerging AI technologies, translate governance into engineering standards, and build scalable reference architectures across cloud, on‑prem, and hybrid environments. This role enhances developer productivity and software quality.