Lead AI Forward Deployed Engineer, Italian Speaking
Salary not listed • Italy - Milan • Full-time
Posted 19d ago
Job Location
Italy - Milan
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
Salesforce is seeking experienced Forward Deployed Engineers to design, build, and deploy complex agentic AI solutions within enterprise customer environments. In this role, you will lead technical delivery, mentor other engineers, and establish engineering standards for deploying agentic AI at scale. You will collaborate closely with a Deployment Strategist to manage projects from architectural decisions to production, ensuring high-quality software that addresses real-world problems using best-in-class AI tools.
Responsibilities
- Own the end-to-end build and deployment of agentic AI solutions for strategic customers, from architecture to production.
- Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, and enterprise-grade integration patterns.
- Manage the data lifecycle for AI applications, including model design, processing pipelines, and data readiness across various platforms.
- Resolve complex technical blockers related to data integration, model deployment, orchestration, and performance.
- Build and maintain agent performance dashboards and customer KPI reporting.
- Develop proofs-of-concept and MVPs rapidly, with sound judgment on deferrable decisions.
- Codify learnings into reusable assets, frameworks, and playbooks for the organization.
- Mentor other engineers through code reviews, pair sessions, and collaborative work.
- Provide senior engineering judgment on at-risk or critical deployments.
- Surface field insights to Product and Engineering teams to influence the Agentforce roadmap.
- Translate complex customer business challenges into deployable agentic solutions in partnership with Deployment Strategists.
Requirements
- 6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS.
- Degree in Computer Science or a related field.
- Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and familiarity with others.
- Experience integrating LLMs into production, using frameworks like LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices.
- Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.
- Deep Salesforce platform expertise, including Agentforce, Apex, LWC, Flows, and Salesforce APIs.
- Entrepreneurial, get-things-done mindset with a focus on fast, impactful delivery and sound judgment.
- Experience mentoring technical talent and creating reusable assets (frameworks, playbooks, tooling).
- Clear and credible communication with engineering peers, customer architects, and executive stakeholders.
- Active engagement with the evolving AI/data landscape.