# AVEVA — Distinguished AI Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-05-21 |
| **Company** | AVEVA |
| **Role** | Distinguished AI Engineer |
| **Location** | Ireland, Remote (unverified — see risks) |
| **Salary** | Undisclosed |
| **Job URL** | [LinkedIn](https://www.linkedin.com/jobs/view/4374060425/) |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Cambridge, United Kingdom |
| **Founded** | 1967 |
| **Employees** | 5,000–10,000 (7,681 on LinkedIn) |
| **LinkedIn** | [company/aveva](https://www.linkedin.com/company/aveva/) — 381K followers |
| **Website** | [aveva.com](https://www.aveva.com) |
| **Blog** | [aveva.com/en/perspectives](https://www.aveva.com/en/perspectives/) (perspectives & newsroom) |

- **Product:** Industrial software for engineering and operations — AVEVA System Platform, E3D Design, PI System for industrial data management
- **Customers:** 90%+ of leading industrial companies in energy, infrastructure, chemicals, and minerals
- **Notable:** Acquired by Schneider Electric in January 2023 for ~$11B; now a wholly-owned subsidiary

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## Job Summary

**What they do:** Global industrial software company (90%+ of leading industrial companies as clients), now a Schneider Electric subsidiary. Key products: AVEVA System Platform, E3D Design, PI System.

**The role:** Distinguished AI Engineer in the AI Investigation and Incubation team — evaluating, prototyping, and validating emerging AI technologies.

**Core work:**
- Prototype and validate agent-based systems, foundation models, multimodal LLMs, and RAG solutions
- Lead proof-of-concept engineering and communicate findings to stakeholders
- Mentor junior team members and guide technical standards

**Stack:** Python · PyTorch · Azure · MLOps · foundation models · RAG · multimodal LLMs

**Work style:** Listed as Remote (Ireland) on LinkedIn — must verify; AVEVA company default is 3 days/week in office

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## Score: 58%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 50% | Agent-based systems and orchestration explicitly listed as a required paradigm, but the role covers AI broadly (world models, multimodal, RAG, agents) — not a dedicated agentic AI engineering position |
| Tech fit (25%) | 60% | Python ✅, PyTorch ✅, MLOps ✅, foundation models ✅. Missing: LangChain/LangGraph/CrewAI, Anthropic APIs. Azure preferred over AWS |
| Remote fit (25%) | 70% | LinkedIn explicitly tags the role Remote, but AVEVA's boilerplate says default is 3 days/week in office with some roles remote. Must verify before investing time |
| Company culture fit (15%) | 35% | Large industrial software enterprise — opposite of AI-native. "AI Investigation and Incubation" team is a good signal, but 6,500 employees across 40+ countries means process and bureaucracy |
| IC/leadership balance (10%) | 75% | "Hands-on engineering lead role" focused on prototyping and investigation. Mentoring junior members but no people management implied |
| **Final (weighted)** | **58%** | |

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## Strengths

- Hands-on IC incubation role — building POCs and prototypes, exactly what Luca enjoys
- Agent-based systems and orchestration explicitly required — partial agentic AI alignment
- 12+ years experience required — Luca's seniority fits perfectly
- Bologna alumni visible on LinkedIn → warm intro potential
- Multi-modal AI and RAG in scope — overlaps with Luca's cybersecurity and consulting experience
- Broad AI investigation mandate: freedom to explore emerging tech

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## Weaknesses & Risks

- **Remote policy ambiguous** — LinkedIn says Remote but AVEVA's standard is 3 days/week hybrid. Must confirm the Ireland role is truly remote before applying
- **Large enterprise** — 6,500+ employees, 40+ countries, drug screening and background checks → bureaucracy and slow decision-making likely
- **Not AI-native** — AVEVA is an industrial software company; AI is a capability, not the product
- **No agent framework specificity** — LangChain/LangGraph/CrewAI not mentioned; Azure preferred over AWS
- **Broad AI scope** — role covers agents, world models, multimodal, RAG. Agentic AI is not the singular focus
- **Salary undisclosed** — must confirm ≥ €110k early; large enterprise compensation varies widely
- Industrial/IoT domain experience listed as a requirement — Luca has no direct industrial background

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## Suggestions

- **Verify remote policy first** — before any application effort, confirm the Ireland position is genuinely remote. If it defaults to 3 days/week in-office, hard filter fails
- Position the Fenergo agentic document pipeline and cybersecurity multi-agent platform as direct evidence of the "agent-based systems and orchestration" requirement
- The incubation and prototyping framing is a strong angle — Luca's track record of POC → production maps well
- Frame the Bologna alumni connection for a warm intro via LinkedIn
- Ask directly in first contact: is the Ireland role fully remote, and what does the 3-days/week policy mean for this position?
- Confirm salary range early — large enterprises often have rigid bands

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |