# Fidelity Investments — Principal, AI/ML Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-05-29 |
| **Company** | Fidelity Investments |
| **Role** | Principal, AI/ML Engineer |
| **Location** | Dublin, Ireland — Hybrid (frequency not stated) |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4420952368/ |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Boston, Massachusetts, USA |
| **Founded** | 1946 |
| **Employees** | 83,000+ globally; ~77,000 associates across US, Ireland, and India |
| **LinkedIn** | https://www.linkedin.com/company/fidelity-investments/ — 1.37M followers, 79,170 on LinkedIn |
| **Website** | https://www.fidelity.com |
| **Blog** | https://www.fidelity.com/learning-center/overview |

- **Product:** Privately held financial services giant offering investment management, retirement, brokerage, and wealth management services.
- **Customers:** Individual investors, families, employers, wealth management firms, and institutions; $15T AUA, $5.9T discretionary AUM (March 2025).
- **Notable:** One of the largest US financial services companies, privately held for 78 years by the Johnson family. Significant Dublin presence with a large engineering hub.

Indeed rating: not available (financial services sector)

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## Job Summary

**What they do:** Fidelity Investments is a privately held $15T AUA financial services firm offering investment, retirement, and wealth management products to individuals and institutions worldwide.

**The role:** Principal ML Engineer on the Workplace Investing AI Delivery Engineering Chapter — primarily focused on AI model deployment infrastructure, data pipelines, and API services.

**Core work:**
- Design and build AWS-based data pipelines and AI model hosting infrastructure (SageMaker, Bedrock, Step Functions)
- API development in Java/Spring Boot and/or Python for AI-powered services
- Partner with data scientists to automate manual processes and build personalisation use cases for Fidelity customers

**Stack:** Python · Java/Spring Boot · AWS (SageMaker · Bedrock · Lambda · Step Functions · EC2/EKS · S3 · RDS) · Snowflake · Airflow · CI/CD · MLOps

**Work style:** Dublin hybrid — frequency not stated; large enterprise office culture likely implies 2–3 days/week.

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## Score: 33%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 20% | Pure MLOps + data engineering + API infra. No agentic AI systems, LLM orchestration, or multi-agent architecture. AWS Bedrock mentioned as an infra component only. |
| Tech fit (25%) | 28% | Java/Spring Boot is the primary stack (7+ yrs required) — a clear gap. Python secondary. AWS MLOps overlaps. Zero LangChain/LangGraph/CrewAI/HuggingFace/Claude/PyTorch focus. |
| Remote fit (25%) | 45% | Dublin Hybrid, on-site frequency not stated. Given Fidelity's size and corporate culture, 2–3 days/week is probable — risks exceeding Luca's 1–2/month ceiling. |
| Company culture fit (15%) | 18% | Massive traditional financial services enterprise (83k+ employees, privately held since 1946). Heavy process, established hierarchy, not AI-native. |
| IC/leadership balance (10%) | 68% | "Lots of hands-on work" alongside peer mentoring and technical leadership — mixed IC+mentoring, not primarily management. |
| **Final (weighted)** | **33%** | **Below 40% threshold** |

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## Strengths

- AWS MLOps stack (SageMaker, Bedrock, Step Functions) has some overlap with Luca's cloud background
- "Principal" IC title with hands-on mandate — not a management role
- Fenergo alumni in the team (1 noted on LinkedIn) and 7 Bologna alumni at Fidelity — potential warm network

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## Weaknesses & Risks

- **Below threshold (33%)** — poor match overall; added for completeness
- Java/Spring Boot is the primary API stack — a significant gap; Luca is Python-only
- Zero agentic AI depth — no multi-agent systems, LLM orchestration, or autonomous pipelines; this is infrastructure/MLOps
- Massive traditional financial enterprise — the antithesis of Luca's preferred AI-native startup culture
- Hybrid frequency undisclosed — Fidelity's corporate culture makes 2–3 days/week likely, risking the location hard constraint
- Salary undisclosed — no signal on whether it meets the €110k floor
- The JD describes data engineering and model deployment, not advanced AI/ML research or building AI products

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## Suggestions

- Skip unless further research confirms truly remote-first hybrid (≤1 on-site/month) and salary ≥ €110k
- If engaging, strongly emphasise Luca's AWS and MLOps production track record (Fenergo pipeline, Claude Code), not agentic AI which isn't the role's focus
- Clarify hybrid expectations upfront — Dublin office frequency is the primary blocker

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |
| Rejected | 2026-05-29 | Low score / poor fit |