Available for opportunities

Hi, I'm Kyle Haggarty
Senior AI & Software Engineer

Over 11 years of experience engineering high-performance backend systems and data-intensive architectures. Specializing in production-grade agentic AI orchestration, reliable LLM workflows, and cloud automation.

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About

I am a Senior Software Engineer and Tech Lead with over 11 years' experience designing high-performance backend systems and cloud infrastructure. Currently, I specialize in the reliability, evaluation, and scaling of production-ready AI agent architectures.

At JPMorgan Chase & Co., I pioneered the adoption of modular AI agent patterns, context engineering, and deterministic evaluation frameworks, with evals running in CI/CD as a release gate, to build enterprise-grade workflows. Most recently, I led a cross-functional squad of 5+ engineers alongside security and compliance stakeholders to deliver GCP Privileged Access Management (PAM) and Just-In-Time (JIT) access into production, closing a firm-wide security mandate. My background blends deep financial systems experience (scaling real-time risk engines and data pipelines at Barclays and JPMorgan) with modern AI engineering practices, focused on security, compliance, and developer enablement.

Outside of professional systems engineering, I build open-source automation tools, competitively game, and golf.

Skills
AI Agent Orchestration (DAG) Human-in-the-Loop (HITL) Model Context Protocol (MCP) Evaluation Frameworks State Resume & Replays LLM Telemetry & Costing n8n Automation Pipelines Product Ownership Stakeholder Management Project Delivery Java (JVM) Python C# GoLang SQL & KQL Distributed Systems TDD / BDD AWS Azure GCP JIT/PAM Terraform & IaC Docker & K8s Git
Experience
Work History
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Aug 2022 — Present

Senior Software Engineer / Tech Lead

JPMorgan Chase & Co.
  • Led a cross-functional squad of 5+ engineers, security, and compliance stakeholders to deliver GCP and Azure Privileged Access Management (PAM) and Just-In-Time (JIT) access for Platform SRE teams globally, closing a firm-wide cloud security audit requirement.
  • Architected a global AWS Region Enablement framework using Terraform, cutting full region-enablement timelines from roughly 9 months to 2 months (a 72% reduction) and replacing hand-picked, per-environment dependencies with a single centrally managed configuration.
  • Built a Go/Python CLI adopted globally across engineering teams as the standard way to provision private cloud resources, replacing manual UI-driven workflows.
  • Pioneered a governance framework — evals, guardrails, deterministic checkpoints — for AI agents, skills, and workflows, now the central governance layer for a 300-person engineering organization; drove direct adoption of the underlying workflow across a ~25-person team, including demo sessions for the wider Cloud Infrastructure org.
  • Implemented Azure Privileged Access Management (PAM) for secure SRE workflows, escalating and resolving production defects directly with Microsoft TAMs to reach go-live.
Jul 2021 — Aug 2022

Software Engineer (Equities Market Risk)

JPMorgan Chase & Co.
  • Rescued and modernized a stale C#/.NET market risk platform that trading desks still relied on daily — fixing production defects, onboarding new portfolios, and migrating it off physical servers onto AWS (compute, storage, and UI hosting).
  • Served all Equities trading desks, calculating projected market risk across many client portfolios; independently verified and challenged Greeks, VaR, exposure, and correlation calculations nearly weekly — work typically owned by middle office and quant teams.
  • Provided L3 production support for the platform, resolving 200-300 support tickets over the course of the role.
Jan 2020 — Jun 2021

Technical Architect & Co-Founder

Stealth Startup (Asset Management)

Designed the high-level architecture and MVP for a sustainability-focused digital asset management platform. Established cloud-native infrastructure foundations including transactional storage, backend APIs, and isolated compute for portfolio valuation and risk modeling.

Apr 2019 — Jan 2020

Career Break

Sabbatical

Nine months of extended travel through Germany, Thailand, and South Korea.

Feb 2016 — Apr 2019

Backend Developer (Market Risk)

Barclays Investment Bank
  • Built a centralized C# deployment tool that replaced hand-picked, per-environment dependency configuration with a single declarative definition — deployable and rerunnable across 60+ distinct environments.
  • Engineered backend REST services for CCAR risk reporting and big-data ingestion pipelines into Hadoop clusters, supporting intraday risk runs across all major asset classes (ex-equities) across many curves, scenarios, and timelines.
  • Contributed to a spin-off stress-testing risk platform modeling 2008-crash-style market scenarios with large market-data swings, extending the firm's stress-testing risk calculation capability.
Sep 2014 — Feb 2016

Graduate Software Developer

Barclays Investment Bank
  • Enriched downstream trade data within a databases team, appending fields missing from upstream systems to close a gap that could otherwise let unauthorized trading go undetected.
  • Implemented Kerberos-based authentication in Java/Maven applications and authored SQL procedures for high-volume trade validation, reducing booking discrepancies.
Education & Credentials
Background
2011 — 2015

BSc Computer Science

University of Strathclyde

Focused on software engineering, distributed systems, and core computer science fundamentals.

Certifications

Professional Credentials

• AWS Certified Cloud Practitioner
• Agile Scrum Master (Level 2)
• Winner: Barclays OpenMinds Hackathon