// Consulting practice of Anne Maiale

Fractional engineering leadership for teams shipping AI products.

Fifteen years owning technical direction for customer-facing features, from AI assistants and agents to distributed data systems, and leading cross-functional teams from concept to production. Available for fractional, project, and advisory engagements.

// Services

How I can help

Engagements center on what I do best, shipping reliable AI and setting technical direction, plus the delivery work that makes it stick: modernization, testing, and infrastructure.

01

AI agent development

Design and ship customer-facing AI agents and assistants: tool-using agents, LLM-backed workflows, and the home-grown AI harnesses and evaluation frameworks that keep them dependable. I took a customer-facing AI assistant from architecture to a 98% session success rate at launch, and built an internal chatbot over usage and pricing data on Snowflake Cortex.

02

Fractional tech lead & architecture

Own technical direction alongside your product team: architecture decisions, system and data design, and leading cross-functional delivery from concept to production. For when you need senior technical judgment without a full-time hire.

03

Frontend development & modernization

Extensive experience building with modern frontend tools (React and well-chosen data stores), alongside years working in and migrating off AngularJS, Backbone, and CoffeeScript. I've led frontend rewrites end to end at Stitch and Nuix and mentored teams out of the knowledge silos that grow up around old code.

04

Test-driven development

Stand up a testing culture the team actually trusts: meaningful coverage, fast feedback, and a green build that means something. I established the test practice at Stitch and kept it load-bearing through a full frontend migration.

05

Infrastructure & deployment

Kubernetes, Helm, Terraform, and AWS. Move deployments off aging infrastructure and make releases boring. I migrated Stitch from AWS OpsWorks to Kubernetes, and at Amperity led a migration to Kubernetes resources and trained up the team.

06

Distributed systems & data pipelines

Kafka, Kubernetes, and cloud warehouses (Snowflake, BigQuery, Redshift). Redesign indexing and query strategy, cut compute spend, and parallelize pipelines that have stopped scaling.

// About

Anne Maiale

I'm a product-minded engineering leader with 15 years of experience owning technical direction for customer-facing features from concept through production. Most recently I was a Senior Software Engineer at Amperity, where I owned technical direction for AI agent and Profile API initiatives and led a customer-facing AI assistant from architecture to production.

My through-line is making the calls that matter (what to build, how to structure it, where data lives) and directing teams (and, increasingly, tools like Claude Code) to execute against them. Before that I spent seven years at Stitch, a developer-focused ELT platform, rising from Software Engineer to Principal and leading its Pipeline Monitoring feature end to end.

I hold a BA in Mathematics and German from Dickinson College and was a Fulbright Scholar in Germany.

  • Clojure
  • Elixir
  • Python
  • JavaScript
  • React
  • Phoenix
  • SQL
  • Kubernetes
  • Helm
  • Terraform
  • Kafka
  • AWS
  • Claude
  • Snowflake Cortex

// Track record

What this looks like in practice

  1. Dependable customer-facing AI

    Taking assistants and agents from architecture to production, with the home-grown harnesses and evaluation frameworks that keep them reliable once real users arrive. A recent account-investigation assistant hit a 98% session success rate at launch; an internal analytics chatbot runs on Snowflake Cortex.

  2. Data systems that keep scaling

    Redesigning indexing and query strategy for multi-criteria lookup, standing up Kafka / ksqlDB / Kafka Connect pipelines, and cutting spend where a product generates wasteful load. One warehouse workload dropped 60% in compute cost; a 100M-row benchmark load went from roughly ten hours to under one.

  3. Modernization that sticks

    Moving frontends off AngularJS, Backbone, and CoffeeScript onto React, and deployments off aging infrastructure onto Kubernetes, without the multi-year rewrite that never lands. The testing practice that makes the change safe usually gets built along the way.

  4. Technical direction a team can act on

    Owning the calls that shape delivery in partnership with product, then getting a cross-functional team (and, increasingly, tools like Claude Code) to execute against them. Fifteen years of it, including a run from engineer to Principal leading a product feature end to end.

// Availability

Ways to work together

Fractional

1–2 days / week

Embedded technical leadership for a product team on an ongoing basis: in the architecture, in the standups, accountable for delivery.

Project

Scoped outcome

A defined architecture, build, or migration with a clear finish line and a fixed window.

Advisory

Monthly retainer

Architecture review, technical strategy, and team mentorship on a light recurring cadence.

Currently booking engagements for Q4 2026. Rates on request.

// Contact

Tell me what you're building.

The fastest start is an email with a sentence or two about what you're building and where you're stuck. I reply within a couple of business days.

anne@ajmengineering.com

Also on LinkedIn.