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Senior AI Implementation Technical Lead

Proactive Technology Management

Detroit, MI · Posted November 11, 2026

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Skills this job asks for

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  • Python
  • Logistics
  • AWS
  • SQL
  • Azure

About the job

What This Role Is

This is a hands-on engineering role with client-facing responsibility.

You should enjoy writing code, solving technical problems, and working through ambiguity. Some projects will be clean and well-defined. Others will involve messy data, unclear system boundaries, changing requirements, or legacy client environments.

The right person can stay practical, communicate clearly, and keep moving toward a working solution.

You do not need to know every tool in our stack on day one. You do need to be a strong engineer who can learn quickly and take ownership.

What You Will Do

You will help take approved client projects from idea to working production software.

Your work may include:

Building web applications, APIs, backend services, and AI-enabled workflows

Integrating with client databases, file systems, business applications, and APIs

Building AI tools that help automate manual work

Creating secure, reliable deployments in Azure

Setting up logging, monitoring, authentication, and environment configuration

Working with another engineer to plan and build features

Joining technical client meetings, demos, and architecture discussions

Helping estimate work and break projects into clear milestones

Documenting what was built so the client and PTM team can support it after launch

You will not be responsible for running the full discovery process or leading executive workshops. Our Discovery team handles that upstream. Your role begins when the client is ready to build.

Example Projects You Might Work On

You may help build solutions such as:

An AI assistant that helps staff search internal documents or policies

A document intake process that extracts information from PDFs, emails, or forms

A workflow automation tool that reduces manual approvals or handoffs

A dashboard or internal portal connected to client systems

An AI-powered review process with human approval before final action

A data pipeline that moves, cleans, or prepares information for reporting or automation

A custom application that connects multiple systems into one usable workflow

The goal is always the same: build practical technology that saves time, reduces errors, improves visibility, or creates measurable business value.

The Stack We Commonly Use

PTM is Azure-first, but we care more about strong engineering ability than exact tool matching.

Our common stack includes:

Backend: Python, FastAPI, Pydantic, ASP.NET Core, C#

Frontend: React, TypeScript, Vite, Azure Static Web Apps

Cloud: Azure Container Apps, Azure Functions, Azure SQL, Key Vault, Azure Storage

AI: Azure AI Foundry, OpenAI, Anthropic, agent-based workflows, structured AI outputs

Infrastructure: Bicep, Azure Developer CLI, GitHub Actions, Docker

Data: Azure SQL, Dataverse, Microsoft Fabric, Azure AI Search, PostgreSQL

Monitoring: Azure Monitor, Application Insights, Log Analytics, structured logging

Identity: Microsoft Entra ID, Auth0, Okta, Google Workspace, generic OIDC

You do not need deep experience in every item above. Strong experience in backend development, cloud applications, APIs, databases, and modern software delivery is more important.

What We Are Looking For

We are looking for a smart, hard-working engineer who can build reliable software and work well in client environments.

You are probably a strong fit if you can:

Build and deploy production software

Work across backend, frontend, cloud, and data as needed

Learn new tools quickly

Read a project plan and turn it into an engineering plan

Break large problems into smaller deliverables

Write clean, maintainable code

Communicate technical decisions clearly

Work with another engineer without needing constant direction

Handle client technical conversations professionally

Stay calm when requirements are imperfect or systems are messy

This role requires ownership. We are looking for someone who does not wait to be told every next step.

We are looking for most of the following:

4+ years of professional software engineering experience

Strong backend development experience in Python, C#, or a similar language

Experience building APIs, services, or full-stack applications

Experience with relational databases such as SQL Server, Azure SQL, PostgreSQL, or similar

Experience deploying applications to a cloud platform

Comfort using Git, pull requests, CI/CD, and modern development workflows

Ability to troubleshoot production issues

Ability to work directly with technical and non-technical stakeholders

Strong written and verbal communication skills

US work authorization

Azure experience is strongly preferred, but equivalent AWS or GCP experience is acceptable if you are willing to learn Azure quickly.

Nice to Have

These are helpful, but not required:

Azure Container Apps, Azure Functions, Azure Static Web Apps, or Key Vault

FastAPI, Pydantic, or ASP.NET Core

React and TypeScript

AI application development or LLM-based tools

OpenAI, Azure AI Foundry, Anthropic, or similar platforms

Document processing, OCR, or data extraction

Workflow automation, RPA, or low-code tools

Infrastructure as Code experience with Bicep, Terraform, or similar

Observability experience with Application Insights, Azure Monitor, OpenTelemetry, or structured logging

Healthcare, insurance, finance, manufacturing, logistics, or other complex industry experience

HIPAA, compliance, privacy, or regulated data experience

Healthcare experience is a bonus, not a requirement.

What Success Looks Like

In your first year, success means you are able to:

Lead the technical build on several client implementation projects

Turn approved project roadmaps into working software

Ship useful features against agreed milestones

Deploy solutions into client Azure environments

Communicate clearly with clients and internal teams

Identify risks early and raise them before they become major issues

Create clean documentation and handoff materials

Help improve PTM’s reusable implementation patterns

You will not be alone. Most projects include another engineer, support from the Discovery team, and review from technical leadership. But you are expected to own your work and drive toward delivery.

Possibility of contract-to-hire

Full Medical Benefits

2 Weeks Paid Vacation

Full Time

Dental & vision insurance

401(k) matching