Senior AI Implementation Technical Lead

About this role

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.
Requirements
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…