Senior AI Implementation Technical Lead

Hands-On Engineering Role With Client-Facing Responsibility

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.

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.

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.

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, Type Script, 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, Git Hub Actions, Docker
• Data:
  Azure SQL, Dataverse, Microsoft Fabric, Azure AI Search, PostgreSQL
• Monitoring:
  Azure Monitor, Application Insights, Log Analytics, structured logging
• Identity:
  Microsoft Entra , 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.

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.