Senior AI Implementation Technical Lead

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 another engineer, support from the Discovery team, and review from technical leadership. But you are expected to own your work and drive toward delivery.

Benefits

Possibility of contract-to-hire

• Full Medical Benefits
• 2 Weeks Paid Vacation
• Full Time
• Dental & vision insurance
• 401(k) matching