Senior AI Implementation Technical Lead

Proactive Technology Management•Detroit, MI

3d•$90,000 - $110,000

About The Position

This is a hands-on engineering role with client-facing responsibility. The role takes approved client projects from idea to production software, working through both well-defined projects and ambiguous situations involving messy data, unclear system boundaries, changing requirements, or legacy environments. The engineer is expected to learn tools quickly, take ownership, and communicate practical technical solutions clearly. The role builds web applications, APIs, backend services, AI-enabled workflows, and integrations with client databases, file systems, business applications, and APIs. It also involves deploying secure, reliable solutions in Azure; configuring logging, monitoring, authentication, and environments; collaborating with another engineer on planning and implementation; and participating in client technical meetings, demos, and architecture discussions. The position helps estimate work, break projects into milestones, and document solutions for post-launch support. The role begins after the Discovery team has completed the upstream discovery process; it does not own full discovery or executive workshops. Example work includes internal-document AI assistants, document intake and extraction, workflow automation, dashboards and internal portals, human-reviewed AI processes, data pipelines, and custom applications connecting multiple systems. The goal is to deliver practical technology that saves time, reduces errors, improves visibility, or creates measurable business value. PTM is Azure-first, with a common stack spanning Python, FastAPI, Pydantic, ASP.NET Core, C#, React, TypeScript, Azure services, AI platforms, infrastructure-as-code tools, databases, monitoring, and identity providers. Deep experience with every listed tool is not expected; strong engineering fundamentals in backend development, cloud applications, APIs, databases, and modern software delivery are more important. The role is expected to lead technical builds on several client implementation projects, deliver against agreed milestones, communicate clearly, identify risks early, produce documentation and handoff materials, and help improve reusable implementation patterns. Projects generally include another engineer, Discovery team support, and technical-leadership review, while the role retains ownership of its work and delivery.

Requirements

At least 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.
Ability to build and deploy production software and work across backend, frontend, cloud, and data as needed.
Ability to learn new tools quickly, turn a project plan into an engineering plan, and break large problems into smaller deliverables.
Ability to write clean, maintainable code and communicate technical decisions clearly.
Ability to work with another engineer without constant direction and handle client technical conversations professionally.
Ability to stay calm when requirements are imperfect or systems are messy, take ownership, and move work forward without being told every next step.
Azure experience is preferred; equivalent AWS or GCP experience is acceptable if willing to learn Azure quickly.

Nice To Haves

Experience with Azure Container Apps, Azure Functions, Azure Static Web Apps, or Key Vault.
Experience with FastAPI, Pydantic, or ASP.NET Core.
Experience with React and TypeScript.
AI application development or LLM-based tools experience.
Experience with OpenAI, Azure AI Foundry, Anthropic, or similar platforms.
Document processing, OCR, or data extraction experience.
Workflow automation, RPA, or low-code tools experience.
Infrastructure as Code experience with Bicep, Terraform, or similar.
Observability experience with Application Insights, Azure Monitor, OpenTelemetry, or structured logging.
Experience in healthcare, insurance, finance, manufacturing, logistics, or another complex industry.
HIPAA, compliance, privacy, or regulated-data experience.
Healthcare experience (a bonus, not a requirement).

Responsibilities

Build and deploy production web applications, APIs, backend services, and AI-enabled workflows.
Integrate solutions with client databases, file systems, business applications, and APIs.
Build AI tools to automate manual work.
Create secure, reliable deployments in Azure.
Set up logging, monitoring, authentication, and environment configuration.
Plan and build features with another engineer.
Join technical client meetings, demonstrations, and architecture discussions.
Help estimate work and break projects into clear milestones.
Document completed work so the client and PTM team can support it after launch.
Turn approved project roadmaps into working software and ship useful features against agreed milestones.
Lead the technical build on several client implementation projects.
Deploy solutions into client Azure environments.
Identify risks early and raise them before they become major issues.
Create documentation and handoff materials.
Help improve PTM’s reusable implementation patterns.