Platform Lead / Architect – AI Platform Engineering

Hi,
Greetings from Modern Agile Technologies.

Position: Platform Lead / Architect – AI Platform Engineering

Location: 100% Remote

Duration: Contract & Full time

Summary

The Platform Lead / Architect will drive the overall technical architecture for AI platforms, backend services built using Python and FastAPI, integrations, mobile/web applications, and cloud-native systems. This role requires strong expertise in enterprise architecture, AI-enabled platforms, distributed systems, workflow automation, and scalable digital platform delivery.

Responsibilities

•       Lead architecture and technical design for Tulip AI and related digital platforms.

•       Design scalable, secure, and cloud-native solutions across AI, backend, frontend, and mobile ecosystems.

•       Architect and oversee backend services and APIs using Python and FastAPI.

•       Drive implementation of agentic AI capabilities, workflow orchestration, and intelligent automation.

•       Architect enterprise integrations with HR, IT, identity, operational, and third-party systems.

•       Define API, microservices, event-driven, and integration architecture standards.

•       Collaborate with product, engineering, UX, and business teams to align technical solutions with business goals.

•       Support product roadmap planning, backlog prioritization, and Agile delivery execution.

•       Lead engineering best practices for scalability, performance, security, monitoring, and reliability.

•       Drive adoption of AI-assisted engineering and automation practices.

•       Provide technical leadership, mentoring, and architectural governance across teams.

•       Support CI/CD, DevOps, Kubernetes, and cloud deployment strategies.

•       Ensure platform quality through testing, observability, monitoring, and production readiness practices.

Qualifications

Need to Have:

•       12+ years of experience in software engineering, platform architecture, or enterprise solution architecture.

•       Strong expertise in Python backend development and FastAPI-based microservices architecture.

•       Strong expertise in cloud-native architecture, distributed systems, and scalable enterprise platforms.

•       Experience with Generative AI, AI orchestration frameworks, workflow automation, and enterprise AI platforms.

•       Strong understanding of microservices, REST APIs, event-driven systems, and integration architecture.

•       Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

•       Expertise in DevOps, CI/CD pipelines, Kubernetes, containerization, and Infrastructure as Code (IaC).

•       Strong understanding of enterprise security, authentication, authorization, and secure API design.

•       Experience working with Agile delivery models and cross-functional teams.

•       Strong communication, stakeholder management, and technical leadership skills.