AI Architect

Photon is seeking an experienced Platform Lead/ Architect to lead the design, architecture, and continuous evolution of an AI-powered employee support platform.

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 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.
• Define and enforce AI governance, guardrails, and risk controls (hallucination mitigation, grounding validation, policy enforcement)
• Implement policy-based control systems (OPA/OPAL or similar) across AI workflows and APIs

Qualifications

Must 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 GCP.
• 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.
• Experience with AI safety, guardrails, prompt validation, and policy enforcement frameworks