Job Description

We are looking for an Architect who can independently define and drive solution architecture for business applications and digital products, with increasing adoption of AI‑enabled capabilities. This role requires someone who can interpret leadership vision, determine the right technical path forward, and translate it into clear, executable specifications for engineering teams—while also making architectural decisions and trade‑offs understandable to senior stakeholders.

Responsibilities:

• Own and drive solution architecture for complex business applications and product platforms.
• Translate business vision and platform strategy into target architectures, system designs, and technical roadmaps.
• Define application, integration, and data architectures, including non‑functional requirements such as scalability, security, reliability, and performance.
• Collaborate closely with Product Owners, Engineering Leads, UX, QA, and Data teams to ensure alignment from design through delivery.
• Provide architectural guidance for AI‑enabled features, including appropriate use of AI/ML or Generative AI in business applications.
• Design and govern cloud‑native solutions using modern cloud platforms and services.
• Create clear architectural artifacts (design documents, diagrams, specifications) that enable teams to execute with minimal ambiguity.
• Act as a bridge between leadership and delivery teams, clearly explaining architectural choices, risks, and trade‑offs.
• Identify technical risks, dependencies, and constraints early and drive mitigation strategies.

Qualifications:

• 11–16 years of experience in software engineering and architecture roles.
• Strong experience architecting business applications or digital products (beyond pure infrastructure roles).
• Proven ability to work independently, take ownership, and drive architectural decisions with minimal guidance.
• Solid experience designing and delivering solutions on cloud platforms (Azure/AWS/GCP).
• Strong understanding of modern architectures: microservices, APIs, event‑driven systems, and data platforms.
• Working knowledge of AI/ML or Generative AI concepts, including how models are integrated into applications and their limitations.
• Strong communication and documentation skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
• Exposure to Supply Chain, Distribution, Manufacturing, or Enterprise Operations domains.
• Experience working in large, multi‑team enterprise environments.
• Prior experience presenting architecture and design decisions to senior leadership
• Familiarity with enterprise security, compliance, and governance practices.
• An architect who can connect business intent to technical execution
• Someone comfortable operating in ambiguity and bringing clarity and structure to complex problems.
• A pragmatic thinker who balances speed of delivery with long‑term maintainability and scalability

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