Technical Architect – AI & Platform Engineering

Role overview
We are looking for a hands-on Technical Architect to own the technology architecture for a large-scale digital platform programme with our client. The role combines solution design, AI/ML architecture, and technical governance across engineering and client stakeholder teams.

Key responsibilities

• Own end-to-end solution architecture — application, data, integration, and infrastructure layers — for platform builds and modernisation programmes.
• Design and guide implementation of AI/ML capabilities: LLM-based solutions, RAG pipelines, agentic workflows, model integration, prompt and evaluation frameworks.
• Define architecture standards, reference patterns, and non-functional requirements (scalability, security, performance, cost).
• Lead technical discovery with client stakeholders; translate business problems into architecture blueprints, effort estimates, and delivery roadmaps.
• Evaluate and select platforms, frameworks, and third-party tools; own build-vs-buy recommendations.
• Provide technical leadership to engineering teams through design reviews, code governance, and mentoring.
• Own data architecture and governance in coordination with security and compliance teams.
• Act as the senior technical authority in client-facing forums, including steering committee and CXO-level discussions.

Must-have skills

• 10+ years in software engineering, with at least 3–4 years in an architect capacity.
• Proven architecture ownership on at least two large enterprise or platform-scale programmes.
• Strong depth in cloud (AWS / Azure / GCP), microservices, APIs, and event-driven architecture.
• Practical, production-level experience with AI/ML and GenAI stacks — model integration, vector databases, orchestration frameworks (LangChain/LlamaIndex or equivalent), MLOps.
• Solid grounding in data engineering: pipelines, warehousing, real-time and batch processing.
• Security, identity, and compliance-aware design (data privacy, access control, audit).
• Excellent client-facing communication; able to defend architecture decisions to both technical and business audiences.

Good to have

• Prior experience in a consulting, Big 4, or systems integrator environment.
• Cloud architect certification (AWS SA Pro, Azure Solutions Architect Expert, or GCP Professional Architect).
• Exposure to education technology, learning platforms, or large content-delivery systems.

Qualification: B.E./B.Tech/MCA or equivalent; postgraduate qualification an advantage.

Pay: ₹689,775.61 - ₹1,896,020.98 per year

Work Location: In person