Project Role Description: Support at the intersection of technical depth and client engagement, owning the end-to-end design of cloud-native and AI-powered solutions for mid-to-large transformation engagements. Operating with greater autonomy than a senior architect, this role leads pursuit teams, shapes proposals, and translates complex requirements into compelling, commercially grounded solution narratives — while remaining hands-on in validating architecture decisions.

Key Responsibilities:

Lead solution architecture for cloud-native and AI engagements in the $3M–$20M range — from discovery through proposal, orals, and transition-to-delivery — with Director oversight on larger bids.
Support and contribute to application modernisation initiatives including microservices decomposition, API-led integration, event-driven architectures, and serverless patterns.
Architect multi-cloud and hybrid solutions leveraging platform-native AI services (SageMaker, Azure AI Foundry, Vertex AI) and open-source frameworks.
Define and validate non-functional requirements — security, resilience,



observability, cost optimisation, and responsible AI/governance — across proposed solutions.
Engage client technical stakeholders (architects, engineering leads, CTOs) to build credibility, uncover requirements, and co-shape solution vision.
Produce high-quality proposal artefacts including solution overviews, architecture diagrams, technical sections of RFP responses, and executive summaries.
Mentor and guide senior and mid-level architects within the practice; contribute to reusable assets, accelerators, and thought leadership.
Coordinate with delivery leads and practice principals to ensure smooth handover from pre-sales to delivery.

Technical Experience:

Deep expertise across AWS, Microsoft Azure, and Google Cloud Platform—services, pricing, well-architected frameworks, and partner programs

Cloud-native architecture: Kubernetes (EKS, AKS, GKE), containerisation (Docker), service mesh

📌 RIS AI Architect Associate Director (Mumbai)
🏢 Accenture in India
📍 Mumbai