About Client
A leading multinational IT services and consulting company specializing in digital
transformation, cloud solutions, and AI-driven innovation. With a strong global presence,
the company partners with enterprises across various industries to deliver cutting-edge
technology solutions.
Required Qualification
● 15+ years of technology leadership experience, with expertise in Pharma
commercial technology, SaaS platforms, and AI/GenAI solutions.
● 5+ years of architecture experience.
● ITIL
● Strong experience with Azure & GCP cloud-native architectures,
including microservices, API-led integration, and event driven design.
● Knowledge of enterprise architecture frameworks (TOGAF, Zachman) and
ability to operate in a federated model.
● Experience in FinOps and cloud cost optimization strategies.
● Azure Certifications (Must have)
Responsibilities
● Define the technical architecture strategy for Client Platforms
● Establish and govern reference architectures, best practices, and
technology standards across full-stack web applications, APIs,
microservices, and event-driven architectures.
● Ensure scalability, security, and high availability across all technology
platforms.
● Architect enterprise-scale data platforms, including data lakes, data mesh,
and real-time analytics solutions tailored for Pharma commercial data.
● Lead the strategy for GenAI/AI-enabled architectures, including LLMs, AI/ML
models, embedding AI into Pharma applications, and AI-driven insights for
HCP & patient engagement.
● Ensure scalability and reliability of AI and GenAI solutions.
● Factor in cost optimization from the ground up, to ensure long term
commercial scalability.
● Define cloud strategy across Azure & GCP, ensuring a hybrid,
multi-cloud, and edge computing approach.
● Oversee adoption of containerization (Kubernetes), serverless computing,
and API-first architectures.
● Drive cost optimization, resilience, and security best practices for cloud
infrastructure through FinOps principles.
● Act as a design authority, ensuring engineering teams adhere to
architectural principles, patterns, and technology roadmaps.
● Define technology enablement frameworks, providing reusable
components, APIs, and cloud automation to accelerate software
development.
● Partner with Enterprise Architecture to ensure alignment with business
strategy and technology governance in a federated model.
● Establish a decentralized but standardized architecture model,
● enabling domain-driven design while ensuring reusability and
Interoperability.
● Define technology roadmaps, balancing global consistency with localized
business needs.
● Lead a high-performing team of architects across application, data, cloud,
and AI domains.
● Partner with Product, Engineering, and Business Leaders to align
technology with Pharma commercial strategy and product roadmaps.
● Act as a trusted advisor to C-level executives, translating technical vision
into business impact.
● Collaborate with cross-functional teams to define AI and GenAI project
requirements, ensuring successful implementation.
● Work closely with senior leadership to communicate the value and impact
of AI and GenAI architecture strategies.
Preferred Qualifications
● Azure Certifications
● Google Cloud Certification