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The Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client’s technology infrastructure.
Job Responsibility:
Participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components
Collaborating with other stakeholders on the development of the architectural approach for one or more layer of a solution
Ability and experience to have conversations with the CEO, Business owners and CTO/CDO
Break down intricate business challenges, devise effective solutions, and focus on client needs
Craft high level innovative solution approach for complex business problems
Utilize best practices and creativity to address challenges
Leverage market research, formulate perspectives, and communicate insights to clients
Establish strong client relationships
Interact at appropriate levels to ensure client satisfaction
Requirements:
BE/BTech or equivalent in Information Technology and/or Business Management or a related field
12-15 years of experience
Seasoned demonstrable experience in a similar role within a large scale (preferably multi-national) technology services environment
Very good understanding of Data, AI, Gen AI and Agentic AI
Must have Data Architecture and Solutioning experience
Capable of E2E Data Architecture and GenAI Solution design
Must be able to work on Data & AI RFP responses as Solution Architect
10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect
Develop Cloud-native technical approach and proposal plans
Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools
Experience with large scale consulting and program execution engagements in AI and data