Data & AI Strategy Consultant in Bangalore, भारत

Role Overview :We are looking for experienced Data & AI professionals to drive strategy, consulting, architecture, and transformation initiatives for enterprise clients. The role will involve translating business objectives into scalable Data & AI strategies, designing AI-led solutions, and supporting transformation and deployment https://jobeax.com/link/YWeFbQYOXsffj75Z Responsibilities :- Develop and execute Data & AI strategies aligned with business objectives and transformation goals.- Engage with enterprise clients to understand business challenges and identify opportunities for Data & AI adoption.- Design scalable Data & AI architectures and solution frameworks for complex business requirements.- Define AI transformation roadmaps covering strategy, architecture, implementation, and deployment.- Identify opportunities to leverage AI, advanced analytics, and data platforms to drive business value.- Lead consulting engagements and provide strategic recommendations to senior stakeholders.- Develop solution approaches, prototypes, and architecture designs for AI-led transformation initiatives.- Work closely with data engineering, AI/ML, cloud, technology, and business teams to deliver transformation programs.- Support AI-native solution design and deployment across enterprise environments.- Evaluate emerging Data & AI technologies and recommend relevant solutions based on business needs.- Contribute to proposals, solution presentations, workshops, and client discussions.- Ensure Data & AI solutions are scalable, secure, and aligned with enterprise architecture https://jobeax.com/link/NvZatxrs2F0Jp4GZ Skills :- 5 - 10 years of experience in IT Consulting, Enterprise Architecture, Data & AI, Digital Transformation, or related domains.- Strong experience in developing and implementing AI Strategy and AI Transformation initiatives across enterprise environments.- Proven expertise in Data & AI Architecture, Enterprise Architecture, and solution design for complex business requirements.- Strong understanding of AI/ML, Generative AI, LLMs, NLP, Advanced Analytics, and modern data technologies.- Hands-on experience in designing end-to-end AI solutions and architectures across cloud and enterprise technology environments.- Strong knowledge of data architecture concepts, including Data Lakes, Lakehouses, Data Warehouses, Data Pipelines, Data Governance, and modern Data Platforms.- Experience working with major cloud platforms such as AWS, Azure, or GCP and leveraging cloud capabilities for AI and data solutions.- Strong understanding of AI/ML platforms, APIs, microservices, cloud-native technologies, system integration, and enterprise integration patterns. (ref:hirist.tech)