Providing strategic and technology advisory leadership across AI strategy, transformation and transaction engagements.
Responsibilities
Advising clients on AI target architectures and evaluating architectural options against business objectives, value creation opportunities, investment constraints and risk considerations
Structure ambiguous client problems into hypotheses, analyses and actionable recommendations
Designing end-to-end AI target architectures spanning data foundations, models, orchestration, integration, security, enterprise systems and the operating model required to run them
Assessing AI, technology and data maturity of enterprises including the credibility of data/AI claims, the durability of application landscape, infrastructure and data to scale AI in a enterprise context and translating findings into executive recommendations, investment priorities and transformation roadmaps
Defining AI solutions for targeted use cases or complex AI products that span across value streams that are underpinned by existing enterprise IT & data landscapes, including prioritisation of use cases based on value, feasibility, scalability and strategic relevance
Requirements
Masters degree or equivalent in Computer Science, Engineering, Mathematics, Data Science or related analytical discipline from a reputable university
Nice to have: Technology, digital or AI diligence engagements
Nice to have: Evaluating AI-enabled products, software businesses, data assets or technology-led investment theses
Nice to have: Sector expertise in Media
Nice to have: Sector expertise in Retail & Consumer Products
AI Engineer at Thoughtworks applying deep knowledge of AI engineering, foundation models, context engineering, retrieval architectures, agentic systems and LLMOps to design, build and operationalize enterprise AI solutions.
Locations (4)
Bangalore, India
Chennai, Tamil Nadu, India
Hyderabad, Telangana, India
Pune, Maharashtra, India
Responsibilities
Collaborate with stakeholders to understand strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning
Responsible for overall AI system design, problem framing and governance, identifying and managing risks and issues
