GenAI Solution Associate

About the Role

Role Summary The GenAI Solution Research Associate will be responsible for exploring, researching, and mapping the capabilities of hyperscalers along with OEM partners . The primary objective is to identify and recommend industry-focused GenAI solutions that can be built by leveraging this ecosystem.

The role demands a blend of technical research, solution ideation, and business alignment , enabling enterprise-ready GenAI adoption.

Responsibilities

• Research and document the latest GenAI capabilities of hyperscalers (AWS Bedrock, Azure OpenAI, GCP Vertex AI, OpenAI APIs). • Evaluate and analyze OEM offerings (e.g., NVIDIA GPUs/NeMo, Dell infrastructure, IBM Watsonx) for GenAI enablement. • Identify industry-focused GenAI solution opportunities (e.g., BFSI, Healthcare, Retail, Manufacturing, Telecom) that can be built using hyperscaler + OEM capabilities. • Build comparative assessments, capability maps, and solution blueprints to guide business and engineering teams. • Collaborate with solution architects, product managers, and business teams to align findings with enterprise needs and go-to-market priorities . • Track emerging trends in GenAI frameworks, cloud-native AI platforms, and partner ecosystems to ensure continuous innovation.

Qualifications

• • MBA & Bachelor of Engineering (BE) in Computer Science, Information Technology, or related field. • 2–6 years of experience in AI/ML engineering, or GenAI solution research/delivery . • Familiarity with hyperscaler AI services (AWS Bedrock/SageMaker, Azure OpenAI/ML Studio, GCP Vertex AI, OpenAI APIs) and OEM GenAI technologies (NVIDIA NeMo, Dell APEX, IBM Watsonx, etc.). • Strong analytical, research, and documentation skills to translate technical capabilities into business-relevant solution opportunities . • Good understanding of GenAI concepts : LLMs, RAG pipelines, embeddings, vector databases, and agentic AI.
• Expected Impact • Deliver clear recommendations and industry solution ideas by analyzing hyperscaler and partner ecosystems. • Accelerate IFRS GenAI strategy by shaping a pipeline of feasible, scalable, and industry-aligned AI use cases . • Provide the technical and business teams with validated artefacts, comparative analyses, and strategic insights for solution development. • Strengthen enterprise adoption of GenAI by bridging technology capabilities with industry requirements .
• Skills • Hyperscaler AI Platforms, GenAI Concepts: Prompt Engineering, Agentic AI, RAG Pipelines, Vector Databases, Solution Research & Comparative Analysis, Technical Documentation & Presentation