GenAI Presales

Job Title: Presales Consultant – Generative AI on AWS Experience: Minimum 3 years Location: Bengaluru or Mumbai, India Job Summary Shellkode is seeking a dynamic and knowledgeable Presales Consultant specializing in Generative AI solutions on Amazon Web Services (AWS). The ideal candidate will possess a strong technical background in AI/ML, coupled with excellent communication and presentation skills, to effectively engage with clients and drive the adoption of our Generative AI offerings. Key Responsibilities Client Engagement: Collaborate with sales teams to understand customer requirements and provide expert guidance on Generative AI solutions. Solution Design: Design and deliver compelling Solution and SoW and demonstrations of our Generative AI offerings to both technical and non-technical audiences. Technical Expertise: Maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to build strong relationships with customers. Proposal Development: Develop custom solutions and proposals that meet client needs, showcasing the value of our Generative AI capabilities. Market Analysis: Stay abreast of industry trends and advancements in Generative AI to inform product roadmaps and enhance the customer experience. Qualifications Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related field. Experience: Minimum of 3 years in technical presales or solutions architecture, with a focus on AI/ML technologies. Technical Skills: Strong understanding of AWS Generative AI technologies and their application in business contexts. Familiarity with AWS AI platforms including Amazon SageMaker, Amazon Bedrock, and other AI/ML services. Communication Skills: Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. Problem-Solving: Proven ability to develop custom solutions and proposals that meet client needs. Team Collaboration: Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. Certifications: AWS Certified Solutions Architect or equivalent is a plus. Preferred Qualifications Experience with building, validating, and deploying Generative AI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as PyTorch, TensorFlow, JAX, or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and deployment. Experience in design, implementation, or consulting in applications and infrastructures. Additional Information Travel: Willingness to travel as needed to support sales efforts. Work Environment: Collaborative and innovative work culture with opportunities for continuous learning and career growth. Skills: ai/ml,jax,generative ai,pytorch,agents,sagemaker,amazon bedrock,presentation skills,mlops,project management,team collaboration,tensorflow,machine learning,mxnet,aws,bedrock,problem-solving,communication,amazon sagemaker,presentation,technical documentation,rag,proposal development,proposal generation,data analysis,solution design