Neurons Lab is looking for a Solutions Architect (SA), who will be the Subject Matter Expert (SME) for helping Conversation AI solutions that leverage AWS AI/ML services. As part of the team, you will work closely with customers in different industries (HealthTech, EnergyTech, RetailTech, FinTech, etc.) to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for the AI/ML platforms.

• Partner with the sales team to design solutions for customers and drive Conversational AI and AWS projects.
• Architecting, building, and maintaining cost-efficient, scalable cloud environments for customers.
• Understanding the business objectives of the customer and creating cloud-based solutions to facilitate those objectives.
• Conducts Well-Architected Reviews and audits customer AWS Accounts
• Participate in the SOW creation process along with the Sales team, Delivery Manager, and engineers
• Conducts customer-facing architecture assessment meetings to gather business and technical requirements, aligns those cloud best practices, architect a solution and, write Epics and User Stories in collaboration with the Team
• Participates in internal and external projects Stand-Ups as a Product Owner from the project’s inception to completion
• Support quality development practices and pursue new and better ways to build and deploy software and ML/AI models

Skills

• Practical hands-on experience with industry-leading ML services/products (e.g., AWS AI/ML services)
• Practical hands-on experience in Conversational AI (ChatBot, Digital Avatars, Virtual Assistants, QnABot, Call Center solutions)
• Practical hands-on experience with building an intelligent search solution with automated content enrichment (Amazon CloudSearch, Amazon Kendra, etc)
• AWS Machine Learning Platforms such as Amazon SageMaker for data scientists
• AWS API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, and AWS Connect
• One or more AWS certifications, preferably. AWS Solutions Architect Professional or AWS Certified Machine Learning – Specialty
• Collaborative, consultative, and committed to continuous improvement and learning in a team-based environment
• Excellent interpersonal communication skills to explain complex technical topics in an easily comprehensible manner
• Ability to manage competing priorities, while remaining focused on the customer’s needs and meeting agreed-upon deliverables
• Customer-focused, analytical, detail-oriented, and a positive “can-do” attitude

Knowledge

• AWS Certified Solutions Architect Professional.
• Azure and GCP knowledge and certification are big pluses.

Experience

• 5+ years in IT

• Scientific or engineering challenges
• Work with disruptive deep-tech startups
• Work with rock stars (senior-level engineers, Ph.D.)
• Meaningful social and environmental projects
• Transparent, professional growth plan depending on your impact
• Remote work from any location
• Flexible working hours
• Unpaid unlimited personal time off
• Regular Team Building & company-wide team events