AI/ML Architect

What is the project, and why should you care?

As an AI/ML Architect, you will be part of a unique Data and AI service line with a specific focus on delivering data engineering and AI solutions across various projects. Furthermore, you will be responsible for leading a team of 2-3 engineers focused on designing and implementing AI solutions, Python-based data-processing services, and ETL pipelines. You can work in various fields, such as Computer Vision (CV), Natural Language Processing (NLP), Large Language Models (LLMs), Recommendation Systems, conversational AI, chatbots, vector databases, and other API-based process automation projects. Leveraging your technical expertise in the AI and Data space, you can take full ownership of delivering projects and leading the engineering teams.

You will be an excellent fit for this position if you have:

• A bachelor’s degree in Computer Science, Information Technology, or a related field
• Multiple years of experience developing data or AI solutions, preferably in an AWS cloud environment
• Experience with some of the following technologies: SageMaker, Bedrock, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, and ElasticSearch
• Strong proficiency in Python and experience with relevant frameworks and libraries, such as pandas, pyspark, numpy, sklearn, matplotlib, etc.
• Familiarity with SQL
• Knowledge of some cloud platforms (e.g., AWS, Azure, GCP) and their services
• Familiarity with AI/ML technologies (e.g., Computer Vision, NLP, anomaly detection)
• Understanding AI tools and concepts like LLMs, ChatGPT, RAG, etc.
• Excellent problem-solving and communication skills
• Strong communication and collaboration skills with the ability to work effectively in a team environment
• AWS Professional/Specialty Certification is preferred
• Excellent English communication (C1 or higher)  and presentation skills 
• Proven experience as a Presales Solution Architect or similar role, with a focus on AWS
• Ability to translate complex technical concepts into clear and concise language
• Strong problem-solving and analytical skills
• Customer-focused mindset

Here are some of the things you’ll be working on:

• Led a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in the AWS cloud
• Provide mentoring and technical support to junior and medium teammates
• Act as a trusted advisor to clients
• Develop highly scalable services realizing AI/ML functionalities (e.g., NLP, M, L, and AI models)
• Implement various machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks
• Design and implement data transformation services for various use cases, such as automatic translation and transcription, Text2SQL, and intent and gesture recognition
• Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources
• Use AWS cloud to implement AI/ML solutions (e.g., Bedrock, Sagemaker, Lambda, Textract)
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team
• Describing infrastructures using Terraform (Terragrunt) or AWS CloudFormation
• Designing, building, and maintaining CI/CD pipelines in multiple integration and test environments
• Staying up-to-date with AWS innovations and achieving Professional/Specialty level certifications based on personal interest
• Contributing to AWS Competency and Service Delivery Program to support SnapSoft’s AWS Partner journey