Principal AI/DS Platform Engineer / Architect

We are seeking a highly skilled Principal AI/DS Platform Engineer / Architect to lead the design and development of advanced AI/ML platforms for a healthcare client. This remote position, based in Pakistan, offers a competitive salary range of PKR 200,000 to 400,000 per month, depending on experience. The role requires working US time-zone hours and involves permanent employment following a two-month probation period. The successful candidate will have over eight years of experience in building and architecting production-level AI/ML systems, with strong expertise in AWS services, generative AI, large language models, and MLOps/LLMOps practices.

Key Responsibilities

- Lead the end-to-end architecture and design of scalable, secure, and production-ready AI/ML platforms using AWS technologies.
- Architect Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, hybrid search, and re-ranking mechanisms.
- Design and implement LLM gateways, guardrails, evaluation frameworks, and prompt management systems to ensure robust model governance.
- Build AI/ML solutions leveraging AWS Bedrock, SageMaker, EKS, Lambda, and S3.
- Develop and deploy statistical, predictive, and classical machine learning models, including forecasting and time-series analysis with feature engineering and validation.
- Establish and maintain MLOps and LLMOps pipelines for seamless model deployment, monitoring, and lifecycle management.
- Implement Infrastructure as Code (IaC) using Terraform or AWS Cloud Development Kit (CDK).
- Design and manage continuous integration and continuous deployment (CI/CD) pipelines to ensure efficient software delivery.
- Implement monitoring, observability, and performance tracking to maintain system health and optimize operations.
- Ensure cloud security by configuring IAM roles, VPCs, and access controls.
- Optimize infrastructure for performance, scalability, and cost-efficiency.
- Evaluate architectural decisions critically and justify technical trade-offs.
- Collaborate closely with engineering and data science teams to translate business requirements into effective technical solutions.

Required Qualifications

- Minimum of 8 years of hands-on experience in AI/ML engineering, platform architecture, or related fields.
- Proven track record in designing and deploying production-grade AI/ML platforms.
- Deep expertise in AWS services such as Bedrock, SageMaker, EKS, Lambda, S3, IAM, and VPC.
- Experience working with OpenSearch or Amazon Kendra for search and retrieval applications.
- Strong understanding of Generative AI, large language models (LLMs), RAG, embeddings, hybrid search, and re-ranking techniques.
- Familiarity with LLM evaluation methods, guardrails, prompt management, and model governance frameworks.
- Proficient in Python programming.
- Solid background in statistical modeling, predictive analytics, classical machine learning, forecasting, and time-series analysis.
- Hands-on experience with machine learning libraries and frameworks including Scikit-learn, XGBoost, and PyTorch.
- Knowledge of MLOps and LLMOps best practices, CI/CD pipelines, Infrastructure as Code tools (Terraform/CDK), observability, and financial operations (FinOps).
- Strong analytical and problem-solving skills with the ability to design complex architectures and clearly communicate technical decisions.
- Availability to work during US time-zone hours.

This role offers the opportunity to work on cutting-edge AI/ML technologies within a dynamic healthcare environment, contributing to impactful enterprise solutions. The position is fully remote, providing flexibility while requiring collaboration across global teams.