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 enterprise-grade AI and machine learning platforms for a healthcare client. This remote role, based in Pakistan, involves working within US time zones and offers a competitive monthly salary ranging from PKR 200,000 to 400,000, depending on experience. The successful candidate will have over eight years of experience in architecting production-level AI/ML systems and will play a critical role in an upcoming advanced modeling project. This is a permanent position following a two-month probation period.

Key Responsibilities

- Lead the end-to-end architecture and design of scalable, secure, and production-ready AI/ML platforms on AWS.
- Design and implement Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, hybrid search, and re-ranking mechanisms.
- Develop LLM gateways, guardrails, evaluation frameworks, and prompt management systems to ensure robust and compliant AI operations.
- Build AI/ML solutions utilizing AWS services such as Bedrock, SageMaker, EKS, Lambda, and S3.
- Design and deploy statistical, predictive, and classical machine learning models, including forecasting and time-series analysis with comprehensive feature engineering and validation.
- Establish and maintain MLOps and LLMOps practices to support model deployment, monitoring, and lifecycle management.
- Implement Infrastructure as Code (IaC) using Terraform or AWS Cloud Development Kit (CDK).
- Design and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline development workflows.
- Implement monitoring, observability, and performance tracking solutions to ensure system reliability and efficiency.
- Ensure cloud security through effective use of IAM policies, VPC configurations, and access controls.
- Optimize infrastructure for performance, scalability, and cost-efficiency.
- Evaluate architectural decisions critically and justify technical trade-offs to stakeholders.
- Collaborate closely with engineering and data science teams to translate business requirements into scalable technical solutions.

Required Qualifications

- A minimum of 8 years of hands-on experience in AI/ML engineering, platform architecture, or related technical roles.
- Proven track record in designing and deploying production-grade AI/ML platforms.
- Deep expertise in AWS services including Bedrock, SageMaker, EKS, Lambda, S3, IAM, and VPC.
- Experience working with search technologies such as OpenSearch or Amazon Kendra.
- Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, hybrid search, and re-ranking techniques.
- Experience with LLM evaluation methods, guardrails, prompt management, and model governance frameworks.
- Proficiency 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 such as Scikit-learn, XGBoost, and PyTorch.
- Familiarity with MLOps and LLMOps best practices, CI/CD pipelines, Infrastructure as Code (Terraform/CDK), observability tools, and FinOps principles.
- Strong analytical and problem-solving skills with the ability to communicate complex technical concepts effectively.
- 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 projects that leverage advanced modeling techniques. The position provides a stable, permanent employment structure following the initial probation period, with a focus on innovation, collaboration, and technical excellence.