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 role involves working on advanced modeling projects and requires deep expertise in AWS AI/ML services, Generative AI, Large Language Models (LLMs), and MLOps/LLMOps practices. The successful candidate will have over eight years of experience in architecting production-level systems, with a strong ability to independently make and justify architectural decisions. This is a remote position based in Pakistan, aligned with US time zone working hours, and offers a competitive salary range of PKR 200,000 to 400,000 per month, depending on experience. Employment will be permanent 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 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.
- Build AI/ML solutions leveraging AWS Bedrock, SageMaker, EKS, Lambda, and S3.
- Develop and deploy statistical, predictive, and classical machine learning models.
- Create forecasting and time-series models with comprehensive feature engineering and model validation.
- Establish and maintain MLOps and LLMOps pipelines for model deployment, monitoring, and lifecycle management.
- Implement Infrastructure as Code using Terraform or AWS Cloud Development Kit (CDK).
- Design and maintain continuous integration and continuous deployment (CI/CD) pipelines.
- Ensure robust monitoring, observability, and performance tracking of AI/ML systems.
- Enforce cloud security best practices through IAM, VPC configurations, and access control policies.
- Optimize infrastructure for performance, scalability, and cost-efficiency.
- Evaluate architectural decisions critically and communicate technical trade-offs effectively.
- Collaborate closely with engineering and data science teams to translate business requirements into technical solutions.

Required Qualifications

- Minimum of 8 years’ hands-on experience in AI/ML engineering, platform architecture, or related roles.
- Proven track record in designing and deploying production-grade AI/ML platforms.
- Strong expertise in AWS services including Bedrock, SageMaker, EKS, Lambda, S3, IAM, and VPC.
- Experience with search technologies such as OpenSearch or Amazon Kendra.
- In-depth knowledge of Generative AI, LLMs, RAG, embeddings, hybrid search, and re-ranking techniques.
- Experience with LLM evaluation, 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 such as Scikit-learn, XGBoost, and PyTorch.
- Familiarity with MLOps and LLMOps practices, CI/CD pipelines, Infrastructure as Code (Terraform/CDK), observability tools, and FinOps principles.
- Strong analytical thinking, problem-solving skills, and effective communication abilities.
- Availability to work during US time zone hours.

This role offers the opportunity to work remotely while contributing to cutting-edge AI/ML platform development in the healthcare domain. The position provides a competitive salary and a permanent contract following a probation period, making it ideal for experienced professionals seeking to lead impactful AI initiatives.