Senior AI Platform & Solutions Engineer

The Senior AI Platform & Solutions Engineer designs, builds, implements, and maintains the enterprise AI platform, including cloud infrastructure, AI services, data pipelines, integrations, and Agentic AI solutions.

Reporting to the Director of AI, this senior hands‑on role combines AWS cloud and AI platform engineering with Generative AI development to securely develop, deploy, integrate, monitor, and scale enterprise AI solutions.

This role confirms and implements AWS-based AI infrastructure, reusable AI services and APIs, RAG capabilities, data pipelines, webhooks, integrations, and AI agents. The engineer also develops and optimizes AI solutions using LLMs, prompt and context engineering, tool calling, agent orchestration, multimodal AI, and computer vision.

The Senior AI Platform & Solutions Engineer partners with AI leadership, software development, IT infrastructure, cybersecurity, enterprise systems, and business stakeholders to deliver scalable, secure, maintainable, production‑ready AI capabilities.

• Design, build, implement, and maintain the enterprise AI platform and services
• Develop scalable architecture for AI applications, agents, models, knowledge bases, and use cases
• Build reusable AI services, APIs, components, and integration patterns
• Establish standards and reference architectures for enterprise AI development
• Design AI solutions for scalability, reliability, maintainability, security, and cost efficiency
• Evaluate emerging AI technologies and recommend adoption where appropriate
• Design and implement AWS infrastructure for enterprise AI applications and services
• Develop production-ready architectures using AWS services such as Bedrock, Lambda, API Gateway, S3, ECS/EKS, IAM, and Cloud Watch
• Configure and maintain model endpoints, infrastructure, networking, storage, and compute resources
• Implement Infrastructure as Code and repeatable provisioning
• Build containerized workloads with Docker and appropriate orchestration tools
• Implement monitoring, logging, alerting, scaling, backup, and disaster recovery
• Optimize AI infrastructure performance, availability, latency, and cloud costs

• Build production AI agents and Agentic AI workflows
• Develop single- and multi-agent architectures for business needs
• Implement reasoning, planning, tool/function calling, memory, and orchestration
• Enable agents to securely interact with systems, APIs, databases, and applications
• Build human-in-the-loop workflows and controls for autonomous processes
• Develop copilots, assistants, intelligent search, document intelligence, and automation solutions
• Integrate agents into enterprise applications and workflows
• Develop enterprise applications using LLMs and Generative AI
• Optimize prompt and context engineering strategies
• Implement model selection and routing for performance, security, latency, and cost
• Develop structured output, tool-use, and reasoning workflows
• Evaluate fine-tuning and model adaptation when appropriate
• Improve model reliability, quality, accuracy, and consistency

• Design and implement enterprise RAG architectures
• Build ingestion pipelines for structured and unstructured content
• Develop document processing, chunking, embedding, indexing, and retrieval strategies
• Implement semantic, vector, keyword, and hybrid search
• Maintain vector databases and AI knowledge repositories
• Optimize retrieval quality, context relevance, and response accuracy
• Support access controls and data-level permissions
• Develop safeguards to reduce hallucinations and unreliable responses
• Design scalable data pipelines for AI applications and services
• Build ETL/ELT and ingestion workflows for structured, semi-structured, and unstructured data
• Connect databases, documents, APIs, repositories, and cloud storage to AI services
• Develop transformation, validation, metadata extraction, and synchronization processes
• Implement event-driven and near-real-time processing as needed
• Ensure pipelines are reliable, observable, maintainable, and secure

• Design REST APIs and webhook integrations
• Build…