We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through production deployment. You will partner with clients to identify high-impact Generative AI use cases, evaluate data readiness, and rapidly build proof-of-concept applications that demonstrate tangible business value. You will design and implement production-ready AI solutions leveraging Amazon Bedrock, foundation models, RAG pipelines, and AI agent frameworks such as LangChain and LlamaIndex. As a client-facing technologist, you will translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices. Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter   What this role is responsible for:   AI Assessment & Discovery * Participate in client discovery workshops and technical interviews to identify and prioritize high-impact GenAI use cases * Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI solutions * Rapidly design and build proof-of-concept (POC) applications and live demonstrations that validate AI use cases and illustrate business value to client stakeholders * Translate discovery findings into technical specifications, architecture recommendations, and implementation plans * Present POC results and assessment recommendations to client teams, building confidence and momentum for production investments   GenAI Solution Development * Design and implement production-ready Generative AI applications using Amazon Bedrock, Anthropic Claude, and other foundation models * Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Weaviate, OpenSearch, Pinecone) * Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations * Create conversational AI interfaces with natural language understanding, intent detection, and context management * Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain-specific applications   Client Engagement & Delivery * Translate business requirements into technical specifications and suggested implementation plans * Provide technical guidance and recommendations to clients on AI/ML best practices * Document architecture decisions, code, and deployment suggestions     What makes someone successful in this role:   * You have a proven track record delivering production AI applications from concept to deployment * You excel at conducting technical discovery and assessment work, including stakeholder workshops and use-case identification * You can build proof-of-concept applications and live demonstrations that communicate technical concepts to non-technical audiences * You have excellent problem-solving skills and the ability to work independently with minimal supervision * You possess strong written and verbal communication skills for client-facing interactions * You are passionate about Generative AI and stay current with the latest developments in LLMs, agents, and AI frameworks     Requirements:   * 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development * 2+ years of hands-on AWS experience with production deployments * 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents) * AWS Certifications: Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding of compliance requirements (HIPAA, PCI-DSS, SOC 2) (preferred) * Contributions to open-source AI/ML projects or published technical content (preferred) * Experience with multi-tenant SaaS architectures and data isolation patterns (preferred) * Knowledge of cost optimization strategies for AI workloads (model selection, caching, batching) (preferred) * Familiarity with frontend frameworks (React, Angular) for building AI-powered UIs (preferred)