Role OverviewWe 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.
What You Will Do
Design and implement production-ready AI solutions leveraging Amazon Bedrock, foundation models, RAG pipelines, and AI agent frameworks such as LangChain and LlamaIndex. Present POC results and assessment recommendations to client teams, building confidence and momentum for production investments.
Why It Might Be a Fit
You have a proven track record delivering production AI applications from concept to deployment, excel at conducting technical discovery and assessment work, and possess strong written and verbal communication skills for client-facing interactions.
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)
Benefits
- $120,000 - $150,000 a year
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