Solution Architect
Location US Office - Chicago
Years of Experience 15-30 Years
Job Summary We are seeking a highly skilled Solution Architect with over 7 years of experience in engineering and machine learning, including a minimum of 3 years in architecting and scaling production-grade AI systems. The ideal candidate will have deep proficiency in cloud AI platforms and a strong understanding of generative AI architecture.
Responsibilities
- Design and implement scalable AI solutions using cloud platforms such as AWS, Azure, or GCP.
- Architect and optimize generative AI systems, focusing on RAG, agentic workflows, and LLM orchestration.
- Oversee model serving and inference frameworks to ensure high performance and reliability.
- Manage AI data pipelines, feature stores, and vector databases to support data-driven decision-making.
- Implement MLOps and LLMOps practices for model tracking, versioning, evaluation, and monitoring.
- Utilize DevOps practices and Infrastructure as Code (IaC) to streamline AI infrastructure deployment.
- Collaborate with cross-functional teams to deliver innovative AI solutions for B2B clients.
Mandatory Skills
- 7+ years of experience in engineering/ML with 3+ years as a Solution Architect.
- Deep proficiency in AWS (SageMaker), Azure (OpenAI), or GCP (Vertex AI).
- Expertise in generative AI architecture, including RAG and LLM orchestration (LangChain/LlamaIndex).
- Strong knowledge of scalable inference and serving frameworks (vLLM, Triton, TGI).
- Experience with AI data pipelines, feature stores, and vector databases (Pinecone, Milvus).
- Proficiency in MLOps & LLMOps tools (MLflow, LangSmith).
- Hands-on experience with containerization (Kubernetes, Docker) and Terraform.
- Proven experience as a Solution Architect in a B2B environment.
Preferred Skills
- Experience with additional cloud platforms and AI tools.
- Strong communication and leadership skills.
- Ability to work in a fast-paced, collaborative environment.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Relevant certifications in cloud platforms or AI technologies are a plus.