AI Solutions Architect

Innova Solutions • Chicago, IL

10h • Hybrid

About The Position

As an AI Solutions Architect, you will be responsible for designing and implementing cutting-edge AI solutions for clients. This role involves leveraging cloud platforms, generative AI technologies, and machine learning practices to solve complex business problems. You will work with various AI frameworks, vector databases, and MLOps principles, while also focusing on AI governance and responsible AI practices. Strong solution architecture, design thinking, and technical leadership are essential, as are excellent communication and stakeholder management skills. Experience in the financial services domain is highly preferred.

Requirements

• AWS Cloud Architecture (AWS Bedrock, SageMaker, Lambda, ECS/EKS, Athena, Glue, Redshift, API Gateway)
• Generative AI & Agentic AI Solutions
• LLMs and Foundation Models (Claude, GPT, Llama, Amazon Nova, Mistral)
• AI Frameworks & Orchestration (LangChain, LangGraph, CrewAI, Semantic Kernel)
• RAG (Retrieval-Augmented Generation) architectures and vector search implementations
• Vector Databases (OpenSearch, Pinecone, Weaviate, Chroma, FAISS)
• AI Governance, Responsible AI, Model Monitoring, and Security
• Machine Learning & MLOps practices, including model lifecycle management and deployment
• Data Architecture and Engineering (Lakehouse architectures, data pipelines, metadata management, data quality)
• Event-driven and API-driven architectures
• Enterprise integration patterns and microservices design
• Strong solution architecture, design thinking, and technical leadership capabilities
• Excellent communication and stakeholder management skills

Nice To Haves

• Experience in the Banking, Wealth Management, Investment, or Advisory domain is highly preferred.

Responsibilities

• AWS Cloud Architecture (AWS Bedrock, SageMaker, Lambda, ECS/EKS, Athena, Glue, Redshift, API Gateway)
• Generative AI & Agentic AI Solutions
• LLMs and Foundation Models (Claude, GPT, Llama, Amazon Nova, Mistral)
• AI Frameworks & Orchestration (LangChain, LangGraph, CrewAI, Semantic Kernel)
• RAG (Retrieval-Augmented Generation) architectures and vector search implementations
• Vector Databases (OpenSearch, Pinecone, Weaviate, Chroma, FAISS)
• AI Governance, Responsible AI, Model Monitoring, and Security
• Machine Learning & MLOps practices, including model lifecycle management and deployment
• Data Architecture and Engineering (Lakehouse architectures, data pipelines, metadata management, data quality)
• Event-driven and API-driven architectures
• Enterprise integration patterns and microservices design
• Strong solution architecture, design thinking, and technical leadership capabilities
• Excellent communication and stakeholder management skills

Benefits

• Medical & pharmacy coverage
• Dental/vision insurance
• 401(k)
• Health saving account (HSA)
• Flexible spending account (FSA)
• Life Insurance
• Pet Insurance
• Short term and Long term Disability
• Accident & Critical illness coverage
• Pre-paid legal & ID theft protection
• Sick time
• other types of paid leaves (as required by law)
• Employee Assistance Program (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed