YASH Technologies
Artificial Intelligence Specialist
YASH Technologies, Chicago, Illinois, United States, 60290
AI Architect – Enterprise AI & Generative AI
A highly experienced AI Architect with 10–12 years of professional experience in designing, building, and scaling enterprise-grade AI and Generative AI (GenAI) solutions across leading public cloud platforms (Azure, AWS, GCP). The ideal candidate will play a strategic role in AI solution architecture, data & model engineering, cloud integration, and MLOps/LLMOps frameworks, while working closely with business and technology teams to drive measurable outcomes through AI innovation.
Key Responsibilities
GenAI & LLMs: Experience with GPT-4/4o, Claude, Gemini, Mistral, LLaMA, fine‑tuning, RAG (Retrieval‑Augmented Generation), and prompt engineering.
MLOps & LLMOps: Azure ML Pipelines, Sage Maker Pipelines, MLflow, Kubeflow, or custom CI/CD for AI.
Data & Integration: Experience with Data Lakes, Databricks, Synapse, Kafka, REST/GraphQL APIs, and vector DBs like Pinecone, Weaviate, FAISS, Milvus, or Cosmos DB.
Responsible AI: Understanding of bias detection, model explainability, and governance principles.
Architecture Design: Expertise in TOGAF/Well‑Architected frameworks and AI reference architectures.
Qualifications
Proven experience in designing and delivering AI solutions at enterprise scale.
Cloud certifications (Azure AI Engineer, AWS ML Specialty, or GCP ML Engineer) preferred.
Strong communication and presentation skills for stakeholder engagement and executive alignment.
Seniority Level Mid‑Senior Level
Employment Type Full‑time
Job Function Information Technology and Management
Industries IT Services and IT Consulting and Software Development
Location: Chicago, IL
Salary: $80,000.00–$100,000.00
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Key Responsibilities
GenAI & LLMs: Experience with GPT-4/4o, Claude, Gemini, Mistral, LLaMA, fine‑tuning, RAG (Retrieval‑Augmented Generation), and prompt engineering.
MLOps & LLMOps: Azure ML Pipelines, Sage Maker Pipelines, MLflow, Kubeflow, or custom CI/CD for AI.
Data & Integration: Experience with Data Lakes, Databricks, Synapse, Kafka, REST/GraphQL APIs, and vector DBs like Pinecone, Weaviate, FAISS, Milvus, or Cosmos DB.
Responsible AI: Understanding of bias detection, model explainability, and governance principles.
Architecture Design: Expertise in TOGAF/Well‑Architected frameworks and AI reference architectures.
Qualifications
Proven experience in designing and delivering AI solutions at enterprise scale.
Cloud certifications (Azure AI Engineer, AWS ML Specialty, or GCP ML Engineer) preferred.
Strong communication and presentation skills for stakeholder engagement and executive alignment.
Seniority Level Mid‑Senior Level
Employment Type Full‑time
Job Function Information Technology and Management
Industries IT Services and IT Consulting and Software Development
Location: Chicago, IL
Salary: $80,000.00–$100,000.00
#J-18808-Ljbffr