AI Architect

Hi,

We at Yash Technologies are looking for AI Architect , if you are looking for new opportunity, please share your updated resume.

Location : - Chicago,IL (3 days onsite)

A highly experienced AI Architect with 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 roll 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

• AI Solution Architecture :
• Design and architect scalable, secure, and high-performing AI / GenAI solutions leveraging cloud-native services and frameworks.
• Enterprise Integration :
• Integrate AI systems with enterprise data platforms, applications, APIs, and workflow systems ensuring end-to-end traceability and performance.
• GenAI Solution Design :
• Architect and implement Generative AI solutions using LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Gemini, etc.) for use cases like knowledge retrieval, document summarization, copilots, and content generation.
• MLOps & LLMOps :
• Define and implement model lifecycle management pipelines (CI / CD for ML / LLMs governance, observability, and responsible AI frameworks.
• Data Architecture Collaboration :
• Work closely with Data Engineering teams to design and optimize feature stores, vector databases, embeddings, and multimodal data pipelines.
• Stakeholder Engagement :
• Collaborate with business stakeholders, product managers, and delivery teams to translate business objectives into technical AI solutions and architectures.
• Innovation & Research :
• Evaluate emerging AI technologies, models, and frameworks to recommend
• fit-for-purpose solutions that align with enterprise AI strategy.
• Performance Optimization :
• Drive optimization of model performance, inference latency, cost, and
• accuracy across cloud environments.
• Mentorship :
• Guide data scientists and ML engineers in solution design, best practices, and architectural patterns.

Technical Skills & Competencies

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, AI / ML, or related field.

Preferred Attributes