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AI/ML Architect - Talent Pipeline

BlueCloud
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Hybrid (Onshore / Remote)Bench hiringPosted 2mo ago

About the role

Experienced AI/ML Architect leading architecture and delivery of enterprise-scale AI, machine learning, and Generative AI solutions. Hands-on role requiring design, development, integration, and deployment of production-grade AI solutions for enterprise clients across Snowflake, cloud platforms, data ecosystems, and enterprise applications.

Responsibilities

  • Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production deployment.
  • Design production-grade RAG systems, vector search solutions, embedding pipelines, AI agents, copilots, and multi-agent workflows.
  • Lead hands-on implementation using Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML, and related Snowflake AI capabilities.
  • Design scalable ML and LLM pipelines supporting training, inference, evaluation, monitoring, and governance.
  • Integrate AI solutions with AWS, Azure, or GCP, as well as enterprise applications, APIs, ETL/ELT platforms, streaming systems, and third-party AI services.
  • Define reusable AI reference architectures, accelerators, technical standards, and governance frameworks.
  • Provide technical leadership through architecture reviews, code reviews, design sessions, and production-readiness assessments.
  • Lead client discovery workshops, solution design, effort estimation, technical presentations, proof-of-concepts, and pre-sales activities.
  • Collaborate with data engineers, ML engineers, application teams, architects, and business stakeholders throughout delivery.

Qualifications

  • 10+ years of experience in solution architecture, AI/ML architecture, enterprise architecture, or technical delivery.
  • Strong recent hands-on experience building and supporting production AI/ML and Generative AI solutions.
  • Proven experience with LLMs, RAG, vector databases, embedding pipelines, agentic AI, prompt engineering, and AI evaluation.
  • Strong understanding of machine learning, deep learning, NLP, MLOps, and LLMOps.
  • Hands-on experience with Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML, and Snowflake Native Apps.
  • Strong architecture experience across Snowflake and at least one major cloud platform, preferably AWS or Azure.
  • Experience integrating AI platforms with APIs, microservices, SaaS applications, enterprise systems, Kafka, and event-driven architectures.
  • Strong understanding of AI security, governance, compliance, observability, and model monitoring.
  • Excellent client-facing communication, technical leadership, and stakeholder-management skills.
  • Ability to balance strategic architecture ownership with hands-on technical execution.

Skills

Required:AI/ML architectureSnowflake Cortex / Snowpark MLCloud platforms (AWS/Azure/GCP)MLOps / LLMOpsAPI / microservices integrationSecurity & governanceStakeholder management
Last updated Aug 5, 2026. Interested? Apply on the company site.

About BlueCloud

Delivering Enterprise AI, through high-performing and scalable global teams

BlueCloud pioneers digital transformation for businesses through data, analytics, and Gen-AI with scalable, affordable and high-performing global teams.

Generative AI & MLData EngineeringData AnalyticsSoftware Design & BuildDevOpsData GovernanceCloud
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