IBEX

Biotech company: antibodies and gene therapy

AI/ML Architect

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeNoida, Uttar Pradesh, IndiaNo salary listed

About the Job

Requirements

At least 10 years of experience in Solution Architecture, AI/ML Architecture, Enterprise Architecture, or Technical Delivery.
Recent hands-on experience building and supporting production AI/ML and Generative AI solutions.
Experience with large language models, retrieval-augmented generation, vector databases, embeddings, agentic AI, prompt engineering, and AI evaluation.
Understanding of Machine Learning, Deep Learning, Natural Language Processing, MLOps, and LLMOps.
Hands-on experience with Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, and Snowpark ML.
Architecture experience with Snowflake and at least one major cloud platform.
Experience integrating AI solutions with APIs, microservices, SaaS applications, Kafka, and event-driven architectures.
Understanding of AI security, governance, compliance, observability, and model monitoring.
Ability to balance strategic architecture ownership with hands-on technical execution.

Responsibilities

Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production.
Design production-grade retrieval-augmented generation systems, vector search, embedding pipelines, AI agents, copilots, and multi-agent workflows.
Build solutions using Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, and Snowpark ML.
Design scalable ML and LLM pipelines for training, inference, evaluation, monitoring, and governance.
Integrate AI solutions with AWS, Azure, or GCP, enterprise applications, APIs, ETL/ELT platforms, and streaming systems.
Develop reusable AI reference architectures, technical standards, accelerators, and governance frameworks.
Lead architecture reviews, technical design sessions, code reviews, proofs of concept, and production-readiness assessments.
Conduct client discovery workshops, solution design, effort estimation, technical presentations, and pre-sales activities.
Collaborate with data engineers, ML engineers, application teams, architects, and business stakeholders.

Desired Qualifications

Experience with Amazon Bedrock, SageMaker, Azure OpenAI, Azure AI Foundry, Azure ML, or Vertex AI.
Familiarity with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or MCP.
Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, Chroma, or pgvector.
Experience integrating AI solutions with Salesforce, ServiceNow, SAP, Workday, or Microsoft applications.
Relevant Snowflake, AWS, Azure, or AI/ML certifications.
Consulting experience, preferably within regulated industries such as financial services, healthcare, or manufacturing.

Overview

Location:Noida

Company Name- BlueCloud

About the Role:

We are seeking an experiencedAI/ML Architectto lead the architecture and delivery of enterprise-scaleAI, Machine Learning, and Generative AI solutions.

The ideal candidate will have recent hands-on experience designing and deploying production-grade AI solutions, with strong expertise inLLMs, RAG, agentic AI, Snowflake Cortex, cloud platforms, and AI architecture. The role involves working closely with enterprise clients and technical teams to deliver scalable, secure, and governed AI solutions.

Responsibilities

Key Responsibilities:

Architect and deliver end-to-endAI/ML and Generative AI solutionsfrom discovery through production.
Design production-gradeRAG systems, vector search, embedding pipelines, AI agents, copilots, and multi-agent workflows.
Build solutions usingSnowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, and Snowpark ML.
Design scalable ML and LLM pipelines for training, inference, evaluation, monitoring, and governance.
Integrate AI solutions withAWS, Azure, or GCP, enterprise applications, APIs, ETL/ELT platforms, and streaming systems.
Develop reusable AI reference architectures, technical standards, accelerators, and governance frameworks.
Lead architecture reviews, technical design sessions, code reviews, POCs, and production-readiness assessments.
Conduct client discovery workshops, solution design, effort estimation, technical presentations, and pre-sales activities.
Collaborate with data engineers, ML engineers, application teams, architects, and business stakeholders.

Qualifications

Required Qualifications:

10+ years of experiencein Solution Architecture, AI/ML Architecture, Enterprise Architecture, or Technical Delivery.
Strong recent hands-on experience building and supportingproduction AI/ML and Generative AI solutions.
Proven experience withLLMs, RAG, vector databases, embeddings, agentic AI, prompt engineering, and AI evaluation.
Strong understanding ofMachine Learning, Deep Learning, NLP, MLOps, and LLMOps.
Hands-on experience withSnowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, and Snowpark ML.
Strong architecture experience with Snowflake and at least one major cloud platform, preferablyAWS or Azure.
Experience integrating AI solutions with APIs, microservices, SaaS applications, Kafka, and event-driven architectures.
Strong understanding ofAI security, governance, compliance, observability, and model monitoring.
Excellent communication, client-facing, leadership, and stakeholder-management skills.
Ability to balance strategic architecture ownership with hands-on technical execution.

Preferred Qualifications:

Experience withAmazon Bedrock, SageMaker, Azure OpenAI, Azure AI Foundry, Azure ML, or Vertex AI.
Familiarity withLangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or MCP.
Experience with vector databases such asPinecone, Weaviate, Milvus, Qdrant, Chroma, or pgvector.
Experience integrating AI solutions withSalesforce, ServiceNow, SAP, Workday, or Microsoft applications.
RelevantSnowflake, AWS, Azure, or AI/ML certifications.
Consulting experience, preferably within regulated industries such as financial services, healthcare, or manufacturing.

If you are passionate about enterprise AI, Generative AI, and modern cloud architecture and enjoy solving complex business problems through technology, we encourage you to apply.

#ibexphtalentmobility

Work Location: Hybrid remote in Noida, Uttar Pradesh

About the Company

IBEX

Biotech company: antibodies and gene therapy

Ibex Biosciences focuses on discovering, validating, and producing biotechnology solutions for health and ecological challenges. Its product portfolio includes therapeutic antibodies, gene therapy, and stem cell programs, as well as diagnostic antibodies for Immunohistochemistry (IHC) to improve biopsy accuracy. The company advances its products by conducting exploratory R&D on projects that may not yet be validated in public research, then develops and commercializes these technologies through licensing, partnerships, and direct sales to healthcare and research institutions. A key differentiator is Ibex’s diversified, internally driven pipeline and its mix of therapeutics and diagnostics, alongside active engagement in grant funding and patenting. The company’s goal is to bring proprietary biotech innovations to market to enhance patient outcomes and health-related research, addressing significant cancer-related and other health challenges.

Company size: 1-10
Company stage: Early VC
Total funding: $4.2M
Headquarters: North Bethesda, MD
Founded: 2015

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