AI/ML Architect
Ascendion · Pune · onsite · Posted 55d ago
Undisclosed10–20 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Title: AI Architect
Years of Exp: 10+ Years
Location: All Ascendion Locations
Number of POS: 1
Key Responsibilities
- Architect and implement cloud-native AI platforms and solutions using Microsoft Azure.
- Design scalable, secure, highly available, and production-ready architectures for enterprise AI applications.
- Design and implement agentic AI and multi-agent architectures, including agent orchestration, workflow management, tool invocation, state management, and memory.
- Design and implement integrations with Large Language Models (LLMs), including Azure OpenAI, embeddings, fine-tuned models, and other foundation models.
- Build enterprise-grade Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search, vector databases, document stores, and other Azure services.
- Evaluate and implement emerging AI protocols and standards such as MCP (Model Context Protocol) and A2A (Agent2Agent).
- Design and implement AI orchestration solutions using frameworks such as LangGraph, Microsoft Semantic Kernel, AutoGen, or equivalent technologies.
- Develop secure and scalable APIs and services for AI applications, including authentication, authorization, identity, and secrets management.
- Leverage Azure services such as Azure Functions, App Services, Azure AI Search, Azure OpenAI, Document Intelligence, API Management, Key Vault, Service Bus, and managed identities.
- Define and implement Infrastructure as Code (IaC) using technologies such as Terraform or Azure Bicep.
- Establish CI/CD and DevOps practices for AI applications, infrastructure, models, and supporting services.
- Implement comprehensive observability and monitoring, including logging, distributed tracing, metrics, model performance, latency, cost, and AI quality monitoring.
- Design AI systems with appropriate security, privacy, compliance, responsible AI, and data governance controls.
- Establish best practices for prompt management, AI evaluation, guardrails, model selection, and production readiness.
- Collaborate with software engineers, data engineers, ML engineers, DevOps teams, security teams, architects, and business stakeholders.
- Conduct technical evaluations and proof-of-concepts for emerging AI technologies and frameworks.
- Provide technical leadership, architecture guidance, and mentoring to engineering teams.
- Ensure AI solutions are designed for scalability, reliability, maintainability, performance, and cost optimization.
Required Skills & Experience
- 10+ years of experience in software engineering, AI/ML, cloud architecture, or related technology domains, with significant experience delivering enterprise AI/GenAI solutions.
- Strong hands-on expertise in Microsoft Azure and Azure-native AI services.
- Strong understanding of Generative AI, LLMs, prompt engineering, embeddings, vector search, RAG, and agentic AI architectures.
- Hands-on experience with Azure OpenAI and enterprise LLM integrations.
- Strong programming experience in Python.
- Experience designing and implementing multi-agent workflows, AI agents, tool calling, state management, and orchestration.
- Experience with one or more agent/AI frameworks such as LangGraph, Semantic Kernel, AutoGen, LangChain, or equivalent.
- Strong knowledge of Azure AI Search, vector databases, document processing, and cloud storage.
- Experience with MCP, A2A, or other emerging AI interoperability protocols.
- Strong understanding of API design, microservices, authentication, authorization, and enterprise integration patterns.
- Experience with Infrastructure as Code, preferably Terraform and/or Azure Bicep.
- Strong understanding of DevOps, CI/CD, containerization, and cloud security.
- Experience with AI/ML observability, monitoring, evaluation, and production operations.
- Understanding of AI security, data privacy, responsible AI, compliance, and governance.
- Strong architecture, analytical, communication, and problem-solving skills.
Education Qualification
- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Engineering, or a related technical discipline.
- Equivalent practical experience in AI, cloud architecture, software engineering, or related fields may be considered.
Sourced from naukri
Skills
EngineeringDevopsDockercdenterprise integrationCloud StorageprocessingenterpriseProgrammingAuthorizationAuthenticationPythonCloud SecurityCommunication SkillsAPIArchitectureMicroservicesanalyticalMicrosoft AzureCi/Cd
About Ascendion
Ascendion
IT Services & Consulting
3.3k+
employees
2022
4 years old
Basking Ridge, NJ
India
About
Ascendion is a leading provider of AI-first software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have a presence in 12 countries and 40+ global offices across North America, Europe, and APAC. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture. For more information, please go to www.ascendion.com.
Industries
IT Services & Consulting
Employee ratings
799 reviews
3.2/ 5
Culture
3.2
Career growth
2.7
Work-life
3.3
Employees rate it well for
Salary80Work Life Balance52Work Culture47Senior Management40Appraisal33
Find them on