AI Architect

Cyient; Hyderabad; Presencial; INR 4.000.000 - 6.500.000; Jornada completa

Descripción de la vacante

Cyient in Hyderabad seeks an experienced AI Architect to design scalable, secure, production-ready AI solutions across the enterprise. You will translate business requirements into robust architectures and provide technical leadership from ideation through deployment.

Responsibilities include end-to-end AI/ML architectures, evaluating models and platforms, guiding MLOps, and mentoring engineers, data scientists, and developers.

Formación

• Bachelor’s or Master’s degree in computer science, AI, data science, engineering, or related discipline.
• 10+ years of experience in software engineering, solution architecture, AI/ML, data science, or related technology domains, with 5+ years designing & implementing enterprise AI solutions.

Responsabilidades

• Design end-to-end architectures for AI/ML, generative AI, LLM, & agentic AI solutions across enterprise environments.
• Translate business use cases & requirements into scalable AI solution architectures, including data flows, models, APIs, integrations, infrastructure, security, & governance.
• Design AI agent & multi-agent architectures, including agent planning, memory, tools, orchestration, human-in-the-loop, & enterprise system integration.
• Evaluate & recommend foundation models, AI platforms, frameworks, vector databases, model-serving technologies, & cloud services based on performance, cost, scalability, security, & business requirements.
• Ensure AI solutions address responsible AI, security, privacy, compliance, access control, prompt injection, data leakage, hallucination, & model misuse.
• Define AI evaluation & observability approaches covering accuracy, relevance, groundedness, latency, cost, safety, reliability, & model/agent performance.
• Conduct technology assessments, prototypes, & POCs to evaluate emerging technologies including generative AI, agentic AI, multimodal AI, reasoning models, & AI infrastructure.
• Provide architectural guidance & mentorship to AI engineers, ML engineers, data scientists, & development teams, & participate in architecture governance & reviews.
• Collaborate with business leaders, enterprise architecture, solution architecture, data, cybersecurity, cloud, & engineering teams to ensure successful AI adoption & production deployment.

Conocimientos

AI Architecture

Technical Leadership

Python

LLMs

MLOps

Cloud Platforms

Security & Governance

Educación

Bachelor's or Master's in CS/AI/Engineering

Herramientas

Vector Databases

Embeddings

Model Serving

RAG

Descripción del empleo

We are seeking an experienced AI Architect to design & deliver scalable, secure, & production-ready agentic AI solutions across Cyient.

The role will translate business requirements into enterprise ai architectures, define technology standards & reusable patterns, evaluate emerging AI technologies, & provide technical leadership from ideation through production and scale.

Key responsibilities

Design end-to-end architectures for AI/ML, generative AI, LLM, & agentic AI solutions across enterprise environments.

Translate business use cases & requirements into scalable AI solution architectures, including data flows, models, APIs, integrations, infrastructure, security, & governance.

Design AI agent & multi-agent architectures, including agent planning, memory, tools, orchestration, human-in-the-loop, & enterprise system integration.

Evaluate & recommend foundation models, AI platforms, frameworks, vector databases, model-serving technologies, & cloud services based on performance, cost, scalability, security, & business requirements.

Ensure AI solutions address responsible AI, security, privacy, compliance, access control, prompt injection, data leakage, hallucination, & model misuse.

Define AI evaluation & observability approaches covering accuracy, relevance, groundedness, latency, cost, safety, reliability, & model/agent performance.

Conduct technology assessments, prototypes, & POCs to evaluate emerging technologies including generative AI, agentic AI, multimodal AI, reasoning models, & AI infrastructure.

Provide architectural guidance & mentorship to AI engineers, ML engineers, data scientists, & development teams, & participate in architecture governance & reviews.

Collaborate with business leaders, enterprise architecture, solution architecture, data, cybersecurity, cloud, & engineering teams to ensure successful AI adoption & production deployment.

Bachelor's or master's degree in computer science, AI, data science, engineering, or related discipline.

10+ years of experience in software engineering, solution architecture, AI/ML, data science, or related technology domains, with 5+ years designing & implementing enterprise AI solutions.

Strong hands-on experience with generative AI, LLMs, foundation models, rag, vector databases, embeddings, prompt engineering, LLM orchestration, & AI evaluation.

Strong python programming skills & familiarity with modern AI/ML frameworks.

Strong foundation in software architecture, distributed systems, APIs, microservices, databases, enterprise integration, & cloud architecture.

Experience with one or more major cloud platforms such as Azure, AWS or google cloud.

Experience with AI/ML deployment, model serving, monitoring, MLOps/LLMOps, & lifecycle management.

Strong understanding of AI security, responsible AI, data privacy, and AI governance.

Ability to evaluate emerging AI technologies and translate them into practical, scalable enterprise architectures.

Strong communication, stakeholder-management, technical leadership, and mentoring skills.