AI Architect (Solution Architect-Blueverse-GenAI Architecture-Platform)

LTM; Coimbatore District; On-site; INR 350,000 - 650,000; Full time

Job summary

LTM is seeking an experienced AI Architect to lead design and execution of AI/GenAI systems across enterprise environments. You will work with AI and MCP developers to build scalable, secure architectures for autonomous agents and intelligent automation use cases.

Ideal candidates have hands-on experience with AIML frameworks, ML pipelines, and cloud-native deployments, delivering robust, observable architectures with strong security and compliance.

Qualifications

• AWS or Azure certification with AIML specialty preferred.
• Proven experience in designing and deploying microservices-based architectures.
• Strong knowledge of authentication mechanisms (OAuth/JWT/API Keys) and centralized logging.
• Hands-on experience with AIML/GenAI tech stacks (LangChain, LangGraph, CrewAI, vector DBs).
• Experience building ML/AI pipelines (Kubeflow, MLflow, Airflow) and orchestrating workflows.
• Cloud-native deployments using Docker and Kubernetes; familiar with enterprise integrations.

Responsibilities

• Architect and oversee AI and GenAI solutions across environments.
• Collaborate with AI and MCP developers to design reusable multiagent systems.
• Define scalable, modular microservices architectures with containers.
• Implement authentication and centralized logging for AI microservices.
• Lead end-to-end ML/AI pipelines for preprocessing, training, deployment, monitoring.
• Integrate with ITSM, monitoring, security and IAM platforms.
• Ensure security, observability and compliance in AI architectures.
• Evaluate OpenAI, Azure OpenAI Bedrock and GenAI tooling for integration.
• Engage with customers to translate business needs into AI/ML solutions.
• Present architecture strategies, roadmaps and demos to stakeholders.

Skills

AWS Certification

Microservices

OAuth/JWT

AIML Frameworks

ML Pipelines

Docker

Kubernetes

LangChain

LangGraph

CrewAI

Vector DBs

OpenTelemetry

Communication Skills

Job description

Role Description

AI Architect JD

We are looking for a highly experienced and certified AI Architect to lead the design and execution of AI and GenAIbased systems across our enterprise The ideal candidate will work closely with AI Developers and MCP Developers to define scalable secure and modular architectures that support autonomous agents multiagent orchestration and intelligent automation use cases

This role requires a blend of expertise in cloud infrastructure microservices AIML pipeline development enterprise systems

Key Responsibilities

• Architect and oversee the implementation of AI and GenAIbased solutions across multiple environments
• Collaborate with AI Developers and MCP Developers to design reusable multiagent systems and control planes
• Define scalable and modular microservices architectures using containerized services
• Design and implement authentication and centralized logging for AI microservices and pipelines
• Lead the development of endtoend ML and AI pipelines for data preprocessing training deployment and monitoring
• Govern integration with enterprise systems such as ITSM monitoring security and IAM platforms
• Ensure security observability and compliance in AI solution architecture
• Evaluate and integrate LLM providers OpenAI Azure OpenAI Bedrock etc and GenAI tooling
• Engage with customers to understand their business needs and translate them into AIML solutions
• Present architectural strategies roadmaps and demos to internal and external stakeholders

Required Skills

• AWS or Azure Certification Solutions Architect AIML Speciality preferred
• Proven experience in designing and deploying microservicesbased architectures
• Strong knowledge of authentication mechanisms OAuth JWT API Keys and centralized logging ELK OpenTelemetry etc
• Handson experience with AIML and GenAI technologies frameworks LangChain LangGraph CrewAI and vector DBs
• Experience developing and orchestrating ML workflows and AI pipelines eg Kubeflow MLflow Airflow
• Strong understanding of cloudnative deployments using Docker and Kubernetes
• Familiarity with enterprise infrastructure application monitoring and system integrations
• Excellent communication and interpersonal skills to handle technical and business discussions with customers

Good to Have

• Experience with RAG architecture finetuning models or serving LLMs
• Background in MLOps and AI governance
• Exposure to ServiceNow SharePoint or Enterprise Observability Platforms
• Experience guiding AI product strategy and roadmap in collaboration with stakeholders

Location: Coimbatore