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

Role Description  

AI Architect JD

Position AI Architect

Location Your Location

LTIM Grade P5

Experience 8 years

Type FullTime

Summary 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