AI Architect (Solution Architect-Blueverse-GenAI Architecture-Platform)
LTM
Coimbatore District
On-site
INR 1,400,000 - 1,800,000
Full time
14 days+
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Job summary
A technology solutions company located in Tamil Nadu, India is seeking an experienced Architect to oversee the implementation of AI and GenAI-based solutions. The ideal candidate will have a strong background in microservices architectures and AIML technologies. Responsibilities include designing scalable architectures, leading ML and AI pipelines, and collaborating with developers to ensure effective deployment. Excellent communication skills are required to engage with stakeholders and present architectural strategies.
Qualifications
Proven experience in designing and deploying microservices-based architectures.
Strong knowledge of authentication mechanisms (OAuth, JWT, API Keys).
Hands-on experience with AIML and GenAI technologies.
Responsibilities
Architect and oversee AI and GenAI-based solutions.
Collaborate with AI Developers for multi-agent systems.
Define scalable and modular microservices architectures.
Lead the development of end-to-end ML and AI pipelines.
Skills
AWS or Azure Certification Solutions Architect AIML Speciality
Microservices-based architectures
Authentication mechanisms (OAuth, JWT, API Keys)
AIML and GenAI technologies
Developing and orchestrating ML workflows
Cloud-native deployments using Docker and Kubernetes
Excellent communication skills
Tools
Kubeflow
MLflow
Airflow
ELK
OpenTelemetry
Job description
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