Technical Lead / Solution Architect Multi-Cloud & GenAI

Key Responsibilities Design GenAI and Agentic AI solutions using RAG, AI agents and related technologies.

Lead end-to-end solution architecture across application, data, integration, security and cloud.

Lead POCs and technical implementations.

Work with AWS, Azure and GCP cloud platforms.

Design data flows, APIs, event-driven solutions and vector search.

Establish LLMOps, monitoring, evaluation and AI governance practices.

Ensure security, privacy and compliance are built into solutions.

Lead technical reviews and guide engineering teams.

Work with clients and stakeholders on requirements, roadmaps and technical solutions.

Manage client expectations and multiple projects/opportunities.

Mentor and guide technical teams.

Required Skills 12+ years of experience in enterprise application, data platform or solution architecture.

2+ years of experience designing production-grade GenAI solutions.

3+ years of hands-on experience with AWS, Azure and GCP .

Experience with GenAI, Agentic AI and RAG .

Hands-on experience with LangChain/LangGraph, DSPy, OpenAI/Anthropic or Databricks Agents .

Experience with LLMOps, MLflow/OpenTelemetry and AI CI/CD.

Experience with Kubernetes, Terraform or CloudFormation .

Strong knowledge of data platforms such as Delta Lake, Iceberg or Hudi .

Experience with Kafka, Kinesis or Pub/Sub .

Experience with vector databases/search such as pgvector, Pinecone, Milvus or Databricks Vector Search .

Strong API knowledge including REST, gRPC and GraphQL .

Knowledge of cloud security, IAM/OIDC, OAuth2, JWT, mTLS and secrets management.

Good understanding of mobile and web applications.

Strong communication, client management and leadership skills.

Qualifications Bachelor's degree or equivalent in Computer Science, IT, Engineering or related field.

Relevant cloud/AI/architecture certifications are preferred, including AWS, Azure, Google Cloud and TOGAF

EA Number: 11C4879