Principal AI Solutions Architect - Multi-Cloud Platform

Responsibilities:

-       Translate business goals into Gen AI / Agentic AI enabled architectures (RAG, agents, etc).

-       Own end-to-end solution design across application, data, integration, security, and observability.

-       Participate in new client facing opportunities, provide technical leadership and lead the team in implementations.

-       Lead hands-on new solutions and POCs that de-risk decisions and graduate to MVPs; guide engineering through build and run.

-       Establish LLMOps: evaluation, tracing/observability, guardrails/safety, and prompt/version management with clear SLOs and quality metrics.

-       Architect data flows (batch/stream) and vector search; define APIs/events and tool/agent contracts.

-       Make platform/model choices (managed vs OSS, serving strategies) with cost/performance trade-offs.

-       Embed security & privacy by design: Zero-Trust, IAM/OIDC, secrets/KMS, data minimization, compliance controls.

-       Plan delivery and backlogs; coordinate multi-disciplinary squads; run design/code reviews and technical governance.

-       Engage stakeholders with discovery, roadmaps, estimates; communicate risks, benefits, and ROI in plain language.

-       Coach teams; codify reusable patterns, templates, and reference implementations.

Requirements:

-       Minimum of bachelor’s degree or equivalent.

-       12+years of enterprise application or data platform architecture experience, including 2 years of designing production grade Gen AI systems.

-       Strong exposure to data science and machine learning.

-       Proven architecture leadership across cloud (AWS/Azure/GCP), containers/Kubernetes or serverless, and IaC (Terraform/CloudFormation).

-       Mandatory hands-on multiple cloud experience of at 3 years in each of the AWS, GCP &Azure environments, with at least one year hands-on experience with Gen AI, Agentic AI technologies.

-       Hands-on with at least one agent/RAG stack: LangChain / LangGraph, DSPy, OpenAI / Anthropictool use, Databricks Agents or equivalent.

-       Practical LLMOps: evaluation (LLM judges, task metrics), tracing/observability (MLflow/OpenTelemetry),prompt/version registries, CI/CD for AI.

-       Lakehouse/ Data expertise: Delta/Iceberg/Hudi; streaming (Kafka/Kinesis/Pub/Sub); vectorsearch (Databricks Vector Search, pgvector, Pinecone, Milvus, Vespa, etc.).

-       API& integration design: REST/gRPC/GraphQL, event-driven patterns, contract/version management.

-       Security& governance: OAuth2/OIDC, JWT/mTLS, secrets management, data classification/lineage, access policies, content safety/guardrails.

-       Strong communicator: can frame cost/benefit, risk, and ROI; writes clear design docs; influences across org boundaries.

-       Good understanding of mobile and web applications.

-       Able to manage multiple opportunities at the same time.

-       Experiences in managing client relationship and expectation.

-       Fast learner, achiever, sets high personal goals.

Required Certifications

-       AWS/Azure/GoogleAI Certifications

-       AWS/Azure/GoogleData Science Certifications

-       AWS/Azure/GoogleSolution Architect Certifications

-       TheOpen Group TOGAF 9 Certification

-       Any other equivalent industry standard architect certification

Interested candidates may send their CV to MAC (Reg No. R1221300) at [email protected] the job title in the Subject line. We regret that only shortlisted candidates will be notified.