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 [Confidential Information]ting the job title in the Subject line. We regret that only shortlisted candidates will be notified.