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 anc1@anchorsearchgroup.comquoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.