Job Description
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 ...