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 squa...
- 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 squa...
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