AI Platform Architecture and Technical Evaluation Lead — ICE AI/Data Advisory; Contingent
Listed on 2026-10-11
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IT/Tech
AI Engineer (Applied/Software), Systems Engineer, Data Engineering, Cloud Computing: Infrastructure & Operations
| AI Platform Architecture and Technical Evaluation Lead — ICE AI / Data Advisory (Contingent)
- Washington, DC
Contingent on government contract award and funding.
Washington, DC is the opportunity-market location; actual work location and work model are to be determined.
Axyde Analytics, LLC is identifying experienced professionals for a proposed management and technical advisory team supporting its response to the ICE Enterprise AI, Data, and Technology Strategy/Architecture RFI (RFI-_Sep
2026). The proposed mission is to help ICE turn AI and data investments into measurable operational results: establish a baseline, assess alternatives and cost/risk, recommend decisions, build an executable plan and verify benefits. This is a pre-award talent search for potential work; an RFI is market research and does not establish an awarded contract or guaranteed position.
Provide accountable, hands-on architecture judgment for evaluating enterprise AI platforms and feasible improvements. Connect cloud infrastructure, identity, data, APIs, models, runtime, telemetry, resilience and cost to mission outcomes.
Responsibilities- Map current architecture and evaluate interoperability, portability, failure modes and operating dependencies.
- Design bounded, authorized evaluations of platform alternatives and document technical and economic tradeoffs.
- Evaluate Kubernetes, cloud and Dev Sec Ops configurations, workload identity, observability, recovery and deployment controls.
- Develop practical reference architecture and implementation sequencing; coordinate engineers and independent assurance reviewers.
- Attributable production architecture and implementation experience with Kubernetes and at least one of AWS, Microsoft Azure or Google Cloud; ability to evaluate cross-cloud boundaries with specialists.
- Hands-on experience diagnosing failures across infrastructure, application, identity and data layers.
- Experience evaluating LLM/RAG platform integration, deployment controls, recovery and cost telemetry.
- An existing architecture and deployment/configuration walkthrough identifying what you personally designed or implemented.
- An example of a cross-layer failure, diagnosis, recovery evidence and resulting design decision.
- An alternatives assessment addressing interoperability, portability, security, lifecycle cost and operating constraints.
The RFI describes an existing STELLA environment spanning AWS, Microsoft Azure and Google Cloud, with Kubernetes and LLM/RAG capabilities, and a data environment integrating Databricks, Collibra, Mule Soft and Traceable. Its enterprise control plane, agentic orchestration/runtime and independent assurance layers are future-state concepts to be evaluated. Direct STELLA experience is preferred when lawfully demonstrable; comparable federal or regulated production experience is welcome.
No applicant is expected to master every listed product or all three clouds.
Contingent on government contract award and funding. Work location, work model, travel and access requirements will be determined by the scope and agency requirements. Start date, engagement structure, compensation and any paid work terms will be agreed before work begins. This posting represents a coverage function, not a promise of a separate full‑time position. Candidates may cover multiple functions where experience, availability and independent-review requirements permit.
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