26-0098-002 | AI Platform Architecture and Technical Evaluation Lead — ICE AI / Data Advisory (Contingent)

Axyde Analytics, LLC; Washington (District of Columbia); Sur place; USD 180 000 - 230 000; Plein temps

Résumé du poste

Axyde Analytics, LLC seeks an AI Platform Architecture and Technical Evaluation Lead on a contingent basis to support ICE AI / Data Advisory responses.

You will provide hands‑on architecture judgment across Kubernetes and cloud platforms (AWS, Azure, Google), evaluate LLM/RAG integration, and connect infrastructure, identity, data and cost telemetry to mission outcomes.

The role involves designing bounded evaluations, documenting tradeoffs, and coordinating engineers and independent review teams.

Qualifications

• Hands-on architecture and implementation experience with Kubernetes and cloud providers (AWS/Azure/Google).
• Experience diagnosing failures across infrastructure, app, identity and data layers.
• Experience evaluating LLM/RAG platform integration, deployment controls, cost telemetry.

Responsabilités

• Map current architecture and evaluate interoperability, portability, failure modes and dependencies.
• Design bounded evaluations of platform alternatives and document tradeoffs.
• Evaluate Kubernetes, cloud and DevSecOps configurations, workload identity, observability, recovery and deployment controls.
• Develop 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.

Connaissances

Kubernetes

AWS

Azure

Google Cloud

LLM/RAG

DevSecOps

Cost telemetry

Outils

Databricks

Collibra

MuleSoft

Traceable

Description du poste

26-0098-002 | 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-ICE_ADTS_Sep2026). 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.

Your contribution

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 DevSecOps 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.

Evidence we will discuss

• 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.

Technical context

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, MuleSoft 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.

Engagement conditions

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.