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26-0098-007 | API Integration and Security Consultant — MuleSoft / Traceable — 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.

Opportunity

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

Evaluate reliable, secure integration across enterprise data and AI workflows. Translate API behavior and security telemetry into concrete architecture and operational recommendations.

Responsibilities

  • Assess API contracts, identity propagation, authorization policies and sensitive-data handling.
  • Evaluate MuleSoft integration and Traceable/API security coverage, telemetry and operational dependencies.
  • Review retries, timeouts, idempotency, rate limits, upstream failure and recovery behavior.
  • Trace authorized requests across service boundaries and document measurable reliability and security improvements.

Relevant experience

  • Hands-on enterprise API integration or API security experience, with strong depth in MuleSoft or Traceable and ability to assess adjacent components.
  • Demonstrated implementation or evaluation of API policies, identity propagation and failure handling.
  • Ability to interpret usable runtime/security telemetry and relate findings to mission workflows.

Evidence we will discuss

  • An existing redacted API policy/configuration and request-flow walkthrough.
  • Evidence of denied access or integration failure, diagnostic telemetry and verified remediation.

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.

How to express interest

Please provide a current résumé, your relevant role interests, and availability for opportunity-specific RFI qualification discussions and potential contingent work. Describe your personal contribution to relevant engagements and offer existing public, candidate-owned, authorized or appropriately redacted work examples for a walkthrough. Do not send classified, controlled, client-confidential or proprietary material you are not authorized to share. We do not request unpaid client deliverables. Any paid assessment or project work would require agreed terms before it begins. Before using your résumé or identifying you in an opportunity response, we will seek your opportunity-specific consent and confirm role, availability and relevant conflicts or restrictions.