Job Description
Our Client, an IT Services and Consultant company, is looking for a Principal Full-Stack AI Engineer — Platform Architect for their New York, NY/ Hybrid location.
Responsibilities:
Requirements:
Why Should You Apply?
Responsibilities:
- Personally build the hardest pieces — the lifecycle registries; the AI control-plane services that plug into the enterprise gateway (registries, PII/PHI and prompt-injection scanning as a gateway policy, token-aware metering and multi-vendor cost attribution, AI trace/observability, and the multi-provider model-abstraction layer behind its fail-over); and the harness/memory & skills services.
- Build the agent-building paved road — the scaffolds, patterns and sub-agent topologies the team uses to stand up new agents fast, including the end-to-end builder agent (architect → provision → implement → test sub-agent → deploy → post-process → log).
- Deliver platform features as agents where it fits (e.g. a lifecycle-management agent, a skills-planning agent) — so the platform builds and operates itself, not just exposes CRUD APIs.
- Enforce portability in code — containerize everything; standardize lineage on MLflow + metadata, telemetry on OpenTelemetry, table formats on Delta UniForm / Iceberg, and open-weight serving on vLLM/Ray/DeepSpeed.
- Set the engineering bar — testing, CI/CD, IaC and security-by-default standards; review the team's hardest designs and pull requests; mentor the senior engineers.
- Build with AI and build agents end to end — like everyone on the team.
Requirements:
- Principal-level full-stack — you build production services end to end (backend, APIs, and enough frontend to ship the registry and dev UIs) and you own systems in production.
- Distributed systems & platform engineering — Kubernetes, containers, IaC (Terraform), CI/CD, secrets/RBAC, and multi-tenant service design.
- Cloud depth with a portable mindset — strong on GCP (GKE, Vertex AI, IAM, VPC Service Controls, BigQuery), but standards-first by instinct.
- Hands-on GenAI / agentic engineering — LLM and agent runtimes, multi-agent and sub-agent orchestration, A2A and MCP/tool integration, retrieval/RAG, memory systems, and end-to-end builder agents.
- Security & governance by design — identity-aware access, PII/PHI handling, runtime guardrails, gateway/policy-as-code, and audit/observability.
- AI-assisted engineering — fluent and effective with AI coding tools (Cursor, Claude Code, Copilot, Windsurf or equivalent), and able to define the patterns and review discipline the team uses with them.
- Strong software engineering background — strong Python (and typically one of Go / Java / TypeScript).
- 13.00 Years of Experience
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Numbers & Facts
| Location | New York, NY |
| Industry | Management Consulting Services |
| Salary | $17–$64.29 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Benefits
401K, Employee Referral Program, Life Insurance
About Company
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
- Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
- Founded in 2000
- 2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.
Skills
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Cloud Computingunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Distributed Computingunmatched
- Failoverunmatched
- GCP (Good Clinical Practices)unmatched
- Health Planunmatched
- Information Technology Consultingunmatched
- Injectionsunmatched
- Javaunmatched
- MCP - Microsoft Certified Professionalunmatched
- Memory Hardwareunmatched
- Mentoringunmatched
- Metadataunmatched
- Production Systemsunmatched
- Python Programming/Scripting Languageunmatched
- Roadway Constructionunmatched
- Scaffoldingunmatched
- Software Engineeringunmatched
- Systems Engineeringunmatched
- Telemetryunmatched
- Testingunmatched
- Topologyunmatched
- User Interface/Experience (UI/UX)unmatched
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