1. Elite AI + Infra/Security Candidate Profile
Core Domain Expertise
- AI/ML Engineering (beyond API wrappers)
- Hands-on with LLMs, embeddings, NLP pipelines, graph neural networks.
- Experience training and fine-tuning models on proprietary datasets (not just calling OpenAI/Anthropic APIs).
- Vector DB design & optimization (Pinecone, Weaviate, Milvus, pgvector).
- Building self-learning agents (autonomous workflows, continuous retraining).
- AI scaling at enterprise/Gov level (model serving, latency optimization, GPU orchestration on Kubernetes).
My platform promises entity resolution, AML, compliance automation, ownership tracing — that requires custom AI beyond GPT-API calls. We need someone who can design AI as infrastructure, not as a feature.
2. Enterprise-Grade Infrastructure / Cloud
- Mastery in multi-tenant SaaS architecture (org-level isolation, tenant-based encryption).
- Cloud-neutral deployment (AWS GovCloud, Azure Government, GCP), with on-prem fallback for agencies that refuse cloud.
- Kubernetes expert: secure cluster management, horizontal scaling, service mesh (Istio/Linkerd).
- Terraform/IaC for reproducible deployments.
- Strong observability stack (Prometheus, Grafana, ELK/EFK).
⚡ Why: Government clients (DoD, law enforcement, state agencies) will demand isolation, auditability, redundancy, disaster recovery. I need more than a Dev that can deploy on AWS. We need elite ones can make it bank + government compliant at scale.
3.Security + Compliance
- Hands-on with SOC 2, ISO 27001, FedRAMP, NIST 800-53, FIPS 140-2.
- Zero Trust architecture: fine-grained RBAC, ABAC, just-in-time access.
- Encryption expert: KMS/HSM integration, end-to-end encryption, secrets management (Vault).
- Audit logging: immutable, tamper-proof, exportable.
- Threat modeling + Red Teaming: able to think like a nation-state adversary.
- Proven ability to pass formal audits (they’ve led companies through SOC2/FedRAMP).
⚡ Why: Without this, we fail procurement. You must guarantee that you can pass state CIO, a bank’s compliance officer, or a DoD procurement team.
4.Data Architecture & Pipelines
- Experience building real-time ETL pipelines at scale (Kafka, Pulsar, Kinesis).
- Data lineage & provenance tracking (knowing where every record came from).
- Strong grounding in graph databases (Neo4j, JanusGraph, TigerGraph) for entity & relationship mapping.
- High-availability API design (rate limiting, multi-region, low latency).
⚡ Why: Our moat is in data aggregation + resolution. You must know how to make the system bulletproof, traceable, and scalable.
5.Government/Defense-Grade Delivery
- Previous work in defense contractors, Palantir, Anduril, SpaceX, Raytheon, Lockheed, etc.
- Eligible for Top Secret/SCI clearance (already cleared is a bonus).
- Comfort with classified environments, including air-gapped deployments and hardened infra.
- Familiarity with export control laws (ITAR, EAR) if you expand globally.
⚡ Why: We’re targeting DoD, state AGs, sheriffs, IRS, ICE, etc. They trust vendors who already speak their language.
Soft/Leadership Capabilities
- Hands-on builder: Not just PowerPoint architecture. Must ship code, ship infra.
- Mentorship: Can lead and train your existing engineers (Ashar, Adedayo, Dmitry) to think compliance-first.
- Small-team operator: Comfortable as the only elite infra/security person in a 3–4 person startup team.
- Strategic thinker: Understands how to frame tech decisions for investors and government RFPs.
Scope:
- Own AI systems (beyond API integration → proprietary models, entity resolution, AI agents).
- Own infra/security (multi-tenant, cloud/on-prem, compliance, SOC/FedRAMP).
- Ensure government & bank readiness from day one.
Bottom Line:
The person we need is not just “AI + DevOps.” They are a rare hybrid of AI systems engineer + compliance-grade infra architect + government-trusted security engineer. Think ex-Palantir engineer who built entity resolution at scale, or ex-Anduril engineer who handled GovCloud deployments, or ex-SpaceX infra/security lead.
