Location- New York, NY
Contract
Contract
Architecture Strategy & Design
Define the overall technical architecture for complex Enterprise Systems & platforms, including:
AI Knowledge Graph & Knowledge Base
Policy-as-Code enforcement (OPA/Rego/Conftest)
Drift detection pipelines using telemetry and runtime analytics GenAI-based remediation and recommendation engine Design the system to integrate with enterprise CI/CD, IaC, Observability, and EA repositories. Establish the Core AI Platform architecture including ingestion, risk scoring, event bus, and continuous learning components. Author Architecture Decision Records (ADRs) and maintain traceability to design standards.
– AI & Automation Integration
Lead the AI enablement of architecture governance:
Supervise development of contextual GenAI assistants for code reviews, PR validation, and remediation recommendations.
Define ML models for risk scoring and anomaly detection using historical drift patterns.
Oversee implementation of feedback loops for continuous learning and accuracy improvement.
Collaborate with data scientists and AI engineers to define data pipelines for training and inference.
– Governance & Standards
Translate enterprise architecture standards into machine-readable policies through OPA/Rego rules.
Define the lifecycle for Policy-as-Code, including authoring, versioning, approval, and automated enforcement. Establish compliance dashboards, health metrics, and maturity models for architecture conformance. Align architectural automation with frameworks like TOGAF, SAFe, and DevSecOps governance models.
– Platform Engineering Leadership
Work with CI/CD, Observability, and Cloud platform teams to embed drift detection hooks into pipelines and runtime systems.
Define integration patterns with tools such as:
GitHub/GitLab, Jenkins, Terraform, Kubernetes, OpenTelemetry, Grafana, Elastic Stack, etc.
Oversee development of the Event Bus, API layer, and microservice architecture for scalability and resilience.
Guide implementation of the Remediation Engine — from automated PR generation to compliance re-validation.
– Stakeholder Engagement
Partner with Enterprise Architects, CIO Office, and Product Owners to translate governance needs into actionable platform capabilities.
Present architectural roadmaps, drift analytics, and AI insights to CXO-level stakeholders.
Evangelize the “AI-enabled architecture governance” paradigm across development and operations teams.
Coach and mentor technical architects, data engineers, and developers on architecture observability and drift prevention.
Qualifications we seek in you!
BE/B Tech/MCA
Excellent written and verbal communication skills
Preferred Qualifications/ Skills
Enterprise Architecture Frameworks: TOGAF, Zachman, C4, Domain-Driven Design (DDD)
AI/ML Integration: Knowledge Graphs, LLM/GenAI use cases (e.g., OpenAI, LangChain, RAG frameworks)
Policy-as-Code: OPA/Rego, Conftest, Kyverno, Checkov
CI/CD & IaC: GitHub Actions, Jenkins, ArgoCD, Terraform, Helm, Kubernetes, Azure DevOps
Observability & Telemetry: OpenTelemetry, Prometheus, Grafana, APM tools
Event Streaming & Messaging: Kafka, Pub/Sub, or equivalent
Cloud & Containerization: Kubernetes, Docker, OpenShift
Programming & Scripting: Python (mandatory), Go, or TypeScript (for automation and AI workflows.
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