Director, Engineering | Principal Engineer​/Manager

Own global software delivery for our AI solutions portfolio-roadmaps, release plans, staffing, budgets, quality, and operational readiness across regions and time zones. Lead and grow a high-performing, global engineering team (managers and ICs); set standards for design, coding, testing, security, and documentation; cultivate a culture of ownership, inclusion, and continuous improvement. Deliver enterprise-grade AI applications: chatbots and virtual assistants, MCP servers, workflow/decision engines, and agentic automations for complex business processes.

Drive architecture and technical strategy for full-stack solutions (web and mobile) and platform integrations (APIs, events, data, identity, observability). Scale with cloud-native practices: containerized services (Docker) orchestrated via Kubernetes; enforce IaC, Git Ops, CI/CD, blue/green and canary strategies, and progressive delivery. Ensure data excellence across SQL/No

SQL/Search (incl. Elasticsearch): schema design, indexing, performance, backup/restore, governance, and cost management. Operationalize AI systems: define SLOs/SLAs, telemetry/observability (logs, metrics, traces), incident management, on-call rotations, and post-incident learning. Champion security and compliance by design: least-privilege access, secrets management, policy controls, PII handling, auditability, and adherence to enterprise standards. Manage a multi-project portfolio: intake & prioritization, cross-team dependencies, risk mitigation, change management, and executive stakeholder communication.

Standardize frameworks & patterns for LLM orchestration, agentic workflows, retrieval/search, prompt and memory management, and evaluation/guardrails. Partner cross-functionally with Product, Data Science/ML, Platform/SRE, Security, and Business stakeholders to translate objectives into shippable, high-impact solutions. Measure what matters: establish OKRs and engineering KPIs (quality, reliability, velocity, cost); use data to guide decisions and continually raise the bar. Vendor and ecosystem management: evaluate tools and frameworks, negotiate licenses, manage partners, and ensure interoperability within the enterprise stack.

Architecture and systems design expertise for distributed, event-driven, and API-first systems with strong reliability and security postures. Leverages expert Software knowledge and experience to implement and drive the design, development, creation, modification, and validation of embedded and cloud edge software, applications, and/or specialized utility programs. Analyzes user needs, software requirements, and time and cost constraints to direct and drive the design and customization of highly sophisticated software with maximum operational efficiency.

Directs the resolution of design, coding, and other technical issues by presenting end-to-end solutions. Influences and communicates guidelines for design, coding, and testing efforts and ensures projects are completed to specifications and schedules. Directs, influences, and drives code reviews, regression tests, and the triage of issues to ensure the quality of code. Collaborates with high-level representatives from other functions (e.g., testing group, product group, customers) to plan functionality of end-to-end systems.

Sets and communicates the strategic direction for the discipline across the organization; identifies and promotes a unifying vision throughout the organization with associated long-term goals. Communicates guidelines across teams for writing detailed technical documentation for Software projects; writes and reviews technical documentation for highly complex projects. Bachelor's degree in Engineering or related field (Computer Science, Electrical/Computer Engineering, or equivalent). 15+ years of overall software engineering experience with progressive leadership responsibility.

~10 years relevant leadership experience leading software engineering teams delivering enterprise products/platforms. Demonstrated success running global teams and delivering multiple concurrent projects in a complex enterprise environment. Advanced degree (MS/PhD) in a relevant engineering discipline. LLM/AI ecosystem expertise: orchestration frameworks (e.g., Lang Chain, Semantic Kernel), RAG/search patterns, evaluation/guardrails, vector indexing; experience standardizing agentic patterns ile at scale:
React Native architecture, release pipelines, app store operations, and mobile observability. Dev Sec Ops  & SRE tooling:
IaC (Terraform/Helm), Git Ops (ArgoCD/Flux), Open Telemetry, Prometheus/Grafana, feature flags, canary/AB testing. Data & streaming:
Kafka or equivalent, CDC, event sourcing, and data contracts; experience with feature stores and ML metadata systems a plus. MLOps familiarity: model registries, inference gateways, evaluation pipelines, and performance monitoring (latency/cost/quality). Identity & security: SSO, OAuth2/OIDC, RBAC/ABAC, secrets/KMS; compliance experience (e.g., SOX, HIPAA,…