Top Director Of Engineering Jobs

Lead strategy and delivery for shared enterprise platforms (Illustrations, Tax, Policy Generation, Integration Services). Modernize legacy systems to cloud-native, API-first, event-driven architectures. Build and develop large engineering teams, drive architectural decisions, ensure reliability, security, scalability, observability, CI/CD, SRE practices, and reduce technical debt while delivering measurable business outcomes.

Lead a team that builds and operates SDLC tooling and AI-enabled developer infrastructure. Own delivery, reliability, adoption, reporting, audit automation, sensitive-data protections, and governance for LLMs and agentic tooling. Partner with Architecture, Security, Privacy, and Engineering Excellence to translate standards into workflows, measure outcomes, and enable developer training and documentation. Hire, coach, and manage DevOps engineers, tooling admins, and developers to drive measurable engineering productivity improvements.

Lead engineering for the Spend domain in the US, owning technical strategy and roadmap for corporate cards, expense management, and spend workflows. Partner with Product, Design, and Commercial to translate business strategy into technical execution, scale and mentor San Francisco engineering teams, drive operational excellence and OKRs, and evolve platform architecture across data engineering, AI, and analytics.

The Platform Engineering Product Director will lead enterprise integration strategy and middleware platforms, focusing on scalability, performance, and integration solutions across various business functions, while mentoring teams and managing vendor relationships.

Lead and grow an AI/ML engineering team to design, build, and integrate generative AI solutions into PBM workflows. Define strategy and roadmap, ensure HIPAA-compliant engineering and model governance, select technologies and vendors, collaborate cross-functionally, deploy production LLMs, monitor performance and ROI, and drive continuous improvement.

The Director of AI Engineering will develop AI-driven solutions, enhance trading workflows, oversee LLMs, and lead AI integration efforts.

Lead and grow Analytics Engineering: define data warehouse and BI strategy, build and optimize ETL/ELT pipelines, design dimensional models in BigQuery using dbt and Airflow, own BI tooling (Looker), ensure data quality and governance, and mentor/manage a distributed analytics engineering team while partnering with stakeholders and platform engineers.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.

Lead multiple engineering teams to define multi-year strategy and target architecture for batch (PySpark/DBX) and streaming (Flink) compute platforms. Own roadmaps, SLAs/SLOs, reliability, cost optimization, developer experience, and secure-by-design implementations. Integrate compute platforms with AI frameworks, define reference patterns for processing, observability, lineage, and reliability, and partner with product, data, and governance stakeholders to deliver compliant, scalable platform services.

Lead a global security engineering org (~20 engineers) to design, deliver, and operate enterprise security platforms including an AI-driven security copilot, endpoint/server antivirus, and container security (image scanning, policy enforcement, runtime protection). Set technical direction, partner with product and infrastructure teams to embed security into workflows, own roadmaps, staffing, budget, and drive adoption across the firm.

Lead a multi-site, multi-discipline engineering organization to deliver and sustain defense-grade wearable and electronic products. Oversee product development, transition to production, staffing, training, configuration control, DFM/DTUPC, and cross-functional collaboration to ensure on-time, on-budget execution and continuous improvement.

Lead engineering design for a used nuclear fuel recycling pilot facility from preliminary design through detailed design, NRC licensing, procurement, and construction. Build and lead the core engineering team, maintain baseline design documentation, develop equipment data sheets, perform and review nuclear analyses (radionuclide inventories, dose rates, shielding, waste classification), participate in HAZOPs and design reviews, guide equipment layout, manage schedule/budget, identify technical risks, and mentor junior engineers.

Lead the Data Products engineering pillar owning technical strategy, clinical data ingestion, canonical modeling, and scalability. Manage ingestion pipelines, customer onboarding, data hygiene, observability, and enterprise reporting. Drive AI-augmented SDLC adoption, ensure regulatory compliance (HIPAA, SOC 2), hire and mentor engineering leaders, and partner with product and data science to deliver a stable, scalable clinical data platform that supports multi-customer growth and clinical insight generation.

Lead and scale a multidisciplinary engineering organization to build the Physical AI Data Engine. Own data collection infrastructure, teleoperation systems, ML training pipelines, evaluation frameworks, annotation tooling, and cross-functional alignment with Operations and GTM to productionize robotics and embodied AI workloads.

Leads the Engineering organization across two remote teams, directly managing, coaching, and developing engineers. Partners with Product to drive timely, high-quality delivery; staffs initiatives, develops technical leads, resolves cross-team risks, supports hiring, and contributes to architecture, technical debt, and scaling decisions. The role oversees execution, engineering process, quality, and team engagement while guiding a high-scale SaaS platform built with TypeScript, Python, Django, React, AWS, Postgres, and Redis.

Supervise hotel engineering, preventive maintenance, repairs, life safety systems, utilities, capital projects, budgets, and compliance. Lead engineering staff through hiring, training, performance management, task assignment, and follow-up. Maintain mechanical, electrical, plumbing, HVAC, pool, grounds, and other property systems while ensuring safe, organized, energy-efficient facilities and adherence to brand, corporate, and regulatory standards.

Lead multiple engineering teams to design, develop, and operate low-latency, high-availability multi-asset Order Management Systems. Drive architecture, delivery, cross-team collaboration, and integration with trading workflows, ETF lifecycle processes, analytics (KDB), and front-end (React) components while ensuring performance, scalability, and operational monitoring.

Lead the global SAP General Ledger engineering team to define strategy, deliver S/4HANA builds, manage production support, drive SAP cloud and BTP initiatives, integrate SAP AI, oversee BW/BPC, manage vendor relationships, and influence senior stakeholders across the firm.

Lead infrastructure software engineering for low-latency electronic trading: set compute strategy, design server platforms and automation, guide config/build management, interface with vendors, mentor teams, and deliver cross-business technical solutions while ensuring governance and operational excellence.

Lead multiple software engineering teams to deliver audit-focused, data-intensive applications. Define strategy, architecture, AI-enabled engineering practices, and SDLC automation. Partner with stakeholders to translate requirements into scalable cloud-native solutions, enforce development standards, mentor engineers, manage budgets/resources, and ensure secure, compliant delivery.

Lead a technical area within Digital Channels to deliver secure, reusable web platform solutions. Set governance for agentic AI-enabled engineering and SDLC/TLM automation, improve automation value, ensure security and resiliency, and influence stakeholders while managing resources, budgets, hiring, and cross-functional delivery.

Lead multiple engineering teams to build and operate a cloud-native Talent Acquisition platform. Own architecture, modernization, integrations, reliability, security, SDLC governance, vendor management, and adoption of responsible AI-assisted engineering to deliver measurable business outcomes.

Lead hands-on engineering for HR Pay & Time systems: design and operate highly available, serverless AWS applications, build full-stack services (Java/Python/front-end), drive AI-native and agentic engineering, enforce CI/CD, IaC, security and compliance, and hire/mentor teams while partnering with product and operations to deliver resilient payroll, benefits, and compensation capabilities.

Lead multiple software engineering organizations to define and scale agentic AI-enabled engineering, SDLC/TLM automation, cloud-native architectures, and portfolio-level governance. Drive cross-functional adoption of AI-assisted development, resilience engineering, test modernization, release governance, and incident response while managing stakeholders, talent development, and delivery at enterprise scale.

Lead design and delivery of ultra-low latency FPGA-based market data and trading pipelines. Define architecture, verification strategy (Python/Cocotb, SystemVerilog/UVM), networking (TCP/IP, PTP), Layer 1 switching and microwave connectivity, and production-grade operational controls. Drive AI-assisted, spec-driven FPGA workflows, coordinate vendors and internal teams, and ensure timing closure, performance predictability, and robust verification to production rollout.