Jobs at Appnovation

Leads multiple NetSuite consulting engagements, overseeing requirements, implementation, testing, integrations, training, troubleshooting, account management, and client relationships. Manages project allocations, team capacity, and billable hours while guiding enterprise architecture and business process improvements. The role also develops consulting teams, supports practice growth, and advises executive stakeholders on scalable technology strategies.

Own reliability and operations for a self-hosted LLM observability platform running on Kubernetes and AWS. Responsibilities include operating ClickHouse, PostgreSQL, Redis, and ingestion workers; implementing monitoring, alerting, and service levels; testing backups and restores; safely upgrading software; maintaining infrastructure as code; automating recurring tasks; and creating runbooks, SOPs, onboarding, and support processes.

Own product requirements, user stories, process maps, backlogs, and prioritization for consulting workstreams. Translate stakeholder needs and strategy into delivery-ready artifacts, contribute to product strategy, customer experience, service design, transformation, and research initiatives, and support continuity through design, development, and QA. Facilitate stakeholder sessions, identify risks and dependencies, support proposals, use AI-assisted tools, and coach junior team members.

Lead multiple complex digital projects from discovery through execution. Responsibilities include defining schedules, plans, scopes, budgets, resource plans, risks, and project documentation; managing client relationships, teams, profitability, and delivery processes; supporting pre-sales and RFP responses; and guiding cross-functional technical and creative teams using Agile, Waterfall, and Scrum methodologies.

Lead enterprise web and CMS digital transformation projects from discovery through post-launch optimization. Manage scope, budgets, schedules, profitability, risks, resources, and cross-functional teams. Serve as the primary enterprise client contact, facilitate discovery workshops, oversee technical delivery, and support pre-sales activities including RFPs and statements of work. Drive project governance, stakeholder communication, client growth, and continuous delivery improvement across complex multi-site, replatforming, and headless implementations.

Build and operate reliability and observability capabilities for an internal AWS Bedrock AgentCore platform. Responsibilities include OpenTelemetry instrumentation, CloudWatch and enterprise observability integrations, distributed tracing, SLOs, alerting, token and compute cost monitoring, dashboards, runbooks, incident response, and post-incident improvements. The role requires strong AWS, SRE, observability, FinOps, scripting, and coding experience, with preferred exposure to LLM monitoring, infrastructure as code, and regulated industries.

Build the agent-facing platform layer, including runtime patterns, memory, orchestration, multi-agent handoffs, governed tools, MCP servers, authentication, legacy integrations, evaluations, and guardrails. Develop production-quality reference implementations and standards using AWS and agent frameworks. Support enterprise teams through documentation, walkthroughs, and enablement while ensuring secure access, reliable error handling, testing, and reusable code.

Build and own AWS platform foundations, including multi-account environments, networking, IAM boundaries, reusable infrastructure-as-code modules, CI/CD pipelines, container delivery, and AgentCore Runtime deployments. Automate environment promotion, security controls, secrets management, compliance, rollback, and observability. Create golden-path templates, documentation, and runbooks while collaborating with client security teams and blended vendor teams.

Manage multiple digital projects from discovery through deployment, overseeing schedules, scope, budgets, resources, risks, profitability, and client relationships. Lead cross-functional teams using Agile and Waterfall methodologies, including Scrum. Prepare project plans, statements of work, status reports, and estimates; support pre-sales and process improvement; and identify client growth opportunities. Requires strong leadership, communication, planning, and Cantonese-English bilingual skills.

Owns end-to-end technical architecture for enterprise marketing technology ecosystems serving life sciences clients. Sets cross-platform standards, aligns engineering roadmaps, leads architecture reviews, and ensures traceability across content, experiences, and performance data. Develops safe AI-enabled patient and HCP experiences, reusable AI capabilities, and integrations with third-party platforms. Partners with senior stakeholders, regulated-industry reviewers, and platform teams while mentoring engineers and driving solutions into production.

Build AI-assisted, production-ready full-stack applications from concept and prototype through deployment, with a strong frontend focus. Develop accessible React, Vue, and Nuxt interfaces aligned with design systems, implement backend APIs and services, manage SQL and NoSQL databases, and optimize authentication, caching, performance, and scalability. Collaborate with designers and innovation teams while using AI design tools, Figma, specification-driven workflows, and cloud deployment practices.

Leads multidisciplinary engineering teams delivering AI-powered products. Responsibilities include setting technical vision, managing cloud architecture and full-stack development, overseeing scalable application design and deployment, collaborating with product and executive stakeholders, and enforcing engineering governance, CI/CD, security, code quality, and agile delivery practices. The role requires hands-on expertise with modern frontend and backend technologies, cloud platforms, AI integrations, machine learning pipelines, and technical team leadership.

Build and scale high-performance web applications using React, Next.js, Node.js, Express, and TypeScript. Develop responsive interfaces, RESTful APIs, server-side modules, database schemas, and AI inference optimizations. Participate in architecture discussions, deployment, testing, code reviews, and the full software development lifecycle while collaborating with designers, product managers, and senior engineers.

Leads high-value consulting engagements spanning product strategy, customer experience, service design, transformation, MarTech, and change strategy. Advises senior clients, shapes strategic direction, oversees quality, leads proposals and account growth, develops practice standards and talent, and promotes AI-enabled strategic thinking and prototyping.

Create and maintain visual brand assets across print and digital channels, including brochures, banners, social media content, web assets, infographics, refreshed UI/UX elements, video tutorials, and motion graphics. Ensure brand consistency, accurate healthcare and service information, and strong visual storytelling across user touchpoints.

Configure, govern, and optimize enterprise AI assistant platforms including Claude, Gemini, and Copilot Studio. Evaluate connectors, MCPs, and plugins for functionality and security; build custom integrations and complex multi-agent solutions; troubleshoot platform issues; and support cross-functional teams. The role requires strong software engineering, testing, CI/CD, communication, and autonomous problem-solving skills in a fast-moving consulting environment.

Lead the concept-to-production development of AI-augmented, full-stack enterprise applications. Define architecture, design-system, accessibility, security, and deployment standards; integrate Figma systems with AI development tools; oversee backend services, APIs, databases, and authentication; optimize Jira workflows; and mentor developers while partnering across strategy, design, and technology teams.

Leads technical strategy and architecture for a global business division, defining target-state architecture, standards, integration patterns, and technology roadmaps. Represents the division on architecture reviews, aligns initiatives with enterprise platforms, establishes reusable capabilities, and advises senior stakeholders. Provides hands-on technical guidance, mentorship, and forward-deployed engineering support while advancing AI-enabled delivery, security, reliability, governance, scalability, and operational excellence.

Leads the technical strategy, target architecture, engineering teams, and governance for a global digital platform. Translates ambiguous business needs into scalable, secure, reusable technology solutions; establishes technical standards; guides architecture and investment decisions; applies AI and automation responsibly; and develops engineering talent. Requires extensive hands-on expertise in cloud platforms, APIs, data integration, security, reliability, and enterprise-scale technology delivery, plus strong stakeholder influence and consulting experience.

Own the technical strategy, target architecture, standards, and roadmap for a global digital platform. Lead engineering teams, guide architecture and integration decisions, partner with senior stakeholders, and apply AI-enabled delivery responsibly. Establish requirements for security, reliability, governance, observability, scalability, and operational excellence while developing technical talent and driving reusable digital capabilities.