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Owns enterprise architecture for customer accounts, designing integrations, deployments, security, and infrastructure spanning Innovapptive's platform and systems such as SAP and IBM Maximo. Supports technical evaluations, partners with field engineering through go-live and stabilization, participates in architecture governance, makes cross-environment trade-offs, and mentors engineers. Requires deep enterprise integration expertise, customer-facing technical leadership, and experience supporting complex B2B software deployments.

Lead end-to-end enterprise SaaS implementation projects using a Waterfall delivery model. Responsibilities include planning, scheduling, risk and change management, budget and margin governance, stakeholder communication, customer governance, cross-functional team coordination, UAT, go-live, and value realization. The role also requires mentoring and influencing teams, managing contractual commitments, and applying AI tools such as ChatGPT, Copilot, and Jira AI to improve productivity and reporting.

Develop and maintain full-stack mobile and web applications using Node.js, Angular or React, databases, APIs, and microservices. Build scalable front-end and back-end solutions, integrate third-party tools, manage cloud deployments, optimize performance and security, and collaborate with UX, customers, and cross-functional teams. The role also requires technical documentation, agile development, and occasional customer travel.

Leads architecture and hands-on development for complex mobile and web SaaS platforms. Designs scalable APIs, microservices, data models, and cloud deployments while owning reliability, security, performance, and maintainability. Mentors senior engineers, drives technical standards, resolves production issues, partners cross-functionally, and helps integrate responsible AI capabilities. The role uses Node.js, MongoDB/DynamoDB, Angular or React, React Native, AWS, Docker, Kubernetes, and CI/CD practices.

Owns end-to-end quality for mobile, web, and API products by designing risk-based test strategies, developing automated test frameworks, integrating suites into CI/CD, and validating enterprise workflows. Performs functional, integration, regression, exploratory, performance, security, and accessibility testing. The role also mentors QA engineers, manages test reporting and defects, supports release certification, investigates escaped defects, and validates SAP, IBM Maximo, offline, synchronization, and customer scenarios.

Lead and build the L1 customer support engineering function for an enterprise SaaS platform. Own triage, severity and priority management, SLAs, escalations, first-contact resolution, ticket quality, knowledge resources, customer communications, support metrics, and tooling integrations. Establish a 24x7 support model through shift rotations and hiring, while recruiting, mentoring, and developing L1 engineers.

Own the stability, scalability, and deployment safety of AWS-based, Kubernetes-orchestrated multi-tenant infrastructure. Manage EKS environments, automate infrastructure with Terraform and Helm, support frequent releases through canary deployments and rollbacks, and implement monitoring, SLIs/SLOs, alerting, and chaos engineering. Participate in on-call incident response, conduct root cause analyses, write post-mortems, automate manual processes, and maintain operational runbooks.

Own and scale Innovapptive’s Operations product suite for enterprise manufacturing and asset-intensive customers. Lead product strategy, roadmap, discovery, delivery, metrics, adoption, and go-to-market activities. Translate manufacturing workflows into effective product experiences, drive operational excellence and frontline productivity, collaborate with engineering and commercial teams, and mentor product managers. The role requires strong B2B SaaS product leadership, manufacturing or operations domain expertise, and experience with metrics, enterprise customers, and cross-functional delivery.

Leads the AI Engineering team building and operating enterprise AI agents for industrial SaaS. Owns agent architecture, prompt engineering, RAG and knowledge infrastructure, model evaluation, deployment, observability, governance, and production reliability. Partners with Product, Platform, and customer-facing teams to deliver trusted AI capabilities. Responsibilities also include hiring, coaching, performance management, sprint delivery, and quality measurement.

The role requires a Senior Solution Consultant to work with industrial clients, utilizing maintenance and reliability expertise to drive value-based sales and solution design.