Innovation Architect - Modern Workplace

Required Qualifications & Experience

Education:

Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Advanced degrees or relevant certifications (e.g. in AI/ML or Enterprise Architecture) are a plus.

Experience:

Approximately8-10 years of experienceworking with cutting-edge technologies in enterprise environments r . This should include hands-on architecture or development of AI/ML solutions, intelligent automation, and systems integration projects. Prior roles could be in solution architecture, innovation labs, or enterprise architecture functions.

AI/ML Expertise:

background in artificial intelligence and machine learning. Experience designing or implementing solutions such as predictive analytics, natural language processing,conversational AI (chatbots), orgenerative AIapplications. Familiarity with AI frameworks (TensorFlow, PyTorch) and AI cloud services (Azure AI, Google Vertex AI, AWS ML services, etc.).

Automation & Integration:

Proven experience with enterprise automation tools and integration techniques. This may include RPA platforms (e.g. UiPath, Automation Anywhere), workflow automation, business process management suites, or custom scripting to integrate systems. Ability to design integrations via APIs, ETL pipelines, message queues, or middleware to connect heterogeneous systems.

Enterprise Systems Knowledge:

Broad understanding of enterprise application landscapes - for example, experience working with or integratingSaaS platformslike ServiceNow (ITSM workflows), Salesforce (CRM), Workday (HRIS), Oracle or SAP (ERP), and industry-specific systems (such as EHRs in healthcare). Able to quickly learn new platforms capabilities and constraints to design compatible innovative solutions.

Architecture & Security Acumen:

Deep knowledge of enterprise architecture principles and design patterns. Familiarity with architecture frameworks (TOGAF or similar) and cloud architecture best practices.Experience navigating architecture governance, compliance, and data security in large organizations- e.g. understanding data protection policies, identity and access management, network security basics, and regulatory constraints that affect solution design.

Project Leadership:

Demonstrated ability to lead technology projects or innovation initiatives end-to-end. Skilled in agile project management and comfortable overseeing fast-paced prototype development. Able to coordinate cross-functional teams (developers, analysts, UX, etc.) and external vendors if required.

Communication & Stakeholder Management:

Problem-Solving & Innovation Mindset:

A creative thinker who stays updated on emerging tech trends. Passion for experimenting with new tools and approaches. Comfortable with a fail-fast mindset to quickly prototype, learn, and iterate. Strong analytical and problem-solving skills to devise innovative solutions to complex business problems.

Adaptability:

Experience working in ambiguous, evolving environments. Ability to adapt to different industries and client contexts quickly. Enthusiasm for continuous learning and upskilling in fast-moving technology domains.