ROLE : AI Architect

This role will work closely with the Innovation team and Clients to identify transformative use cases and rapidly prototype solutions. The Senior Innovation Architect ensures all innovative solutions align with the clients security requirements and enterprise architecture standards, while spearheading projects in cutting-edge domains like agentified AI, conversational AI, and enterprise automation. The position demands a strong blend of technical expertise in AI/ML and automation, enterprise system knowledge, and excellent stakeholder management skills to bridge business goals with emerging technologies.

Key Responsibilities :

- Innovation Use Case Identification: Engage with client stakeholders and Internal Leadership to uncover and prioritize high-impact innovation opportunities. Analyse business challenges and identify use cases where emerging technologies (AI, automation, analytics) can deliver significant value. Develop innovation roadmaps aligned to client business goals.

- Solution Architecture and Alignment: Design end-to-end solutions for approved innovation use cases, creating solid architectures that balance novelty with feasibility. Ensure all solutions adhere to the clients security policies and enterprise architecture standards. Work with client Enterprise Architecture and Security teams to obtain necessary design approvals and ensure governance compliance.

- Lead Innovation Pods: Lead cross-functional innovation pods small, agile teams to rapidly develop prototypes and pilot solutions. Coordinate developers, domain SMEs, and designers in an autonomous pod to deliver proofs-of-concept and MVPs using agile methodologies.

- Technical Leadership in AI and Automation: Serve as the subject matter expert in emerging technologies.

Focus Areas:

- Agentified AI: Implement AI-driven agents or autonomous processes that can perform tasks or decision-making on behalf of users.

- Conversational AI: Develop intelligent chatbots and voice assistants for enterprise use.

- Enterprise Automation: Drive process automation initiatives (e.g. RPA, workflow orchestration, intelligent BPA) to streamline operations.

- Cross-Platform Integration: Oversee the integration of innovative solutions with enterprise platforms and data sources. Work across diverse technologies for example, embedding AI/automation into Microsoft and Google Cloud ecosystems, ServiceNow workflows, Salesforce, Workday, Oracle ERP, or healthcare systems.

- Client Collaboration and Management: Act as a primary point of contact for innovation projects with clients. Facilitate workshops and ideation sessions to shape solution concepts. Manage stakeholder expectations through clear communication of project scope, timelines, and impact.

- Alignment with Compliance and Standards: Navigate enterprise processes to get innovations from idea to deployment. Work within client architecture review boards, compliance reviews, and security assessments to ensure solutions meet regulatory and data security standards (e.g. GDPR, HIPAA, ISO 27001).

- ROI Analysis and Business Case: Contribute to defining KPIs and success metrics. Help prepare business cases or ROI analyses to demonstrate the expected benefits of the innovative solution.

- Mentoring and Knowledge Sharing: Mentor junior architects and technical team members in new technologies and architecture best practices.

Required Qualifications :

- Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- Experience: Approximately 810 years of experience working with cutting-edge technologies in enterprise environments, including hands-on architecture or development of AI/ML solutions, intelligent automation, and systems integration.

- AI/ML Expertise: Strong background in artificial intelligence and machine learning. Experience designing or implementing solutions such as predictive analytics, NLP, conversational AI, or generative AI applications. Familiarity with AI frameworks (TensorFlow, PyTorch) and AI cloud services (Azure AI, Google Vertex AI, AWS ML services).

- Automation and Integration: Proven experience with enterprise automation tools (RPA, workflow automation, BPM) and integration techniques (APIs, ETL, message queues, middleware).

- Enterprise Systems Knowledge: Broad understanding of enterprise application landscapes (ServiceNow, Salesforce, Workday, Oracle/SAP).

- Architecture and Security Acumen: Deep knowledge of enterprise architecture principles (TOGAF), cloud architecture, and data security/compliance in large organizations.

- Project Leadership: Demonstrated ability to lead technology projects end-to-end using agile methodologies.

- Communication: Excellent client-facing communication skills. Proven ability to engage with both technical and non-technical stakeholders.

Tech Stack :

- AI/ML: Deep learning, NLP, Computer Vision, TensorFlow, PyTorch, Generative AI (GPT-4, DALLE).

- Cloud Platforms: Microsoft Azure, Google Cloud, or AWS.

- Enterprise Software: CRM, ERP, ITSM, HRIS systems.

- Automation: RPA tools, workflow orchestration, scripting.