Job Specification: AI Architect (Role : AIOps Platform Architect) We are seeking an experienced and highly skilled AI Architect to provide strategic leadership and hands-on expertise in designing, implementing, and scaling enterprise AI solutions. This role requires a proven specialist capable of translating business objectives into AI-driven outcomes while ensuring alignment with enterprise architecture, governance, and operational requirements. Key Responsibilities & Requirements: Help identify and evaluate evolving AI/Agentic/Automation technologies, tools, and approaches that could benefit CLIENT and apply in their context (Controls/Governance/Domain) Help drive Program functions described above to exploit full value of AIOps related spends and efforts Work with underlying CLIENT platform teams to review and evaluate their Roadmaps for enablers/dependencies within the overall AIOps Business Case Help continuously evolve and enhance the AIOps Business Case Provide expert architectural leadership for AI and Generative AI initiatives, leveraging extensive experience in enterprise-scale technology transformation and AI adoption programs. Design end-to-end AI solution architectures, including machine learning, Generative AI, agentic AI, data platforms, and cloud-based AI services. Work closely with business stakeholders, product owners, technology teams, and program leadership to identify and prioritize AI use cases that deliver measurable business value. Define and implement AI architecture standards, design patterns, governance frameworks, and best practices across the organization. Possess deep expertise in AI/ML technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, vector databases, and modern AI platforms . Lead the evaluation, selection, and integration of AI tools, platforms, and services while ensuring scalability, security, reliability, and cost optimization. Translate business requirements into technical solution designs and provide guidance throughout the development and deployment lifecycle. Ensure compliance with enterprise security, privacy, responsible AI, and regulatory requirements. Act as a hands-on contributor, supporting solution teams in architecture reviews, proof-of-concepts, pilot implementations, and production deployments. Collaborate with data engineering, application development, and infrastructure teams to establish robust AI operating models and delivery frameworks. Identify and mitigate technical, operational, and governance risks associated with AI implementations. Develop AI roadmaps and reference architectures that support long-term organizational strategy and innovation objectives. Demonstrate exceptional communication and stakeholder management skills, particularly when engaging with senior leadership and executive stakeholders. Operate effectively in fast-paced, dynamic environments, delivering measurable outcomes and accelerating AI adoption across the enterprise. Preferred Qualifications: Extensive experience in enterprise architecture, AI/ML solution design, and digital transformation programs. Strong knowledge of cloud platforms such as Microsoft Azure, Amazon Web Services AWS, and Google Google Cloud. Experience with Generative AI frameworks, AI orchestration platforms, and MLOps practices. Proven track record of delivering AI solutions from concept through production at enterprise scale. Understanding of Responsible AI, AI governance, model lifecycle management, and AI risk frameworks. Excellent problem-solving, analytical, and strategic thinking capabilities.
