Job description

Overview We are looking for a seasoned Enterprise AI Architect to spearhead end-to-end assessments for enterprise-scale AI and intelligent automation initiatives at mid-sized clients. Acting as a trusted advisor to executive leadership, you will diagnose current-state capabilities, craft future-state architectures, and build pragmatic transformation roadmaps that unlock measurable value from Generative AI, machine learning, RPA, and intelligent workflow orchestration. You will bridge executive vision, technology strategy, and delivery execution-balancing quick wins with long-term platform resilience. Responsibilities • Executive Discovery & Assessment: Lead C-suite workshops to capture business objectives, automation pain points, and AI ambitions. • Conduct rapid-maturity assessments using TOGAF/SAFe, AI Capability Maturity Models, and industry benchmarks. • Quantify value pools, ROI, and risk for prioritized use-cases (eg, GenAI copilots, intelligent document processing, autonomous workflows). • Target Architecture & Roadmap: Define end-to-end architectures covering data, application, integration, security, and governance layers-cloud-agnostic but fluent in AWS, Azure, and GCP native AI services. • Establish reference patterns for LLM orchestration, RAG pipelines, agent-based automation, and event-driven microservices. • Craft 12- to 24-month transformation roadmaps with clear milestone KPIs, talent requirements, and change-management plans. • Governance & Operating Model: Design AI/Automation Centers of Excellence, policy guardrails, and federated governance models (data privacy, ethics, compliance). • Recommend platform-selection criteria (build vs. buy) and partner ecosystems. • Proofs of Value & Quick-Win Delivery: Oversee rapid proofs of value to validate assumptions, de-risk technology choices, and demonstrate tangible impact within 90 days. • Thought Leadership & Capability Building: Mentor client and internal teams; publish POVs on emerging AI trends, DevOps-for-ML, and responsible AI frameworks; contribute reusable blueprints, assessment accelerators, and methodology assets across the practice. Qualifications • Education: Bachelor's in Computer Science, Engineering, or related field (Master's or MBA preferred). • Experience: 15+ years in enterprise/solution architecture, with 8+ years leading AI, automation, or digital-transformation programs in a consulting environment. • Technical Depth: Hands-on architecture for GenAI, LLM fine-tuning/RAG, ML Ops, RPA, event streaming, and API-first integration. • Fluency across major hyperscaler stacks (AWS SageMaker & Bedrock, Google Vertex AI & Duet, Azure OpenAI & ML). • Working knowledge of security, data governance, and DevSecOps best practices. • Methodology & Frameworks: TOGAF9/10, Zachman, SAFe, ITIL4, COBIT, or equivalent; Lean/Agile delivery. • Business Acumen: Ability to translate executive vision into actionable technology roadmaps and to build multi-million-dollar business cases. • Soft Skills: Polished communicator with board-room presence; excels at stakeholder alignment, conflict resolution, and cross-functional leadership. • Certifications (nice-to-have): TOGAF, AWS/Azure/GCP Architect Professional, PMP, Certified RPA Architect (UiPath/Automation Anywhere), or equivalent. Web Reference : AJF/891582239-202 Posted Date : Tue, 16 Sep 2025 Please note, to apply for this position you will complete an application form on another website provided by or on behalf of Saransh Inc. Any external website and application process is not under the control or responsibility of IT JobServe

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