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Accellor - Enterprise Architect - Data & AI Job Opening In Hyderabad – Now Hiring Accellor


Job description

<p>Job Description :</p><p><br/></p><p>Key Responsibilities :</p><p><br/></p><p>Strategic Technology Foresight & AI Roadmapping :</p><p><br/></p><p>- Develop and operationalize an integrated AI & Emerging Tech strategy covering Machine Learning, Generative AI, LLMs, Cloud-native platforms, Edge Computing, APIs, and automation frameworks.</p><p><br/></p><p>- Conduct strategic assessments on evolving technology trends (cloud modernization, data mesh, low code/no-code platforms) and their impact on capability design, operating models, and workforce transformation.</p><p><br/></p><p>Use Case Architecture & Value Prioritization :</p><p><br/></p><p>- Translate ambiguous business challenges into AI-enabled use cases, performing technical feasibility studies </p><p>and defining value hypotheses.</p><p><br/></p><p>- Build and maintain a prioritized AI use case backlog tied to enterprise strategy, supported by ROI-driven phasing and maturity mapping.</p><p><br/></p><p>Portfolio & Capability Transformation Planning :</p><p> </p><p><br/></p><p>- Define the future-state capability portfolio, including shifts in tooling, data integration, automation layers, and human-AI interaction models.</p><p><br/></p><p>- Lead the design of AI skilling pathways to prepare workforce roles (analysts, testers, designers, change agents) for the future of human-AI Architecture & Platform Integration :</p><p> </p><p><br/></p><p>- Establish robust AI governance frameworks, covering explainability, data stewardship, lifecycle ownership, and compliance.</p><p><br/></p><p>- Partner with Enterprise Architecture and Digital Platforms teams to ensure AI initiatives align with enterprise standards, DevSecOps practices, and target-state platform convergence.</p><p><br/></p><p>- Advocate for integration of LLM-based copilots, automation scripts, and AI accelerators into enterprise ecosystems (e.g., Azure DevOps, ServiceNow, SAP).</p><p><br/></p><p>Market & Ecosystem Leadership :</p><p> </p><p><br/></p><p>- Monitor market shifts and vendor roadmaps (Microsoft, AWS, ServiceNow, Google) to inform build vs.

buy decisions.</p><p><br/></p><p>- Shape executive narratives, investment cases, and transformation blueprints to secure alignment and sponsorship.</p><p><br/></p><p>Required Qualifications & Skills :</p><p> </p><p><br/></p><p>- 12+ years of experience in AI, emerging technology, or enterprise architecture roles, with leadership exposure.</p><p><br/></p><p>- Deep expertise in AI/ML concepts, model lifecycle management, LLMs, MLOps, and enterprise integration patterns.</p><p><br/></p><p>- Strong knowledge of cloud computing platforms (Azure, AWS, GCP), edge architectures, API management, and automation frameworks (RPA, low-code).</p><p><br/></p><p>- Proven experience in tech portfolio rationalization, roadmap design, and capability operating model development.</p><p><br/></p><p>- Familiarity with TOGAF, Zachman, SAFe, ITIL frameworks.</p><p><br/></p><p>- Ability to thrive in ambiguity and shape strategies in large-scale, federated organizations.</p><p><br/></p><p>- Excellent communication, stakeholder management, and storytelling skills.</p><p><br/></p><p>Preferred :</p><p><br/></p><p>- Exposure to business analysis, quality engineering, or experience design practices.</p><p><br/></p><p>- Experience leading enterprise AI adoption initiatives in regulated/global organizations.</p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Accellor Enterprise Potential: Insight & Career Growth Guide


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