Enterprise AI Architect
- Sutherland
- 14 - 24 years
- Hyderabad
- 4 days ago
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Job Description
Enterprise AI Architect
Fulltime
Location: Hyderabad, Remote
Working Timings: 2 PM 11 PM
The Enterprise AI Architect is responsible for designing, building, and governing scalable, secure, and productiongrade AI platforms and solutions across the enterprise. This role bridges business strategy, advanced AI engineering, and cloudnative architecture to operationalize AI, GenAI, and Agentic AI at scale.
You will define endtoend AI reference architectures, guide ML/LLM lifecycle implementation, and partner with engineering, data science, and business teams to deliver highimpact AI solutions.
Key Responsibilities
AI & ML Platform Architecture
- Design and lead enterprise AI architectures using ML platforms such as Azure ML and Databricks for model development, training, and deployment .
- Define reference architectures for cloudnative, hybrid, and multicloud AI ecosystems.
- Ensure scalability, security, compliance, and cost optimization of AI platforms.
AI Engineering & Model Development
- Guide teams on AI engineering best practices, including model selection, training, evaluation, and optimization.
- Oversee feature engineering frameworks and reusable feature stores to enable consistency and model reusability.
- Support development of predictive, generative, and multimodal AI models.
MLOps & CI/CD for AI
- Architect and implement MLOps pipelines covering data ingestion, training, validation, deployment, rollback, and retraining .
- Establish CI/CD pipelines for ML models, including automated testing, versioning, approval workflows, and promotion across environments.
- Integrate model lifecycle automation with DevSecOps practices.
LLMs, Agentic AI & Intelligent Automation
- Design and deploy LLMbased solutions, including prompt engineering, finetuning, RAG pipelines, and vector search.
- Lead Agentic AI architectures involving autonomous agents orchestrated with enterprise systems, APIs, and workflows .
- Enable intelligent automation by integrating AI agents with business process automation and decisioning platforms.
AI Observability & Monitoring
- Define standards for AI observability, including model performance, data drift, bias detection, explainability, and reliability.
- Implement monitoring frameworks to track model health, operational SLAs, and business KPIs in production.
- Drive governance for responsible AI, auditability, and risk management.
Enterprise Collaboration & Leadership
- Partner with product owners, business leaders, and domain SMEs to translate use cases into AI architectures.
- Provide technical leadership, architectural governance, and mentorship to AI engineers and data scientists.
- Contribute to AI strategy, roadmaps, and Centers of Excellence initiatives.
Required Skills & Expertise
Core Technical Skills
- ML Platforms: Azure ML, Databricks
- MLOps: Endtoend ML lifecycle automation, model registries, pipelines
- CI/CD for ML: Gitbased workflows, model testing, release automation
- Feature Engineering: Feature stores, transformation pipelines, data quality
- AI Engineering: Model development, optimization, and deployment
- LLMs: Prompt engineering, finetuning, RAG, embeddings, vector databases
- Agentic AI: Autonomous agents, orchestration, tool and API integration
- AI Observability: Model monitoring, explainability, drift and bias detection
Architecture & Cloud
- Cloudnative architecture (Azure preferred)
- Microservices, APIs, eventdriven systems
- Security, scalability, and enterprise governance patterns
Preferred Qualifications
- Experience building enterprisescale GenAI and Agentic AI platforms
- Strong understanding of Responsible AI and regulatory compliance
- Ability to influence architecture decisions across multiple teams
- Prior experience in digital engineering or AI Centers of Excellence
Success Measures
- AI solutions move reliably from concept to production
- Standardized, reusable AI platforms and pipelines across the enterprise
- Scalable, observable, and governed AI systems delivering measurable business value
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full timeContact Details:
Company: SutherlandLocation(s): Hyderabad
Keyskills: Enterprise Architecture Agentic AI Databricks ML RAG
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About Accenture\r\n\r\n \r\n\r\nAccenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations...
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