3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Shape enterprise AI strategy and convert business priorities into phased technical roadmaps.
- Lead AI architecture assessments, target-state definitions, gap analyses, platform selection, modernization planning, and implementation sequencing.
- Define Snowflake-native Cortex, Cortex Agents, Cortex Search, Cortex Analyst, RAG, document intelligence, analytics, Snowpark, and Streamlit architectures.
- Establish architectures for multi-agent systems, orchestration, memory, tool use, agent registries, AI gateways, and control planes.
- Define context-layer architectures covering knowledge graphs, ontologies, vector search, semantic retrieval, prompt assembly, and conversation state.
- Set security, governance, observability, performance, scalability, reliability, privacy, identity, authorization, and PII protection standards.
- Drive inference, model routing, model adaptation and fine-tuning, caching, cost-control, and production deployment decisions.
- Produce authoritative architecture blueprints, ADRs, sequence diagrams, design specifications, integration patterns, reference architectures, and governance playbooks.
- Lead and integrate work across domain architects and subject-matter specialists while communicating decisions to executives and delivery teams.
Requirements
- Bachelor's degree or equivalent in Computer Science, Computer Engineering, Data Science, AI/ML, Information Technology, or a related engineering discipline.
- Minimum 15 years of overall experience is stated; the qualifications also require at least 12 years in software engineering, data engineering, AI/ML engineering, cloud architecture, or enterprise technology architecture.
- At least 8 years designing and deploying enterprise-grade advanced AI, data, analytics, or cloud-native solutions using at least one cloud vendor.
- At least 2 years architecting LLM and generative AI solutions, including agentic AI, RAG, prompt engineering, model integration, and evaluation patterns.
- At least 2 years operationalizing LLM-driven application architecture patterns in production or enterprise-scale environments.
- At least 6 years of experience in engineering, machine learning, deep learning, NLP, data engineering, or large-scale analytical engineering applications.
- Experience as a senior architect in banking, insurance, retail, healthcare, travel, logistics, or telecom.
- Deep hands-on experience with Snowflake Cortex AI, Cortex Agents, Cortex Search, Cortex Analyst, Cortex AI Functions, Snowpark, Streamlit in Snowflake, Dynamic Tables, Tasks, Streams, Snowflake ML, RBAC, masking policies, access history, lineage, and observability.
- Experience with RAG, embeddings, vector databases, semantic retrieval, context engineering, multi-agent orchestration, tool calling, memory, model routing, and generative-AI evaluation.
- Ability to define non-functional requirements and architecture controls for performance, scalability, security, privacy, governance, observability, resiliency, cost optimization, and operational readiness.
- Ability to evaluate platforms, frameworks, foundation models, and deployment patterns and make defensible architecture recommendations.
- Preferred qualifications include SnowPro Advanced Architect or SnowPro Advanced Data Engineer certification, Snowpark Python, Streamlit, semantic models, dbt, Native Apps, data sharing, Cortex Guardrails, and Snowflake cost/performance tuning.
- Preferred exposure includes LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, MLflow, FastAPI, Docker, Kubernetes, responsible AI, model risk management, red-teaming, synthetic data, human-in-the-loop review, A/B testing, and GenAI FinOps.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.