3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Translate business strategy and product goals into technical visions, architecture blueprints, non-functional requirements, and implementation roadmaps.
- Lead stakeholder workshops covering feasibility, scope, solution boundaries, dependencies, and client expectations.
- Design Snowflake-native AI applications using Cortex, Cortex Agents, RAG, document intelligence, analytics, Snowpark, Streamlit, security controls, governance, and cost controls.
- Architect model- and tool-agnostic multi-agent systems with orchestration, tool use, memory, context management, MCP/control-plane patterns, and reusable services.
- Design data and context layers covering ingestion, preprocessing, synchronization, chunking, embeddings, vector search, knowledge graphs, and semantic retrieval.
- Define evaluation frameworks for accuracy, relevance, faithfulness, groundedness, latency, cost, safety, security, and operational reliability.
- Establish AI security, governance, observability, guardrails, prompt-injection defense, PII protection, access control, audit logging, and tracing controls.
- Maintain architecture decision records, diagrams, design specifications, integration patterns, and reusable reference architecture assets.
Requirements
- A bachelor's degree or equivalent in computer science, computer engineering, data science, AI/ML, information technology, or a related engineering discipline.
- At least 12 years of experience is required; the qualifications also specify 10+ years in software engineering, data engineering, AI/ML engineering, or technology architecture.
- At least 5 years designing and deploying enterprise-grade advanced AI or cloud data solutions with at least one cloud vendor.
- At least 2 years of experience in agentic AI, LLM, and generative AI solution architecture or engineering delivery.
- At least 4 years of Python coding experience with APIs, distributed systems, reusable frameworks, and cloud-native application patterns.
- At least 4 years of experience in ML, deep learning, NLP, data engineering, analytical engineering, or AI product delivery.
- Demonstrated solution or technology architecture experience in industries such as banking, insurance, retail, healthcare, travel, logistics, or telecom.
- Hands-on experience with Snowflake Cortex AI, Cortex Agents, Cortex Search, Cortex Analyst, Cortex AI Functions/LLM Functions, Snowpark, Streamlit in Snowflake, Dynamic Tables, Tasks, Streams, Snowflake ML, RBAC, masking policies, access history, and observability.
- Strong knowledge of RAG, embeddings, vector databases, prompt engineering, model routing, fine-tuning or adaptation, function calling, tool integration, and agent orchestration.
- Experience defining enterprise AI platform patterns and building reusable agent services, memory services, API gateways, integration adapters, orchestration layers, evaluation harnesses, and deployment pipelines.
- Experience with CI/CD, infrastructure-as-code, automated testing, model evaluation, MLOps/LLMOps, monitoring, and production release governance.
- Strong stakeholder management and communication skills for explaining architecture trade-offs, risks, and 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, Snowflake tuning, open-source AI frameworks, responsible AI, model risk management, red-teaming, 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.