15 hours ago
Hyderābād, 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 architectures using Cortex, Snowpark, Streamlit, security controls, governance, monitoring, and cost management.
- Architect multi-agent systems with orchestration, tool use, memory, context management, MCP/control-plane patterns, and reusable service abstractions.
- Design data and context layers for ingestion, preprocessing, embeddings, vector search, knowledge graphs, and semantic retrieval.
- Define evaluation frameworks covering accuracy, relevance, faithfulness, latency, cost, safety, security, and reliability.
- Establish AI security, governance, observability, guardrails, prompt-injection defenses, PII protection, access control, audit logging, and tracing.
- Maintain architecture decision records, diagrams, design specifications, integration patterns, and reusable reference architecture assets.
Requirements
- 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, including at least 10 years in software engineering, data engineering, AI/ML engineering, or technology architecture.
- At least 5 years of experience designing and deploying enterprise-grade advanced AI or cloud data solutions using a 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 coding experience with Python, APIs, distributed systems, reusable frameworks, and cloud-native application patterns.
- At least 4 years of experience in machine learning, 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, Snowpark, Streamlit in Snowflake, Dynamic Tables, Tasks, Streams, Snowflake ML, RBAC, masking policies, access history, and observability.
- Knowledge of RAG, embeddings, vector databases, prompt engineering, model routing, fine-tuning, function calling, tool integration, and agent orchestration.
- Experience designing reusable agent services, memory services, API gateways, integration adapters, orchestration layers, evaluation harnesses, and deployment pipelines.
- Experience with 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
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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.