Solution Architect

Overview

Lead AI, GenAI and Agentic automation delivery across 1 to 3 concurrent programs as the shared technical lead, translating client requirements into deliverable AI solutions across Finance, Procurement, Supply Chain and HR.

What you'll do

• Provide technical leadership across 1 to 3 AI delivery programs, ensuring consistency in design, quality and approach.
• Review and guide the design of Agentic AI solutions, including multi-agent workflows, LLM integrations, automation pipelines and orchestration frameworks.
• Oversee the development of autonomous decision systems such as auto-reconciliation, intelligent document processing, anomaly detection and forecasting.
• Ensure AI solutions are embedded effectively into platform architecture and deliver measurable business value.
• Guide teams on designing and deploying AI/ML, GenAI and Agentic models within SaaS platforms.
• Work with Data Architects to ensure data readiness and feature availability across programs.
• Prepare and conduct Agentic AI demos for clients, translating technical solutions into business-relevant narratives.
• Act as a trusted technical advisor for senior client stakeholders and support pre-sales and solution shaping activity.
• Own AI governance standards across programs, including fairness, transparency, explainability and data privacy compliance.
• Define and track KPIs for model accuracy, drift and performance, and manage periodic model reviews.
• Work with Enterprise and Functional Architects, Run Support teams and Product Managers to align AI components and transition models into production.
• Lead and mentor AI Managers, data scientists and analysts, and drive enablement for Professional Services teams.
• Evaluate emerging technologies such as LLMs, AutoML, vector databases and retrieval frameworks, and prototype new AI capabilities.

What you'll need

• Minimum 15 years of experience in AI Agents & Workflow Integration.
• 15 years full time education.
• Proficiency in AI Agents & Workflow Integration.
• Proficiency in AI & Data Solution Architecture.
• Proficiency in Retrieval-Augmented Generation.
• Proficiency in UiPath ProcessGold Process Mining.
• Strong expertise in integrating artificial intelligence agents within complex workflow environments to optimize business processes.
• Strong understanding of AI/ML lifecycle management, from model design to deployment.
• Hands-on experience with GenAI / LLM frameworks (OpenAI, Azure OpenAI, Anthropic, or Google Vertex AI).
• Proficiency in Python, SQL, and cloud AI tools (Azure Machine Learning, AWS SageMaker, or GCP Vertex AI).
• Familiarity with ETL/ELT data preparation and data pipeline orchestration in a product/platform-based company.
• Solid grasp of enterprise process data across Finance, Procurement, or Supply Chain.
• Understanding of AI/agent orchestration frameworks (LangChain, Haystack, or equivalent).
• Knowledge of model governance and MLOps principles.
• Experience preparing and delivering technical AI demos to client and business audiences.

Nice to have

• Experience with AI & Data Solution Architecture, Retrieval-Augmented Generation and UiPath ProcessGold Process Mining.

Details

• Location: Bengaluru office.
• Must comply with Accenture Responsible AI principles and data protection regulations (GDPR, SOC2).