Project Role : Solution Architect

Project Role Description : Translate client requirements into differentiated, deliverable solutions using in-depth knowledge of a technology, function, or platform. Collaborate with the Sales Pursuit and Delivery Teams to develop a winnable and deliverable solution that underpins the client value proposition and business case.

Must have skills : AI Agents &

- Workflow Integration

Good to have skills : AI &

- Data Solution Architecture, UiPath ProcessGold Process Mining, Retrieval-Augmented Generation

Minimum 15 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

As a Solution Architect, a typical day involves leads AI, GenAI, and Agentic automation delivery across 1 to 3 concurrent programs, acting as the shared technical lead. The role sits just above hands-on delivery and below practice ownership — focused on ensuring high-quality AI solutions are designed, governed, and landed well across engagements.

The Senior

Manager brings together delivery teams, client stakeholders, and architects to drive AI-enabled transformation across Finance, Procurement, Supply Chain, and HR. A key part of the role is translating complex AI concepts into transparent, compelling narratives for clients — including preparing and conducting Agentic AI demos.

Roles &

- Responsibilities:

- Agentic AI &
- Intelligent Automation Solutions

Provide technical leadership across 1 to 3 AI delivery programmers, ensuring consistency in design, quality, and approach. Review and guide the design of Agentic AI solutions — 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 — cost reduction, automation, and improved decision accuracy.

Guide teams on designing and deploying AI/ML, GenAI, and Agentic models within SaaS platforms — e.g., invoice classification, anomaly detection, demand forecasting, or chatbot automation.





Work with Data Architects to ensure data readiness and feature availability across programmes.

Align AI delivery with process transformation goals, keeping focus on value realization — accuracy improvement, FTE optimization, and compliance enhancement.

- Client Engagement &
- Demos

Prepare and conduct Agentic AI demos for clients — translating technical solutions into clear, business-relevant narratives. Act as a trusted technical advisor for senior client stakeholders, building confidence in AI solutions and delivery approach.

Support pre-sales and solution shaping activity — contributing to proposals, workshops, and client discovery sessions.

Engage with client IT, transformation sponsors, and analytics teams to align on AI priorities and manage expectations through delivery.

- AI Governance, Compliance, and Quality

Own AI governance standards across programmes — fairness, transparency, explainability, and data privacy compliance. Ensure all AI deployments comply with Accenture Responsible AI principles and data protection regulations (GDPR, SOC2).

Define and track KPIs for model accuracy, drift, and performance manage periodic model reviews across active programmes.

Maintain and evolve AI design patterns, delivery templates, and best practices across SaaS deployments.

Input into broader enterprise AI governance frameworks where relevant.

- Cross-Functional Collaboration

Work closely with Enterprise and Functional Architects to ensure AI components align with overall solution blueprints. Partner with Run Support teams to transition models into production with appropriate monitoring in place.

Engage Product Managers with feedback on AI feature performance and client adoption insights.

Coordinate across delivery teams spanning multiple programmes to share learnings, resolve blockers, and maintain delivery standards.

- People &
- Team Development





Lead and mentor AI Managers, data scientists, and analysts across programmes. Support the development of team members through coaching, feedback, and involvement in complex problem solving.

Drive enablement for Professional Services teams on AI concepts, prompt design, and agent orchestration workflows.

- Continuous Innovation and Enablement

Evaluate emerging technologies —
- LLMs, AutoML, vector databases, retrieval frameworks — for practical SaaS application.

Prototype and pilot new AI capabilities that extend platform intelligence, e.g., agent orchestration, autonomous reconciliation, or dynamic forecasting.

Contribute reusable assets, delivery accelerators, and whitepapers to the broader practice.

Professional &

- Technical Skills:

- Must To Have Skills: Proficiency in AI Agents &
- Workflow Integration, AI &
- Data Solution Architecture, Retrieval-Augmented Generation, UiPath ProcessGold Process Mining.
- Good To Have Skills: Experience with AI &
- Data Solution Architecture, Retrieval-Augmented Generation, 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.

Additional Information

- The candidate should have minimum 15 years of experience in AI Agents &
- Workflow Integration.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

📌 Solution Architect (Bengaluru)
🏢 Accenture in India
📍 Bengaluru