AI Architect

About Automation Anywhere

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Our Opportunity

At Automation Anywhere, the leader in Agentic Process Automation (APA), we’re transforming how businesses work—and we’re looking for an AI Architect to play a key role in that mission. In this role, you’ll serve as a trusted partner to our customers, building strong relationships, guiding them through their automation journey, architecting end-to-end Agentic process automation and AI/ML solutions tailored to business requirements, ensuring scalability and performance.

Who You’ll Report To

This role reports to the Director Professional Services.

Location

Bengaluru, India

You Will Make An Impact By Being Responsible For

• Architect end-to-end Agentic process automation and AI/ML solutions tailored to business requirements, ensuring scalability and performance.
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth across AI/ML technologies and platforms.
• Architect production level AI agent/RAG solutions for customers using our unified platform, including end-to-end AI solution pipelines, inference optimization, integration with cloud-native services and MLOps, integration with External Tools and Applications.
• Provide guidance and best practices to development teams on AI agent implementations.
• Serve as the trusted technical advisor for customers developing GenAI solutions, such as AI agents, RAG architectures and ensure high-quality, efficient, and maintainable code for AI agents.
• Oversee the ingestion, transformation, and validation of large datasets for AI solution development, and deployment using AA or 3rd party hyper scaler platform.
• Implement and manage CI/CD pipelines for seamless model deployment, integration and monitoring in production.
• Track and improve the performance of AI/ML systems through testing, validation, and iterative improvements.
• Stay updated on advancements in AI/ML and identify opportunities for integrating new techniques into solutions.
• Work closely with product managers, data scientists, and engineering teams to align on technical goals and deliverables.
• Create detailed architectural diagrams, technical documentation, and best practice guidelines.
• Address critical production issues and optimize system reliability and performance.

You Will Be a Great Fit If You Have

• 6-9 yrs of overall IT experience with 5+ years of experience in AI/ML implementations, solutioning and architecture designs.
• Deep knowledge of Generative AI, machine learning, deep learning, and natural language processing algorithms and frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
• Strong programming skills in Python, Java, or other relevant languages; Familiarity with RAG (Retrieval-Augmented Generation) methodologies and integrating Generative AI into enterprise applications.
• Hands-on expertise in prompt engineering, RAG, vector DBs and technologies to implement AI agent solutions.
• Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools.
• Hands-on experience with AI/ML services on AWS, GCP, or Microsoft Azure. Have completed certifications from either of these hyper scaler providers.
• Expertise in data preprocessing, feature engineering, and working with large-scale data pipelines.
• Strong background on cloud services from various cloud service providers that integrates with AI/ML solutions.

You Excel In These Key Competencies

• Experience with AWS Sagemaker, Bedrock, Google Vertex AI.
• Proficiency in deploying, monitoring, and integrating models in production environments.
• Ability to design scalable, secure, and high-performance AI/ML solutions.
• Strong analytical skills to address complex technical challenges and innovate scalable solutions.

Key skills/competency

• Agentic Process Automation
• AI/ML Solution Architecture
• Generative AI (GenAI)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Cloud AI Services (AWS, GCP, Azure)
• MLOps & CI/CD
• Data Pipelines & Preprocessing
• Scalable AI Systems Design
• Python/Java Programming