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Automation Anywhere is a leader in AIpowered process automation that puts AI to work across organizations. The companys Automation Success Platform is powered with specialized AI generative AI and offers process discovery RPA endtoend process orchestration document processing and analytics with a security and governancefirst approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains drive innovation improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AIpowered automation. Learn more at
Key Activities
Architect endtoend 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 endtoend ML pipelines inference optimization integration with cloudnative services and MLOps
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 RAG architectures on enterprise knowledge repo and ensure highquality efficient and maintainable code for AI agents.
Oversee the ingestion transformation and validation of large datasets for model training and deployment using AA or 3rd party hyper scaler platform.
Implement and manage CI/CD pipelines for seamless model deployment 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.
Mentor team members and contribute to organizational learning in AI/ML technologies.
Skills & Qualification Criteria
Must Have Skills
812 yrs of overall IT experience with 5 years of experience in AI/ML implementations
Deep knowledge of machine learning deep learning and natural language processing algorithms and frameworks (TensorFlow PyTorch Hugging Face etc..
Experience with the latest techniques in natural language processing including vector databases finetuning LLMs and deploying LLMs with tools such as HuggingFace Langchain and OpenAI
Handson experience with AI/ML services on AWS GCP or Microsoft Azure. Have completed certifications from either of these hyper scaler providers.
Strong programming skills in Python Java or other relevant languages;
Familiarity with RAG (RetrievalAugmented Generation) methodologies and integrating Generative AI into enterprise applications.
Handson expertise in prompt engineering RAG vector DBs and technologies to implement AI agent solutions.
Expertise in data preprocessing feature engineering and working with largescale data pipelines (Apache Spark Kafka etc..
Nice to have skills
Strong background on cloud services from various cloud service providers that integrates with AI/ML solutions
Experience with MLOps tools like MLflow Kubeflow or SageMaker.
Proficiency in deploying monitoring and optimizing models in production environments.
Ability to design scalable secure and highperformance AI/ML solutions.
Strong analytical skills to address complex technical challenges and innovate scalable solutions.
Ability to articulate technical concepts to diverse audiences including nontechnical stakeholders.
Experience mentoring engineers and collaborating with crossfunctional teams.
Understanding of data privacy and AI ethics for compliant system designs.
All unsolicited resumes submitted to any @automationanywhere email address whether submitted by an individual or by an agency will not be eligible for an agency fee.
All unsolicited resumes submitted to any @automationanywhere email address whether submitted by an individual or by an agency will not be eligible for an agency fee.
Required Experience:
Unclear Seniority
Full Time