AI Solutions Architect
Automation Anywhere, Inc.
**About Us**
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.
Key Activities
+ Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.
+ Collect and integrate data from various structured (APIs, databases) and unstructured sources, PDFs, scanned documents, emails, invoices, Audio, Video, logs).
+ Apply necessary document parsing and preprocessing techniques such as OCR, NER, NLP and AI techniques to extract information from unstructured formats
+ Implement EDA, data cleaning, transformation, and enrichment processes to enable efficient implementation of AI/ML solutions, RAG, AI Agents, workflow automations and dashboards.
+ Work with various data storage (RDBMS, NoSQL, Data Lakes/warehouses) solutions, ensuring efficient data querying and retrieval.
+ Optimize data processing performance by improving query execution, indexing, and storage formats.
+ Ability to use Gen AI technologies such as Vector DB, LLMs, RAG for the purpose of data engineering & AI/ML solution implementation
+ Identify and resolve pipeline failures, data inconsistencies, and system bottlenecks.
+ Ensure encryption, masking, and governance policies are applied to protect sensitive data.
+ Work closely with AI/ML engineers, analysts, and business teams to define data needs and solutions.
+ Implement automated testing, deployment pipelines, and best practices for data workflows.
+ Maintain detailed documentation on data schemas, workflows, integration points and best practices.
+ Stay updated with new technologies, AI/ML trends frameworks, and industry best practices to enhance data engineering capabilities.
Skills & Qualification Criteria
+ 6–9 years of hands-on experience in designing, building, and managing scalable data pipelines.
+ Proficiency in Python, Unix Shell scripting and SQL, (PostgreSQL, MySQL) or Java for data processing.
+ Hands-on expertise in data science & data engineering methods and cloud platforms with expertise in managing large-scale unstructured & structured data. Cloud certifications are a plus.
+ Hands-on experience in building and optimizing ETL/ELT pipelines using tools like Apache Airflow, or similar tools
+ Experience with AWS (Glue, Redshift, S3) Document Extraction tools such as AWS Textract, or Azure.
+ Strong experience with big data and distributed computing frameworks like Apache Spark, Hadoop or similar technologies
+ Expertise in designing and managing data warehouses using platforms like Redshift, or BigQuery.
+ Optimized database queries and stored procedures for improved performance of AWS Batch Jobs.
+ Knowledge of real-time data processing tools like Apache Kafka, Flink, or Kinesis.
+ Experience with Web scraping tools and frameworks (BeautifulSoup, Scrapy etc.) and NLP techniques and libraries like NLTK, SpaCy
+ Experience with relational (PostgreSQL, MySQL) and NoSQL databases for ex. Dynamodb
+ Ability to optimize SQL queries, storage formats (Parquet, ORC), and processing frameworks for efficiency.
+ Strong ability to work with data scientists, ML engineers, and business teams to meet data needs.
+ Understanding data privacy, compliance (GDPR, HIPAA), and best practices for secure data handling.
+ Experience with DevOps practices
\#LI-NB1
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
**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.**
Equal Opportunity Employer Automation Anywhere is an equal opportunity employer – M/F/D/V. We want to have the best available persons in every job. We will not discriminate in our employment practices due to an applicant’s race, color, creed, gender, religion, marital status, age, national origin and ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military and veteran status or any other category protected by law.
Por favor confirme su dirección de correo electrónico: Send Email