AI Automation Engineer

Job Description : AI and Automation Engineer
Location: Hyderabad
Type: Work From Office

Budget: Upto 20 LPA

Work Hours: US Shift (Night Shifts)

No of vacancies : 1

Experience Required: Minimum 2-4 years in software development intelligent automation and AI solutions.

Position Overview: The AI and Automation Engineer role is responsible for oversight of the development and administration of automation and data-centered AI projects that ultimately improve current processes and promote the company's expansion. With deep knowledge and expertise in utilizing process automation and AI to solve complex real-world problems the incumbent in this role recommends and completes data-driven and process-driven projects which are geared at furthering the company’s interests. He/She pilots the development of cutting-edge Automation Artificial Intelligence (AI) and Machine Learning (ML) driven solutions based on a rich stream of legal documents statutes claims payer and behavioral data. The role operates in a highly collaborative environment of automation engineers data scientists AI engineers domain experts and business leaders to deliver automation and analytics products that have the potential to fundamentally alter how legal services are thought about and delivered on a large scale.

ESSENTIAL JOB DUTIES/RESPONSIBILITIES:

• Design develop and maintain scalable workflows automation RPA AI and ETL solutions using various technologies such as Playwright Python Power Automate Workato SQL Data Pipeline or similar technologies.
• Design develop and maintain intelligent document processing and AI models.
• Build custom connectors APIs applications and integrations using Python React JavaScript Powershell SQL C# Docker and Containers.
• Collaborate with business stakeholders to gather requirements and translate them into technical AI and automation solutions.
• Lead end-to-end automation lifecycle: discovery solution design development testing deployment support and related documentation.
• Ensure compliance best practices procedures reusable components and data governance standards are executed during automation implementation.
• Monitor and optimize bot or automation or AI model performance handle exceptions and ensure high availability of automation workflows.
• Develops complex algorithms and statistical predictive models by determining analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Designs develops and deploys AI agents and GenAI models focusing on cognitive architecture knowledge graph embedding and multimodal learning.
• Implements and manage MLOps and LLMOps pipelines ensuring efficient and automated model training testing deployment and monitoring.
• Integrates AI/ML models with larger systems including cloud-based infrastructure software applications and data platforms.
• Stays up to date with the latest advancements in IDP GenAI ML MLOps LLMOps and apply this knowledge to drive innovation and improvement in our AI technology stack.
• Identifies meaningful insights from “big data” sources assists in the creation of required ETL pipelines and data structures for Azure Data Lake and data factory.
• Performs other duties as assigned and modified at manager’s discretion.

KNOWLEDGE SKILLS AND ABILITIES:

• Astute business acumen and acuity.
• Hands-on experience in advanced automation workflows and AI solution implementation.
• Working knowledge and understanding of agentic AI and ML fundamentals including classical ML RAG deep learning techniques and LLMs.
• Excellent verbal communication skills including the ability to articulate complex concepts to both technical and non-technical audiences.
• Strong interpersonal organization time-management and coordination skills.
• Demonstrated aptitude in programming skills with hands-on experience implementing containers and function apps.
• Skilled with relational databases programming languages web app frameworks libraries and tools such as SQL Python C# React Power Automate scikit-learn TensorFlow PyTorch Keras Hugging Face OpenCV NLTK Spacy LangChain Airflow ML studio Azure Document Intelligence IDP and shell scripting.
• Spoken and written fluency in English.
• This job requires the use and exercise of independent judgment.

EDUCATION AND EXPERIENCE CRITERIA:

• Bachelor’s degree in Computer Science Data science Analytics Information Systems or related field. Master’s degree is a plus.
• 2-4 years of experience in software development intelligent automation and AI solutions.
• Proven expertise and programming skills in many of these technologies - Python SQL JavaScript React C# Gen AI or similar technologies.
• Development experience with enterprise systems such as web applications and APIs.
• Experience with DevOps containerization (e.g. Docker) and agile development methodologies.
• Familiarity with Agile methodologies and DevOps practices for automation delivery.
• Excellent problem-solving communication and stakeholder management skills.
• Master's degree in quantitative fields such as: Engineering Computer Science AI/ML Data Science required OR experience may be considered in lieu of the required education.
• 2 years of experience in AI/ML engineering Automation Data science software development or a related field with a focus on GenAI and ML.
• Strong understanding of advanced mathematics statistics programming data handling ML algorithms and predictive analytics.

A minimum of 2 years’ experience using tools in at least one cloud computing platform such as Microsoft Azure (preferred) or Google Cloud Platform.

Required Skills:

Cloud Computing Microsoft Azure Mathematics Stakeholder Management Verbal Communication Skill Business Acumen Devops Azure Vat Mining Tally Google Cloud Education Erp Ned Solution Implementation Java Big Data Powershell Verbal Communication Skills Management Skill Programming Skill Insight Data Structures Scala Compliance Machine Learning Agile Methodologies Javascript Agile Python Data Handling Shell Scripting Workflow Problem-solving Methodologies Excel Communication Skill Agile Development Rpa Artificial Intelligence Documentation Communication Skills Strong Understanding Sql Programming Language Agile Development Methodologies Docker Software Development Web Applications