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Job Summary: Seeking an experienced AWS AI Data Engineer to design, build, and optimize scalable data and AI/ML solutions on AWS Cloud. The ideal candidate should possess strong expertise in modern data engineering, cloud-native architecture, machine learning data pipelines, and Generative AI solutions. The role involves developing robust data platforms, enabling AI workloads, and collaborating with data scientists, ML engineers, and business stakeholders to deliver impactful analytics and AI-driven solutions. Key Responsibilities: Design, develop data ingestion solutions from APIs, databases, and maintain scalable ETL/ELT pipelines on AWS. Design, develop, and deploy Generative AI applications using Amazon Bedrock, SageMaker, and foundation models. Build and implement Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge repositories. Enable AI/ML and Generative AI workloads through robust data pipelines. Integrate Large Language Models (LLMs) with enterprise systems, APIs, and business workflows. Design and optimize prompts, evaluate model performance, and improve response quality through prompt engineering techniques. Implement AI guardrails, content filtering, and responsible AI practices to ensure safe and compliant GenAI deployments. Monitor GenAI application performance, model usage, latency, and costs while ensuring scalability and reliability. Implement and ensure data quality, governance, security, scalability, and cost-effective AWS data platforms. Collaborate with Data Scientists, ML Engineers, and business stakeholders. Develop conversational AI solutions, enterprise copilots, intelligent search, and knowledge-management applications. Document technical solutions and support Agile delivery practices. ##LI-DNIRequired Skills Strong experience with AWS Services: S3, Glue, Lambda, Redshift, DynamoDB, IAM, Step Functions, API Gateway, EC2, ECS/EKS. Proficiency in Python, PySpark and SQL. Hands-on experience with Amazon SageMaker and/or Amazon Bedrock, OpenSearch, Generative AI, RAG, Vector Databases, Prompt Engineering and LLM orchestration platforms. Experience implementing enterprise scale RAG architecture, embeddings, and vector databases (OpenSearch, pgvector, Pinecone, Chroma, etc.). Experience building and deploying scalable, secure, and production-grade GenAI and Agentic AI applications on AWS. Strong understanding of Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Multi-Agent Systems, and Conversational AI solutions. Experience building enterprise AI copilots, chatbots, document intelligence, or knowledge assistant solutions. Strong understanding of REST APIs, Microservices, CI/CD pipelines, Git, Docker, and cloud-native development practices. Ability to work closely with business stakeholders and cross-functional teams to identify use cases and deliver AI-driven solutions. Excellent analytical, problem-solving, and communication skills with a passion for innovation and emerging AI technologies. Preferred Skills: Experience with Data Lakes, ETL/ELT, Data Warehousing, and Data Modeling. Working experience with Terraform/CloudFormation, Git, CI/CD, and Docker. Exposure to LLMOps, model evaluation, prompt optimization, monitoring, governance, and Responsible AI practices. AWS Certifications (Developer Associate, Solutions Architect, Data Engineer, AI Practitioner) are a plus. Location: Hyderabad
A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition.
Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.
Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.
