Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : AWS Machine Learning

Good to have skills : Amazon Web Services (AWS), Data Analytics, Machine Learning (ML)

Minimum 18 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

We are looking for a seasoned Principal Agentic AI Engineer with deep expertise in AWS cloud architecture, LLM-based intelligent systems, and agentic AI design patterns. This role involves architecting and deploying autonomous, multi-agent systems capable of reasoning, planning, acting, and collaborating within enterprise cloud environments.

As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating robust data pipelines, ensuring the integrity and quality of data, and implementing efficient ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability.

Roles & Responsibilities:

  • Design and lead the development of scalable, resilient agentic AI systems.
  • Integrate LLMs with enterprise APIs and data stores.
  • Implement Retrieval-Augmented Generation (RAG) pipelines and tool-augmented agents.
  • Ensure robust observability, fault tolerance, and CI/CD integration.
  • Expected to be a Subject Matter Expert with deep knowledge and experience.
  • Should have influencing and advisory skills.
  • Engage with multiple teams and be responsible for team decisions.
  • Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
  • Facilitate workshops and discussions to gather requirements and feedback from stakeholders.
  • Mentor junior team members to enhance their skills and knowledge in data engineering.

Professional & Technical Skills:

  • Programming Languages: Python (primary), Go, Java, TypeScript
  • Agentic AI Frameworks: LangGraph, CrewAI, AutoGen, LangChain, Semantic Kernel
  • LLMs: OpenAI GPT, Anthropic Claude, Llama, Mistral, Falcon, AWS Bedrock models
  • RAG Tools: Pinecone, FAISS, Weaviate, Qdrant, pgvector, AWS Kendra
  • AWS Services: SageMaker, Bedrock, Lambda, ECS/EKS, Step Functions, S3, DynamoDB, Glue, Redshift, CloudFormation/Terraform
  • LLMOps / CI-CD: GitLab CI/CD, AWS CodePipeline, MLflow, CloudWatch, Prometheus, Datadog, OpenTelemetry, Terraform
  • Must To Have Skills: Proficiency in AWS Machine Learning.
  • Good To Have Skills: Experience with Machine Learning (ML), Data Analytics, Amazon Web Services (AWS).
  • Strong understanding of data pipeline architecture and design principles.
  • Experience with ETL tools and frameworks for data processing.
  • Proficiency in programming languages such as Python or Java for data manipulation.

Additional Information:

  • 12+ years in software engineering, including 5+ years in AI/ML or data platform engineering.
  • Proven track record in production-grade LLM or agentic system design.
  • Strong foundation in data engineering and machine learning deployment.
  • Excellent leadership and communication skills with the ability to mentor and influence technical direction.
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Solutions Architect – Associate / Professional
  • The candidate should have minimum 18 years of experience in AWS Machine Learning.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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Confirmed 30+ days ago. Posted 20 days ago.

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