19 hours ago
Pune, IndiaSenior
Responsibilities
- Design and build prompts, tools, agents, orchestration flows, memory and context handling, retrieval pipelines, and evaluation harnesses.
- Develop AWS-based agent workflows using Bedrock, Lambda, API Gateway, S3, OpenSearch, and Knowledge Bases.
- Implement data ingestion, parsing, chunking, enrichment, embeddings, vector search, and retrieval workflows for structured and unstructured content.
- Engineer PII detection and redaction, prompt-injection defenses, content filters, guardrails, authentication, authorization, lineage, and audit logging.
- Collaborate with architects, data engineers, product owners, and security stakeholders to deliver tested, observable, and maintainable software.
- Maintain component designs, integration specifications, deployment runbooks, evaluation results, and reusable engineering patterns.
Requirements
- A bachelor's degree in Computer Science, Computer Engineering, Data Science, AI/ML, Information Technology, or a related engineering discipline is required.
- At least 7.5 years of experience is required, with Level 8 qualifications typically including 7+ years of software, data, or AI engineering experience, 3+ years of cloud-native architecture or engineering, and 1–2+ years of GenAI, LLM, NLP, or agentic AI delivery.
- Hands-on Python coding experience and strong understanding of APIs, distributed systems, testing, observability, and secure SDLC practices are required.
- Experience with Amazon Bedrock, Bedrock Agents or AgentCore, Knowledge Bases, Guardrails, Lambda, API Gateway, Step Functions, OpenSearch, SageMaker, IAM, CloudWatch, CloudTrail, VPC, KMS, and S3 is required.
- Knowledge of LLM application architecture, RAG, function and tool calling, agent orchestration, model invocation, prompt engineering, embeddings, vector databases, and evaluation metrics is required.
- Experience implementing traditional ML and GenAI components across data preparation, model integration, deployment, monitoring, and continuous improvement is required.
- Experience delivering AI/ML or data products in an industry such as banking, insurance, healthcare, retail, telecom, or capital markets is required.
- AWS Solutions Architect or Machine Learning Specialty certification, CDK or Terraform, EKS, Bedrock model evaluation, Amazon Q, responsible AI controls, and GenAI FinOps are preferred.
- Exposure to LangChain, LangGraph, LlamaIndex, Haystack, MLflow, FastAPI, Docker, Kubernetes, responsible AI, model risk management, synthetic data, human-in-the-loop review, A/B testing, and GenAI cost optimization is preferred.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.