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Lead Senior Associate | AI/ML/Gen AI solutioning

  • Source: Naukri
  • Deloitte US-India Offices
  • Hybrid
  • Bengaluru
  • Full-Time
  • Senior

Job Description

Should you be interested, please apply using the link below:

https://southasiacareers.deloitte.com/job-invite/108719/

Role Title: Lead Senior Associate Creative Technology (Automation/AI/ML/RPA)

Location: Bangalore & Hyderabad, Hybrid (3 days onsite, 2 days remote)

Entity: Deloitte Touche Tohmatsu India LLP

About the Role

As a Senior AI Engineer, you will architect and deliver enterprise-grade AI solutions, with a strong emphasis on GenAI, agent-based systems, and LLM orchestration. You will own the technical roadmap, guide engineering best practices, and serve as a thought leader in implementing scalable, secure, and efficient AI workflows. You will drive innovation, elevate the engineering bar, and play a pivotal role in shaping Ecolabs applied AI capabilities.

Key Responsibilities:

  • Own end-to-end technical design and delivery of GenAI/agentic systems for internal or external applications
  • Architect multi-agent workflows using tools like LangChain, A2A protocols, and custom orchestration frameworks
  • Guide the design and tuning of prompt architectures, context strategies (e.g., with MCP), and hybrid RAG pipelines
  • Integrate AI services into enterprise platforms such as Azure Foundry, Databricks, and core business systems
  • Lead engineering pods, mentor engineers across levels, and drive technical alignment across product and platform teams
  • Push the boundaries of performance, latency, and accuracy through research-backed optimization
  • Define reusable templates, shared components, and internal GenAI SDKs Enforce standards around ethical AI use, context control, prompt security, and hallucination mitigation

Required Qualifications / Must have:

  • 4+ years of experience in AI/ML/GenAI solutioning, with 2+ years in technical leadership
  • Deep proficiency in Python 3 with strong command over openai, pydantic, transformers, faiss, and langchain
  • Demonstrated experience in deploying scalable GenAI solutions with cloud-native design
  • Strong working knowledge of Azure cloud services, GitHub workflows, and CI/CD best practices
  • Experience in vector store optimization, token-level control, and prompt performance management

Preferred Qualifications / Good to Have:

  • Hands-on leadership in projects involving MCP, A2A orchestration, or custom agentic services
  • Contributor to open-source GenAI tooling or frameworks
  • Familiarity with prompt observability and compliance tooling
  • Experience in conducting code reviews, architecture walkthroughs, and internal capability building
  • Thought leadership via internal brown-bags, hackathons, or community talksRole & responsibilities

Skills

  • LangChain
  • microsoft-azure
  • azure-databricks
  • databricks
  • aws-sdks
  • Python
  • FAISS
  • Github

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