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HCLTech

Sr Subject Matter Expert (Support&Ops)

Gautam Buddha Nagar · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 31d ago

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Skills required

20 listed
Google Kubernetes Engine (GKE)Natural Language ProcessingGoogle Vertex AIAgentic AIData CollectionCloud StorageGoogle CloudPrompt Engineering+12 more
Google Kubernetes Engine (GKE)Natural Language ProcessingGoogle Vertex AIAgentic AIData Collection

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Job description

Job Summary

Job Title: Senior Technical Lead - Generative AI

Location: Noida, Hyderabad, Chennai, Bangalore, Pune

Job Type: Full-Time

Band: E3.2

Experience: 10-13 years (with at least 2 years in Generative AI in production development and implementation in Google AI platform – Gemini Enterprise Agent platform/Vertex AI)

Key Responsibilities

  • Lead the design, development, and deployment of AI Agents using Generative AI models, ADK, LangGraph, LangChain, Python, GCP (Gemini Enterprise Agent platform/Vertex AI).
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Drive the end-to-end lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.
  • Setting up Compute Engine instances, Google Kubernetes Engine (GKE) clusters, and Cloud Storage.
  • Hands-on proficiency with Google Cloud services like App Engine, Cloud Functions, and Cloud Run
  • Strong knowledge of Infrastructure as Code (IaC) tools like Terraform, as well as basic Python or Shell scripting.
  • Mentor and guide junior team members, fostering a culture of continuous learning and innovation.
  • Stay updated with the latest advancements in Generative AI and AI/ML technologies and integrate them into ongoing projects.
  • Optimize and fine-tune AI models for performance, scalability, and reliability.
  • Develop and maintain comprehensive documentation for all AI/ML projects and processes.

 

Skill Requirements

 

Must Have Skills:

  • Strong hands-on experience with LLMs, RAG, agentic automation, and agent frameworks like Lang Graph, ADK for Generative AI use-cases on Gemini Enterprise Agent Platform / Vertex AI.
  • Extensive experience in Prompt Engineering and ability to design and build Prompt libraries to achieve desired goals.

Preferred Skills:

  • Experience with natural language processing (NLP) and computer vision.
  • Familiarity with MLOps practices and tools.
  • Knowledge of data engineering and big data technologies.
  • Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform.
  • Ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.

Other Requirements

Qualifications:

  • Strong proficiency in Python programming and experience with AI/ML frameworks, models and algorithms.
  • Experience with LLMs, RAG, agentic automation.
  • Worked on agent frameworks like Lang Graph, ADK on Gemini Enterprise Agent Platform / Vertex AI.
  • Hands-on experience in Gen AI observability & monitoring via tools like Lang Smith
  • Experience with deep learning, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.
  • Extensive experience in Prompt Engineering.
  • Good understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI/agentic ai related projects
  • Proven track record of leading and delivering complex AI/ML projects.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical stakeholders.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
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97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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