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Salary
≈ $18k – $39k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026.

Overview
Company
Impact
Profile match
Tech Mahindra is a prominent Indian multinational information technology services and consulting enterprise specializing in digital transformation, cloud modernization, business process re-engineering, and network services. Headquartered in Pune, Maharashtra, India (with its registered office in Mumbai), the company is a flagship entity of the diversified Mahindra Group conglomerate. Established in 1986 (initially as Mahindra British Telecom), it operates across dozens of countries with a global delivery footprint serving enterprise clients in telecommunications, banking and financial services, healthcare, automotive, and retail. The organization is particularly recognized for its deep engineering heritage in telecommunications and 5G network integration, offering end-to-end solutions spanning artificial intelligence, enterprise application management, customer experience (CX), and next-generation connectivity infrastructure.
Backed by Seafund

Job Description

  • Skill Set :

    GCP,Data Governance,Vertex AI,Big query,Gemini

  • Total Experience :

    7.00 to 10.00 Years

  • No of Openings :

    1

  • Job Post Date :

    15/09/2026

  • Job Expiry Date :

    30/11/2026

  • Domain :

    IT

  • Location :

    BENGALURU [India]

  • Job Reference No :

    4107112

Job Summary

AI GEMINI INTEGRATION SPECIALIST

POSITION OVERVIEW

We are seeking an experienced AI Gemini Integration Specialist to design and deliver secure, scalable, production ready Generative AI solutions using Google Gemini and Vertex AI. The consultant will build AI assistants, agentic workflows, enterprise RAG solutions, and integrations that connect governed business data with enterprise applications and APIs.

KEY RESPONSIBILITIES

  • Design and implement solutions using Google Gemini and Vertex AI.
  • Develop AI assistants, copilots, conversational AI, and agentic workflows.
  • Build and optimize RAG pipelines, embeddings, vector search, and knowledge assistants.
  • Integrate AI services with enterprise applications, data platforms, APIs, and business workflows.
  • Implement prompt engineering, orchestration, tool/function calling, validation, and guardrails.
  • Ensure security, governance, Responsible AI, monitoring, and production readiness.

EXPECTED DELIVERABLES

  • AI assistants and enterprise copilots
  • RAG pipelines and agentic workflows
  • Reusable APIs and integration components
  • Evaluation, guardrail, monitoring, and deployment documentation

REQUIRED SKILLS

  • Google Gemini, Vertex AI, Generative AI, and LLMs
  • Agentic AI, prompt engineering, RAG, embeddings, and vector search
  • Python, REST APIs, microservices, and AI orchestration
  • LangChain, LangGraph, Semantic Kernel, CrewAI, or LlamaIndex
  • GCP, BigQuery, Cloud Run, Cloud Functions, and Kubernetes
  • Enterprise integration, data governance, security, and compliance

QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or a related discipline.
  • 5+ years of software, data, cloud, or integration engineering experience.
  • Hands on experience delivering Gemini, Vertex AI, or enterprise GenAI solutions into production.

PREFERRED CERTIFICATIONS

  • Google Professional Machine Learning Engineer
  • Google Cloud Professional Cloud Architect
  • Vertex AI / Generative AI certification

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