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

