Cloud Migration Engineer

Accenture in India

Bengaluru

On-site

INR 600,000 - 1,000,000

Full time

14 days+

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Job summary

Accenture in India seeks aCloud Migration Engineer with 15+ years IT infra experience to lead cloud migrations, GenAI enablement, and enterprise IT advisory. You will guide architecture, governance, and client engagements from pre-sales through delivery in a multi-cloud setting.

Role spans business-case development, FinOps, and advanced AI readiness, partnering with sales and steering committees, with strong CxO interaction and market-facing pre-sales activities.

Qualifications

15+ years IT infrastructure and consulting/advisory experience.

Responsibilities

Develop business cases, TCO/ROI models, and FinOps strategies for cloud, AIOps, and AI transformation programmes.
Lead infrastructure maturity, cloud readiness, GenAI readiness, and Agentic AI assessments with gap analyses and roadmaps.
Architect cloud solutions (AWS, Azure, GCP) including landing zones, multi-cloud governance, and migration planning.
Design AIOps frameworks: observability, event correlation, auto-remediation, CMDB enrichment, and ITSM integration.
Advise on Generative AI adoption: RAG pipelines, vector databases, LLM fine-tuning, prompt engineering, and AI-ready infrastructure.
Design Agentic AI architectures: multi-agent orchestration, tool-use frameworks, autonomous workflows integrated with ITSM/ITOM.
Produce architecture deliverables: HLD, LLD, reference architectures, solution blueprints, and ADRs.
Design enterprise networks: SD-WAN, MPLS, SASE, ZTNA, NSX-T, and zero-trust security frameworks.
Serve as primary client-facing technical authority manage CxO relationships and steering committee representation.
Lead pre-sales: RFP/RFI responses, technical discovery, PoC proposals, solution demos, and bid governance.
Partner with sales teams on opportunity qualification (MEDDIC), SOW development, and commercial proposals.
Mentor consultants, contribute to practice development and repeatable pre-sales asset creation.

Skills

Generative AI

Azure OpenAI

AWS Bedrock

Vertex AI

GPT-4/Claude

RAG

vector DBs

prompt engineering

LLM fine-tuning

Cloud Strategy

Assessment

Education

15 years full time education

Tools

AutoGen

CrewAI

LangGraph

LangChain

LlamaIndex

tool-use frameworks

multi-agent orchestration

autonomous workflows

Job description

Technical Skills

Generative AI Azure OpenAI, AWS Bedrock, Vertex AI, GPT-4/Claude, RAG, vector DBs (Pinecone, pgvector), prompt engineering, LLM fine-tuning

Project Role

Cloud Migration Engineer

Project Role Description

Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes.

Must have skills

Cloud Strategy and Assessment

Good to have skills

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification

15 years full time education

Role Overview

15+ Years of experience

Associate Directory level - advisor leading enterprise IT infrastructure engagements — spanning Cloud, AIOps, Generative AI, and Agentic AI — from business case through architecture and client advisory. Client-facing at CxO level with active pre-sales involvement.

Key Responsibilities

Develop business cases, TCO/ROI models, and FinOps strategies for cloud, AIOps, and AI transformation programmes.
Lead infrastructure maturity, cloud readiness, GenAI readiness, and Agentic AI assessments with gap analysis and roadmaps.
Architect cloud solutions (AWS, Azure, GCP) including landing zones, multi-cloud governance, and migration planning.
Design AIOps frameworks: observability, event correlation, auto-remediation, CMDB enrichment, and ITSM integration.
Advise on Generative AI adoption: RAG pipelines, vector databases, LLM fine-tuning, prompt engineering, and AI-ready infrastructure (GPU, InfiniBand, MLOps).
Design Agentic AI architectures: multi-agent orchestration, tool-use frameworks, autonomous workflows integrated with ITSM/ITOM.
Produce architecture deliverables: HLD, LLD, reference architectures, solution blueprints, and ADRs.
Design enterprise networks: SD-WAN, MPLS, SASE, ZTNA, NSX-T, and zero-trust security frameworks.
Serve as primary client-facing technical authority manage CxO relationships and steering committee representation.
Lead pre-sales: RFP/RFI responses, technical discovery, PoC proposals, solution demos, and bid governance.
Partner with sales teams on opportunity qualification (MEDDIC), SOW development, and commercial proposals.
Mentor consultants, contribute to practice development and repeatable pre-sales asset creation.

Domain Technologies & Skills

Generative AI Azure OpenAI, AWS Bedrock, Vertex AI, GPT-4/Claude, RAG, vector DBs (Pinecone, pgvector), prompt engineering, LLM fine-tuning

Agentic AI AutoGen, CrewAI, LangGraph, LangChain, LlamaIndex, MCP, tool-use frameworks, multi-agent orchestration, autonomous workflows

AI Infra NVIDIA H100/A100, InfiniBand/RoCE, MLflow, Kubeflow, SageMaker, vLLM, Triton, AI observability, MLOps platforms

Cloud AWS (EKS, VPC, Direct Connect), Azure (Landing Zones, AKS, ExpressRoute), GCP, multi-cloud governance, FinOps, CAF

AIOps Dynatrace, Splunk ITSI, ServiceNow ITOM, Moogsoft, BigPanda, Prometheus, Grafana, OpenTelemetry, CMDB

Network SD-WAN (Cisco/VMware/Fortinet), MPLS, BGP, SASE, ZTNA, NSX-T, Cisco ACI, Infoblox, SDP

Compute VMware vSphere/vSAN/NSX, Nutanix HCI, Kubernetes, OpenShift, Terraform, Ansible, GitOps, Docker

Security Zero Trust, ISO 27001, SOC 2, NIST CSF, IAM/PAM, EU AI Act, AI governance, SIEM, micro-segmentation

Frameworks TOGAF, AWS Well-Architected, Azure CAF, ITIL 4, COBIT, SAFe, DevSecOps, Zachman

Required Qualifications

15+ years IT infrastructure 5+ years consulting / advisory.
Proven cloud & AIOps transformation programme delivery.
Business case development and executive stakeholder engagement.
Architecture deliverable ownership: HLD, LLD, ADRs, blueprints.
Strong client-facing, pre-sales, and bid management experience.
TOGAF, ITIL 4, or equivalent framework proficiency.

Preferred Qualifications

AWS / Azure / GCP Professional certification CCIE/CCDE.
Hands-on GenAI platforms: Azure OpenAI, Bedrock, Vertex AI.
Agentic AI frameworks: LangChain, AutoGen, CrewAI, LangGraph.
RAG pipeline design, vector DB implementation, LLM fine-tuning.
Regulated industry experience: FSI, healthcare, government.
Big 4 or boutique consulting background. MBA / MSc advantageous.

KEY ATTRIBUTES

Executive presence — confident at board, steering committee, and design authority level.
Commercial acumen — translates complexity into business value drives pre-sales win rates.
Structured communicator — boardroom decks, technical docs, winning bids.
Intellectually curious — Generative AI, Agentic AI, cloud-native, platform engineering.

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