Cloud Migration Engineer
Accenture
3 days ago
Full-time
On-site
Bengaluru, India
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 : NA
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.
TECHNICAL 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
TECHNICAL SKILLS
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.
CONSULTING SERVICE LINES
Advisory- Cloud & AI strategy
AIOps operating model
GenAI use-case advisory
Agentic AI model design
Vendor selection
Business case & FinOps
Assessment
Infra maturity review
Cloud readiness
GenAI/AI readiness
Agentic AI maturity
AIOps readiness
DR/BC gap analysis
Design & Arch
Cloud landing zones
AI-ready infra design
Agentic AI platform
RAG & vector DB design
HLD / LLD / ADRs
AIOps observabilityDD
15 years of continue educations is required 15 years full time education
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 : NA
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.
TECHNICAL 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
TECHNICAL SKILLS
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.
CONSULTING SERVICE LINES
Advisory- Cloud & AI strategy
AIOps operating model
GenAI use-case advisory
Agentic AI model design
Vendor selection
Business case & FinOps
Assessment
Infra maturity review
Cloud readiness
GenAI/AI readiness
Agentic AI maturity
AIOps readiness
DR/BC gap analysis
Design & Arch
Cloud landing zones
AI-ready infra design
Agentic AI platform
RAG & vector DB design
HLD / LLD / ADRs
AIOps observabilityDD
15 years of continue educations is required 15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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