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, Secure, 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

Qualification15 years full time education

📌 Cloud Migration Engineer (Bengaluru)
🏢 Accenture Solutions
📍 Bengaluru