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, Protected, 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 (Karnataka)
🏢 Accenture
📍 Karnataka