Agentic Software Engineer - Cloud Migration

Who are we

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit

At Amdocs, our mission is to empower our employees to Live Amazing, Do Amazing every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

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In one sentence

As a Senior Agentic Software Engineer - Cloud Migration, you will design and build AI agents that automate key steps of cloud migration programs: discovery, assessment, migration planning, wave design, and infrastructure-as-code generation. You'll combine your cloud/infra expertise with GenAI and multi-agent orchestration to create reusable, platform-agnostic accelerators used across Amdocs Cloud Studio engagements.
You'll work in a cross-functional agentic squad with architects, data engineers, and the R&D foundation team to turn real customer migration patterns (e.g., VMware exit, OpenShift, hybrid cloud) into enterprise-grade agentic solutions.

What will your job look like

Key Responsibilities
. Design and implement LLM-powered agents that support:
o Environment discovery and inventory analysis
o Workload classification (6Rs), grouping, and dependency mapping
o Migration wave planning and landing zone recommendations
o IaC template generation (Terraform/CloudFormation)
. Collaborate with the foundation/platform team to:
o Use shared memory, context, and orchestration frameworks
o Contribute new agentic primitives (e.g., workload analyzer, IaC generator) for reuse
. Integrate agents into cloud-native services (APIs, microservices, or workflows on Kubernetes/serverless).
. Implement guardrails, evaluation, and observability for AI behavior (metrics, logging, test harnesses).
. Partner with Cloud Studio architects and delivery teams to turn field patterns into reusable accelerators.
. Contribute to demo environments and portals (e.g., self-service migration demos for presales and events).
. Document designs, decisions, and patterns in a way that others can reuse and extend.
Common Skills & Experience (All Agentic Engineer Roles)
GenAI & Agentic Systems
. Hands-on experience integrating LLMs via APIs (OpenAI / Azure OpenAI / Bedrock / others).
. Practical experience with at least one framework such as LangChain, LangGraph, LlamaIndex, or similar for building LLM/agentic apps.
. Strong prompt & context engineering skills: structuring system prompts, chain-of-thought hints, retrieval contexts, and examples.
. Experience building tool-using agents (e.g., agents that call code analyzers, cloud APIs, or databases).
. Understanding of RAG patterns (retrieval-augmented generation): embeddings, vector stores, hybrid search, and when RAG vs. fine-tuning is appropriate.
. Exposure to multi-agent orchestration (e.g., task decomposition, agent-to-agent handoff, shared context/state machines) is a strong plus.

All you need is...

Software Engineering & Architecture
. 5-8+ years of hands-on software engineering experience.
. Strong coding skills in Python plus at least one of: TypeScript, Java, Go, or .NET.
. Experience building APIs, services, and CLIs, and integrating them in a cloud environment.
. Solid understanding of cloud-native patterns: microservices, containerization (Docker), orchestration (Kubernetes), CI/CD pipelines.
. Familiarity with logging, monitoring, and observability ability to design systems that can be debugged in production.
. Strong testing mindset: unit tests, integration tests, plus basic understanding of LLM evaluation approaches (golden datasets, scoring, human review loops).

Ways of Working
. Ability to work in cross-functional squads (architects, engineers, UX, PM, domain SMEs).
. Experience in consulting, professional services, or product engineering is a plus.
. Strong written and verbal communication able to explain complex designs to technical and non-technical stakeholders.
. Comfortable working in a fast-moving R&D environment with iterative discovery and delivery.
Cloud Migration - Domain-Specific Skills
Cloud & Infrastructure Expertise
. Hands-on experience with at least two major cloud providers (AWS, Azure, GCP).
. Strong understanding of on-prem & virtualized environments, particularly VMware familiarity with migration tools/approaches (e.g., VMware exit, lift-and-shift, replatform).
. Proficiency with Infrastructure-as-Code:
o Terraform strongly preferred
o CloudFormation / Bicep / ARM/CDK is a plus
. Solid grasp of:
o VPC/VNet design (subnets, routing, NAT, load balancers)
o Identity & access management (IAM, RBAC)
o Security & compliance considerations (data residency, encryption, network segmentation)
Cloud Migration Concepts
. Familiarity with cloud migration strategies (6Rs/7Rs, wave planning, landing zones, blueprinting).
. Experience with:
o Application and infrastructure discovery/assessment
o Grouping workloads based on dependency and risk
o Designing Cloud landing zones and target reference architectures
. Experience participating in or leading migration programs (even if non-AI) is a strong plus.
Agentic Migration Use Cases
. Ability to build agents that can:
o Read CMDB/exported inventories and identify migration candidates and blockers
o Propose wave plans, target architectures, and landing zones based on patterns
o Generate IaC templates, runbooks, and validation checklists
o Surface risks and recommendations (unsupported OS, deprecated tech, compliance flags)
Nice-to-Have
. Experience integrating with migration tools (AWS MGN, Azure Migrate, HCX, etc.).
. Exposure to FinOps or cost modeling for cloud migrations.

Why you will love this job:

Ability to work in cross-functional squads (architects, engineers, UX, PM, domain SMEs).