Software Engineer( Agentic AI Cloud Migration)

Amdocs; Pune District; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading tech company in Pune is seeking a Senior Agentic Software Engineer to design and build AI agents for automating cloud migration programs. In this role, you will leverage your expertise in cloud infrastructure and GenAI to create reusable accelerators for Amdocs Cloud Studio engagements. You will work with cross-functional teams on environment discovery, workload classification, and integration of agents into cloud-native services. The ideal candidate will have a strong software engineering background and experience with major cloud providers.

Qualifications

• 5–8+ years of hands-on software engineering experience.
• Strong coding skills in Python plus TypeScript, Java, Go, or .NET.
• Experience building APIs, services, and CLIs in cloud environments.
• Solid understanding of microservices and containerization.
• Strong testing mindset including unit and integration tests.

Responsibilities

• Design LLM-powered agents for cloud migration.
• Integrate agents into cloud-native services.
• Implement observability for AI behavior.
• Collaborate with Cloud Studio architects.
• Document designs for reuse and extension.

Skills

Integrating LLMs via APIs

Frameworks such as LangChain or similar

Prompt & context engineering

Tool-using agents experience

Understanding of RAG patterns

Exposure to multi-agent orchestration

Strong coding skills in Python

Coding skills in TypeScript, Java, Go, or .NET

Building APIs, services, and CLIs

Understanding of cloud-native patterns

Designing systems for production debugging

Testing mindset

Consulting or professional services experience

Written and verbal communication

Acting in fast-moving R&D environments

Experience with major cloud providers

Tools

Terraform

CloudFormation

Bicep

ARM/CDK

AWS

Azure

GCP

VMware

Job description

Overview

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 www.amdocs.com

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.

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.

What will your job look like?

Key Responsibilities

• Design and implement LLM-powered agents that support environment discovery and inventory analysis
• Design and implement LLM-powered agents that support workload classification (6Rs), grouping, and dependency mapping
• Design and implement LLM-powered agents that support migration wave planning and landing zone recommendations
• Collaborate with the foundation/platform team to use shared memory, context, and orchestration frameworks
• 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

• 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: Terraform strongly preferred; CloudFormation / Bicep / ARM/CDK is a plus; Identity & access management (IAM, RBAC); Security & compliance considerations (data residency, encryption, network segmentation)
• Familiarity with cloud migration strategies (6Rs/7Rs, wave planning, landing zones, blueprinting)
• Experience with: application and infrastructure discovery/assessment; grouping workloads based on dependency and risk; 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 read CMDB/exported inventories and identify migration candidates and blockers
• Propose wave plans, target architectures, and landing zones based on patterns
• Generate IaC templates, runbooks, and validation checklists
• 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).

Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce