AI / Generative AI Expert - Migration & Legacy Modernization
Amdocs
Job Overview
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Job Description
About Amdocs
Amdocs is a market leader in software products and services, empowering customers to build the future of communication and media experiences. With $5.00 billion in fiscal 2024 revenue, Amdocs accelerates service providers’ cloud migration, enables differentiation in the 5G era, and digitalizes operations. The company fosters a culture of impact, growth, flexibility, and connection, enabling employees to 'Live Amazing, Do Amazing'.
The Opportunity: AI / Generative AI Expert - Migration & Legacy Modernization
Amdocs is seeking a senior AI / Generative AI Expert with 6+ years of overall software engineering experience and 3+ years of hands-on experience in AI and Generative AI. This role focuses on building end-to-end Agentic AI solutions for migration, legacy modernization, and enterprise system transformation.
What You Will Do
- Design and develop comprehensive AI and Generative AI solutions, including Agentic AI workflows for critical migration and modernization use cases.
- Build proof-of-concept (POCs) and production-grade AI solutions to drive application, code, and data migration initiatives.
- Leverage advanced AI techniques to analyze, comprehend, and transform legacy systems into modern architectural frameworks.
- Evaluate, select, fine-tune, and optimize foundation models specifically for migration scenarios, such as code understanding, refactoring, translation, and documentation generation.
- Construct robust AI pipelines encompassing data ingestion, embeddings, RAG (Retrieval Augmented Generation), AI agents, thorough evaluation, and continuous monitoring.
- Implement prompt engineering, fine-tuning, and LoRA/PEFT methodologies to enhance accuracy in migration-related tasks.
- Seamlessly integrate AI solutions with existing Java- and C#-based applications and broader enterprise platforms.
- Deploy and manage AI workloads across leading cloud platforms like AWS, Azure, and GCP, supporting extensive modernization programs.
- Ensure high standards of scalability, security, reliability, and ethical/responsible AI practices across all deployments.
- Collaborate strategically with migration, product, and engineering teams to translate legacy transformation requirements into innovative AI-driven accelerators.
What You Need
AI / Generative AI Expertise:
- 3+ years of hands-on experience in AI and Generative AI, specifically with LLM-based systems.
- Deep understanding of Large Language Models (LLMs), embeddings, transformers, and Agentic AI patterns.
- Demonstrated experience building Agentic AI systems for multi-step, tool-driven workflows.
- Practical experience with model evaluation, fine-tuning, and optimization techniques.
Core Experience & SDLC:
- 6+ years of overall software engineering experience, showcasing strong exposure to SDLC, system design, and architecture.
- Proven track record in designing and delivering production-grade systems, beyond just prototypes.
- Strong understanding of enterprise architectures, system integration, and crucial scalability considerations.
Migration, Legacy & Technical Skills:
- Proficiency in Python, complemented by working knowledge of Java and/or C#.
- Experience in supporting or leading application, code, or platform migration initiatives.
- Understanding of legacy systems and technologies (e.g., COBOL, JCL, batch processing) or significant experience in legacy modernization programs.
- Experience deploying AI solutions on AWS, Azure, and/or GCP.
- Ability to transition AI-driven migration POCs into robust, production-grade solutions.
- Excellent analytical, communication, and problem-solving abilities.
Preferred Qualifications
- Experience with code analysis, refactoring, or translation tools.
- Familiarity with RAG (Retrieval Augmented Generation) architectures and vector databases for code and documentation retrieval.
- Experience with LLMOps / MLOps in large-scale transformation programs.
- Exposure to enterprise-scale modernization or platform engineering.
Nice to Have
- Hands-on experience with legacy codebases (mainframe, batch systems, procedural languages).
- Experience with multi-modal AI (text, code, diagrams).
- Knowledge of responsible AI, governance, and security in regulated environments.
- Contributions to migration accelerators, internal tools, or open-source projects.
Why Join Amdocs?
- Serve as a specialist in cutting-edge software and technology.
- Take an active role in technical mentoring within a dynamic team.
- Access stellar benefits, including health, dental, paid time off, and parental leave.
Key skills/competency
- Generative AI
- Large Language Models (LLMs)
- Agentic AI
- Legacy Modernization
- Cloud Platforms (AWS, Azure, GCP)
- Python
- Software Engineering
- System Design
- Retrieval Augmented Generation (RAG)
- MLOps
How to Get Hired at Amdocs
- Research Amdocs's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for AI roles: Highlight extensive experience in Generative AI, LLMs, Agentic AI, and legacy modernization relevant to Amdocs's tech stack.
- Showcase migration expertise: Provide concrete examples of successful legacy system transformations and cloud deployments using AI.
- Prepare for technical deep dives: Expect rigorous questions on Python, cloud platforms (AWS, Azure, GCP), and AI/ML system design, including LLM fine-tuning.
- Demonstrate problem-solving: Be ready to discuss complex problem-solving scenarios, particularly those involving large-scale enterprise system challenges and AI integration.
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