Artificial Intelligence Engineer
- Amdocs
- 4 - 9 years
- Pune
- 2 months ago
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Job Description
In one sentence
The Software Engineering Specialist (GenAI, Cloud Platforms) is an advanced individual contributor responsible for designing, developing, and scaling enterprisegrade Generative AI solutions. This role focuses on Large Language Models, agentic AI systems, and cloudnative architectures, contributing to complex software systems used by global customers. The specialist works independently on complex problem statements, provides technical guidance within the team, and influences platformlevel design decisions in alignment with Amdocs engineering standards .
What will your job look like?
Engineering & Solution Development
- Design, develop, and maintain enterprisescale GenAI applications, including LLMpowered services and intelligent agents.
- Implement RAG (RetrievalAugmented Generation) architectures integrating structured and unstructured enterprise data sources.
- Build and optimize agentic AI workflows, including orchestration, tool usage, memory, and planning patterns.
- Develop and integrate MCP (Model Context Protocol) servers and supporting services for scalable AI interactions.
- Ensure solutions are cloudnative, secure, scalable, and productionready, aligned with Amdocs engineering and SDLC practices .
Technical Ownership & Quality
- Assume technical ownership of assigned modules and services, from design through deployment and support.
- Perform code reviews, ensure high software quality, and contribute to meeting SLAs, KPIs, and reliability targets.
- Drive automation, observability, and performance optimization across GenAI services.
Architecture & Collaboration
- Contribute to enterprise GenAI architecture, including model selection, deployment patterns, and governance considerations.
- Collaborate with product, platform, and cloud teams to align AI capabilities with business and customer needs.
- Provide technical guidance and knowledge sharing within the engineering team, supporting onboarding and upskilling .
Innovation & Continuous Improvement
- Actively research and evaluate emerging GenAI technologies, tools, and frameworks.
- Drive continuous improvement in LLMOps, prompt engineering standards, and AI development best practices.
All you need is...
Experience & Background
- 49 years of experience in software engineering, with handson responsibility for complex, production systems.
- Strong experience building and operating cloudbased platforms (AWS, Azure, or GCP).
- Proven experience delivering enterprisegrade AI or dataintensive systems.
Technical Skills
- Large Language Models: Handson experience with GPT, Claude, or similar class models.
- Agentic AI systems: Design and implementation of multistep, toolusing AI agents.
- RAG architectures: Vector databases, embeddings, retrieval pipelines, and grounding strategies.
- Prompt engineering: Designing, testing, and optimizing prompts for reliability and performance.
- LLMOps: Model lifecycle management, monitoring, evaluation, versioning, and CI/CD for AI systems.
- Enterprise GenAI architecture: Security, governance, scalability, and integration patterns.
- Strong programming skills in one or more languages commonly used in AI platforms (e.g., Python, Java, or similar).
Education
- Bachelors degree in Computer Science, IT, Engineering, or equivalent practical experience .
Nice to Have
- Experience with multitenant SaaS platforms or largescale telecom/enterprise systems.
- Exposure to responsible AI practices, model governance, and data privacy considerations.
- Experience contributing to internal platforms, frameworks, or developer enablement tools.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full timeContact Details:
Company: AmdocsLocation(s): Pune
Keyskills: Agentic Ai Large Language Model Artificial Intelligence Machine Learning Python Retrieval Augmented Generation Deep Learning
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