Technical AI Solution Engineer
Location: Plano, TX
Role Type: part time with an option to FullTime Employee later
Seniority: Expert
Duration: 3 6 months
About the Role
Amdocs is seeking a highly skilled Technical AI Solution Engineer to design, architect, develop, and deliver cuttingedge AI and Generative AI (GAI) solutions across our customer needs. This role combines deep technical expertise in modern AI technologies with strong solution engineering capabilities and handson implementation skills.
The ideal candidate can translate business challenges into scalable AI-driven solutions, rapidly build PoCs/MVPs, and lead the full solution lifecycle - from ideation to production deployment.
Key Responsibilities
AI Solution Architecture & Design
- Lead the endtoend design of AI and Generative AI solutions, including system architecture, data flows, model selection, and integration patterns.
- Partner with customers, product managers, and business teams to identify highimpact AI-driven use cases.
- Evaluate AI technologies, frameworks, and vendors to recommend optimal solution approaches.
HandsOn Development & PoC/MVP Creation
- Build proofs of concept (PoC), MVPs, and production-grade features using Vibe coding, LLMs, embeddings, retrieval, agents, and advanced AI pipelines.
- Implement AI workflows such as MCP, RAG, finetuning, prompt engineering, agentic orchestration, and model optimization.
- Develop integrations with enterprise systems, APIs, data platforms, and cloud environments (AWS/Azure/Google Cloud Platform).
Technical Expertise & Evangelism
- Serve as a subject-matter expert and advisor on modern AI, GenAI, and LLM-based architectures.
- Stay up to date with advancements in AI infrastructure, LLM capabilities, vector databases, and agentic automation.
- Nice to have: Ability to conduct knowledge-sharing sessions, demos, and workshops with clients and internal teams.
Required Skills & Experience
Technical Skills
- Strong handson experience with LLMs, GAI frameworks, and modern AI stacks(OpenAI, Azure OpenAI, Anthropic, Meta Llama, etc.).
- Experience building AI pipelines using:
- MCP/RAG architectures
- Agents / multiagent orchestration
- Prompt engineering & evaluation techniques
- Finetuning or parameter-efficient training (LoRA, adapters, etc.)
- Proficiency in Vibe coding using the latest AI Code generation tools
- Proficiency in Python and/or Node.js, including:
- LangChain / Semantic Kernel / LlamaIndex
- ML frameworks (PyTorch, TensorFlow optional)
- Experience with vector databases (Pinecone, Weaviate, Chroma, Redis Vector).
- Knowledge of cloud AI services: Azure, AWS, Google Cloud Platform
- Strong understanding of API architectures, microservices, DevOps, CI/CD, and containerization.
Solution Engineering & Delivery Skills
- Proven ability to translate business needs into scalable AI designs.
- Experience interacting with customers, gathering requirements, and presenting technical solutions.
- Strong documentation, architecture diagramming, and communication skills.
Background
- 5 10+ years in software engineering or solution engineering.
- 2 3+ years specifically in AI/ML or GenAI implementation.
- Bachelor s/Master s in Computer Science, Engineering, AI/ML, or related fields.
Preferred Qualifications
- Experience with telco and media, or large enterprise environments.
- Knowledge of data engineering, ETL pipelines, feature stores.
- Experience with MLOps or LLMOps methodologies and tools.
- Exposure to vector search optimization, knowledge graphs, or reinforcement learning.
- Familiarity with responsible AI, security, governance, and compliance frameworks.
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