Gen AI Architect

Join Delphi - Where Innovation meets transformation

hybrid work model

We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset.

Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization.

About The Role

Generative AI Architect

Job Responsibilities

Architecture & Design

• Define and design scalable architectures for GenAI solutions (chatbots, copilots, knowledge assistants, automation workflows).
• Select appropriate AI models (OpenAI, Azure OpenAI, Anthropic, Llama, Hugging Face, etc.) based on business use cases.
• Integrate GenAI with enterprise data platforms (Azure Data Lake, Databricks, Synapse, etc.) and applications (CRM, ERP, custom apps).

Solution Delivery

• Lead end-to-end implementation of GenAI-powered applications, ensuring performance, accuracy, compliance, and security.
• Drive prompt engineering, fine-tuning, and evaluation of LLMs.
• Develop reusable frameworks, APIs, and reference architectures for GenAI adoption.

Governance & Compliance

• Define AI governance, responsible AI, and model risk management frameworks.
• Ensure solutions align with data privacy, ethical AI, and regulatory requirements (GDPR, HIPAA, etc.).

Stakeholder Management

• Partner with business leaders, product owners, and engineering teams to translate business problems into AI-driven solutions.
• Provide technical leadership, mentoring, and guidance to engineering and data science teams.

Innovation & R&D

• Stay updated with the latest GenAI research, frameworks, and tools to drive innovation.
• Evaluate vendor offerings and develop proof of concepts (PoCs) for new AI capabilities.

Job requirements

Technical Expertise

• Strong knowledge of

  LLMs, Transformers, and GenAI frameworks

  (LangChain, LlamaIndex, RAG pipelines).
• Experience with

  cloud platforms

  : Azure AI Services.
• Hands-on with

  Python, PyTorch, TensorFlow

  and deployment pipelines (Docker, Kubernetes, MLOps).
• Expertise in

  vector databases

  (Pinecone, Weaviate, ChromaDB, FAISS) for semantic search.
• Strong understanding of

  data engineering

  and integration with enterprise ecosystems.

Architecture Skills

• Proven experience in designing

  enterprise-scale AI/ML architectures

  .
• Strong grounding in

  microservices, APIs, security, and performance optimization

  .
• Experience in

  solutioning for copilots, chatbots, document intelligence, and automation

  .

Professional Experience

• 10+ years in solution architecture, with 3+ years in AI/ML and at least 1–2 years in Generative AI.
• Demonstrated experience in delivering

  AI projects in enterprise environments

  .

Soft Skills

• Strong communication and presentation skills to engage CxO stakeholders.
• Ability to bridge business requirements and technical capabilities.
• Leadership in driving cross-functional teams.

What we offer

competitive compensation package, performance-based incentives,

remote work