Principal Generative AI Solutions Architect

2 weeks ago

Bengaluru, Karnataka, India Idexcel Full time

Job Summary:

We are seeking an innovative and technically hands-on Principal Generative AI Solutions Architect to lead the design and implementation of Generative AI (GenAI) solutions using Large Language Models (LLMs) such as Claude, ChatGPT, and open-source models (e.g., LLaMA, Mistral). A key aspect of the role will be to integrate agentic capabilities , enabling autonomous and goal-driven AI systems to handle complex enterprise workflows.

Key Responsibilities:

  • Architect & implement GenAI solutions using LLMs (hosted and open-source) to solve real business problems across domains such as customer support, marketing, HR, legal, and R&D.
  • Collaborate with stakeholders to identify use cases, design proof-of-concepts (PoCs), and scale successful pilots into production-grade systems.
  • Define the end-to-end architecture, including data pipelines, prompt engineering, retrieval-augmented generation (RAG), model fine-tuning, and deployment strategies.
  • Evaluate and integrate APIs from platforms such as OpenAI (ChatGPT), Anthropic (Claude), Google Vertex AI, Amazon Bedrock , and other model hubs.
  • Lead the development of multi-agent systems for complex workflows involving planning, reasoning, and tool use.
  • Design agent-based architectures using frameworks like LangGraph, AutoGen, CrewAI, or custom orchestrators where LLMs collaborate with tools, APIs, or other agents to accomplish tasks autonomously.
  • Ensure GenAI solutions are aligned with enterprise security, compliance, and responsible AI principles.
  • Analyze the current application and its architecture to design an enterprise platform for GEN AI based integrated or shared services.
  • Understand various compliance criteria (SOC 1, SOC 2, PCI-DSS, ISO-27001) to design/architect GEN AI based solutions.
  • Lead development teams in implementing architectural blueprints and mentor engineers in GenAI best practices.
  • Stay current on the GenAI landscape and continuously assess emerging tools, frameworks, model capabilities and planning agents(e.g., LangChain, LlamaIndex, vector databases).
  • Support hybrid LLM deployments using cloud-native and on-premise infrastructure (e.g., SageMaker, Azure ML, Databricks, Kubernetes).

Required Skills & Experience:

  • 10+ years of experience in software architecture with at least 2+ years in designing and deploying AI/ML or NLP solutions.
  • Hands-on experience with LLMs (e.g., ChatGPT, Claude, LLaMA, GPT-4, Gemini), including prompt engineering , fine-tuning , or RAG architectures .
  • Strong experience in designing and implementing agentic systems where LLMs operate autonomously or in structured workflows (e.g., using LangChain Agents, LangGraph, AutoGen, CrewAI ).
  • Proficient with modern AI development frameworks: LangChain , Transformers , Hugging Face , Vector DBs (e.g., Pinecone, FAISS, Weaviate) .
  • Cloud platform experience: AWS, Azure, or GCP ; familiarity with Amazon Bedrock , Azure OpenAI , or Google Generative AI Studio .
  • Experience in containerization, orchestration (e.g., Docker, Kubernetes ) and MLOps practices.
  • Strong understanding of data privacy, model governance , and ethical AI considerations in enterprise settings.

Excellent communication and leadership skills with a track record of guiding cross-functional teams

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